deserializeManySparse(
/**
* Encode strings into web-safe base64 format.
- * Refer to the following article for more information on base64 format:
- * en.wikipedia.org/wiki/Base64. Base64 strings may have padding with '=' at the
+ * Refer to this article for more information on
+ * base64 format. Base64 strings may have padding with '=' at the
* end so that the encoded has length multiple of 4. See Padding section of the
* link above.
* Web-safe means that the encoder uses - and _ instead of + and /.
@@ -992,8 +993,8 @@ public WholeFileReader wholeFileReader(WholeFileReader.Options... options) {
}
/**
- * Writes contents to the file at input filename. Creates file and recursively
- * creates directory if not existing.
+ * Writes {@code contents} to the file at input {@code filename}.
+ * Creates the file and recursively creates directory if it does not exist.
*
* @param filename scalar. The name of the file to which we write the contents.
* @param contents scalar. The content to be written to the output file.
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/MathOps.java b/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/MathOps.java
index d0e1f2ca7f7..2575d62c8d8 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/MathOps.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/MathOps.java
@@ -1866,7 +1866,7 @@ public SegmentProd segmentProd(Operand data,
* For example:
*
* c = tf.constant([[1,2,3,4], [4, 3, 2, 1], [5,6,7,8]])
- * tf.segment_sum(c, tf.constant([0, 0, 1]))
+ * tf.math.segment_sum(c, tf.constant([0, 0, 1]))
* # ==> [[5, 5, 5, 5],
* # [5, 6, 7, 8]]
*
@@ -2056,8 +2056,8 @@ public Tan tan(Operand x) {
* x = tf.constant([-float("inf"), -5, -0.5, 1, 1.2, 2, 3, float("inf")])
* tf.math.tanh(x)
* <tf.Tensor: shape=(8,), dtype=float32, numpy=
- * array([-1. , -0.99990916, -0.46211717, 0.7615942 , 0.8336547 ,
- * 0.9640276 , 0.9950547 , 1. ], dtype=float32)>
+ * array([-1.0, -0.99990916, -0.46211717, 0.7615942 , 0.8336547 ,
+ * 0.9640276 , 0.9950547 , 1.0], dtype=float32)>
*
*
*
@@ -2111,8 +2111,7 @@ public TruncateMod truncateMod(Operand x, Operand y
* Read
* the section on segmentation
* for an explanation of segments.
- * This operator is similar to the unsorted segment sum operator found
- * (here) .
+ *
This operator is similar to {@code tf.math.unsorted_segment_sum},
* Instead of computing the sum over segments, it computes the maximum such that:
*
\(output_i = \max_{j...} data[j...]\) where max is over tuples {@code j...} such
* that {@code segment_ids[j...] == i}.
@@ -2121,20 +2120,33 @@ public TruncateMod truncateMod(Operand x, Operand y
* {@code output[i] = numeric_limits::lowest()}.
* If the given segment ID {@code i} is negative, then the corresponding value is
* dropped, and will not be included in the result.
+ *
Caution: On CPU, values in {@code segment_ids} are always validated to be less than
+ * {@code num_segments}, and an error is thrown for out-of-bound indices. On GPU, this
+ * does not throw an error for out-of-bound indices. On Gpu, out-of-bound indices
+ * result in safe but unspecified behavior, which may include ignoring
+ * out-of-bound indices or outputting a tensor with a 0 stored in the first
+ * dimension of its shape if {@code num_segments} is 0.
*
*
*
For example:
- *
- * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
- * tf.unsorted_segment_max(c, tf.constant([0, 1, 0]), num_segments=2)
- * # ==> [[ 4, 3, 3, 4],
- * # [5, 6, 7, 8]]
- *
+ *
+ *
+ *
+ * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
+ * tf.math.unsorted_segment_max(c, tf.constant([0, 1, 0]), num_segments=2).numpy()
+ * array([[4, 3, 3, 4],
+ * [5, 6, 7, 8]], dtype=int32)
+ *
+ *
+ *
*
* @param data type for {@code output} output
* @param data The data value
* @param segmentIds A tensor whose shape is a prefix of {@code data.shape}.
+ * The values must be less than {@code num_segments}.
+ * Caution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
* @param numSegments The numSegments value
* @param data type for {@code UnsortedSegmentMax} output and operands
* @return a new instance of UnsortedSegmentMax
@@ -2149,8 +2161,7 @@ public UnsortedSegmentMax unsortedSegmentMax(Operand d
* Read
* the section on segmentation
* for an explanation of segments.
- * This operator is similar to the unsorted segment sum operator found
- * (here) .
+ *
This operator is similar to {@code tf.math.unsorted_segment_sum},
* Instead of computing the sum over segments, it computes the minimum such that:
*
\(output_i = \min_{j...} data_[j...]\) where min is over tuples {@code j...} such
* that {@code segment_ids[j...] == i}.
@@ -2158,18 +2169,31 @@ public UnsortedSegmentMax unsortedSegmentMax(Operand d
* possible value for the specific numeric type,
* {@code output[i] = numeric_limits::max()}.
* For example:
- *
- * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
- * tf.unsorted_segment_min(c, tf.constant([0, 1, 0]), num_segments=2)
- * # ==> [[ 1, 2, 2, 1],
- * # [5, 6, 7, 8]]
- *
+ *
+ *
+ *
+ * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
+ * tf.math.unsorted_segment_min(c, tf.constant([0, 1, 0]), num_segments=2).numpy()
+ * array([[1, 2, 2, 1],
+ * [5, 6, 7, 8]], dtype=int32)
+ *
+ *
+ *
* If the given segment ID {@code i} is negative, then the corresponding value is
* dropped, and will not be included in the result.
+ *
Caution: On CPU, values in {@code segment_ids} are always validated to be less than
+ * {@code num_segments}, and an error is thrown for out-of-bound indices. On GPU, this
+ * does not throw an error for out-of-bound indices. On Gpu, out-of-bound indices
+ * result in safe but unspecified behavior, which may include ignoring
+ * out-of-bound indices or outputting a tensor with a 0 stored in the first
+ * dimension of its shape if {@code num_segments} is 0.
*
* @param data type for {@code output} output
* @param data The data value
* @param segmentIds A tensor whose shape is a prefix of {@code data.shape}.
+ * The values must be less than {@code num_segments}.
+ * Caution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
* @param numSegments The numSegments value
* @param data type for {@code UnsortedSegmentMin} output and operands
* @return a new instance of UnsortedSegmentMin
@@ -2184,26 +2208,38 @@ public UnsortedSegmentMin unsortedSegmentMin(Operand d
* Read
* the section on segmentation
* for an explanation of segments.
- * This operator is similar to the unsorted segment sum operator found
- * (here) .
+ *
This operator is similar to {@code tf.math.unsorted_segment_sum},
* Instead of computing the sum over segments, it computes the product of all
* entries belonging to a segment such that:
*
\(output_i = \prod_{j...} data[j...]\) where the product is over tuples
* {@code j...} such that {@code segment_ids[j...] == i}.
*
For example:
- *
- * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
- * tf.unsorted_segment_prod(c, tf.constant([0, 1, 0]), num_segments=2)
- * # ==> [[ 4, 6, 6, 4],
- * # [5, 6, 7, 8]]
- *
+ *
+ *
+ *
+ * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
+ * tf.math.unsorted_segment_prod(c, tf.constant([0, 1, 0]), num_segments=2).numpy()
+ * array([[4, 6, 6, 4],
+ * [5, 6, 7, 8]], dtype=int32)
+ *
+ *
+ *
* If there is no entry for a given segment ID {@code i}, it outputs 1.
*
If the given segment ID {@code i} is negative, then the corresponding value is
* dropped, and will not be included in the result.
+ * Caution: On CPU, values in {@code segment_ids} are always validated to be less than
+ * {@code num_segments}, and an error is thrown for out-of-bound indices. On GPU, this
+ * does not throw an error for out-of-bound indices. On Gpu, out-of-bound indices
+ * result in safe but unspecified behavior, which may include ignoring
+ * out-of-bound indices or outputting a tensor with a 0 stored in the first
+ * dimension of its shape if {@code num_segments} is 0.
*
* @param data type for {@code output} output
* @param data The data value
* @param segmentIds A tensor whose shape is a prefix of {@code data.shape}.
+ * The values must be less than {@code num_segments}.
+ * Caution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
* @param numSegments The numSegments value
* @param data type for {@code UnsortedSegmentProd} output and operands
* @return a new instance of UnsortedSegmentProd
@@ -2227,19 +2263,32 @@ public UnsortedSegmentProd unsortedSegmentProd(Operand d
* If the given segment ID {@code i} is negative, the value is dropped and will not be
* added to the sum of the segment.
* {@code num_segments} should equal the number of distinct segment IDs.
+ *
Caution: On CPU, values in {@code segment_ids} are always validated to be less than
+ * {@code num_segments}, and an error is thrown for out-of-bound indices. On GPU, this
+ * does not throw an error for out-of-bound indices. On Gpu, out-of-bound indices
+ * result in safe but unspecified behavior, which may include ignoring
+ * out-of-bound indices or outputting a tensor with a 0 stored in the first
+ * dimension of its shape if {@code num_segments} is 0.
*
*
*
- * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
- * tf.math.unsorted_segment_sum(c, tf.constant([0, 1, 0]), num_segments=2)
- * # ==> [[ 5, 5, 5, 5],
- * # [5, 6, 7, 8]]
- *
+ *
+ *
+ *
+ * c = [[1,2,3,4], [5,6,7,8], [4,3,2,1]]
+ * tf.math.unsorted_segment_sum(c, [0, 1, 0], num_segments=2).numpy()
+ * array([[5, 5, 5, 5],
+ * [5, 6, 7, 8]], dtype=int32)
+ *
+ *
+ *
*
* @param data type for {@code output} output
* @param data The data value
* @param segmentIds A tensor whose shape is a prefix of {@code data.shape}.
+ * The values must be less than {@code num_segments}.
+ * Caution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
* @param numSegments The numSegments value
* @param data type for {@code UnsortedSegmentSum} output and operands
* @return a new instance of UnsortedSegmentSum
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/Ops.java b/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/Ops.java
index 223754b0480..c5d4de34329 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/Ops.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/Ops.java
@@ -367,20 +367,20 @@ public final class Ops {
public final SparseOps sparse;
- public final BitwiseOps bitwise;
-
public final TpuOps tpu;
- public final AudioOps audio;
+ public final BitwiseOps bitwise;
public final MathOps math;
- public final SignalOps signal;
+ public final AudioOps audio;
- public final TrainOps train;
+ public final SignalOps signal;
public final QuantizationOps quantization;
+ public final TrainOps train;
+
private final Scope scope;
Ops(Scope scope) {
@@ -398,13 +398,13 @@ public final class Ops {
random = new RandomOps(this);
strings = new StringsOps(this);
sparse = new SparseOps(this);
- bitwise = new BitwiseOps(this);
tpu = new TpuOps(this);
- audio = new AudioOps(this);
+ bitwise = new BitwiseOps(this);
math = new MathOps(this);
+ audio = new AudioOps(this);
signal = new SignalOps(this);
- train = new TrainOps(this);
quantization = new QuantizationOps(this);
+ train = new TrainOps(this);
}
/**
@@ -637,11 +637,12 @@ public AssignSubVariableOp assignSubVariableOp(Operand resource
*
* @param resource handle to the resource in which to store the variable.
* @param value the value to set the new tensor to use.
+ * @param options carries optional attribute values
* @return a new instance of AssignVariableOp
*/
public AssignVariableOp assignVariableOp(Operand resource,
- Operand value) {
- return AssignVariableOp.create(scope, resource, value);
+ Operand value, AssignVariableOp.Options... options) {
+ return AssignVariableOp.create(scope, resource, value, options);
}
/**
@@ -2066,7 +2067,10 @@ public CountUpTo countUpTo(Operand ref, Long limit) {
/**
* The op extracts fields from a serialized protocol buffers message into tensors.
- * The {@code decode_proto} op extracts fields from a serialized protocol buffers
+ * Note: This API is designed for orthogonality rather than human-friendliness. It
+ * can be used to parse input protos by hand, but it is intended for use in
+ * generated code.
+ * The {@code decode_proto} op extracts fields from a serialized protocol buffers
* message into tensors. The fields in {@code field_names} are decoded and converted
* to the corresponding {@code output_types} if possible.
*
A {@code message_type} name must be provided to give context for the field names.
@@ -2096,6 +2100,16 @@ public CountUpTo countUpTo(Operand ref, Long limit) {
* {@code DT_INT64}, or using twos-complement if the caller specifies {@code DT_INT32} in
* the {@code output_types} attribute.
*
+ *
+ * {@code map} fields are not directly decoded. They are treated as {@code repeated} fields,
+ * of the appropriate entry type. The proto-compiler defines entry types for each
+ * map field. The type-name is the field name, converted to "CamelCase" with
+ * "Entry" appended. The {@code tf.train.Features.FeatureEntry} message is an example of
+ * one of these implicit {@code Entry} types.
+ *
+ *
+ * {@code enum} fields should be read as int32.
+ *
*
* Both binary and text proto serializations are supported, and can be
* chosen using the {@code format} attribute.
@@ -7238,7 +7252,21 @@ public TensorScatterNdAdd tensorScatterNdAdd(Operand ten
}
/**
- * The TensorScatterMax operation
+ * Apply a sparse update to a tensor taking the element-wise maximum.
+ * Returns a new tensor copied from {@code tensor} whose values are element-wise maximum between
+ * tensor and updates according to the indices.
+ *
+ *
+ *
+ * tensor = [0, 0, 0, 0, 0, 0, 0, 0]
+ * indices = [[1], [4], [5]]
+ * updates = [1, -1, 1]
+ * tf.tensor_scatter_nd_max(tensor, indices, updates).numpy()
+ * array([0, 1, 0, 0, 0, 1, 0, 0], dtype=int32)
+ *
+ *
+ *
+ * Refer to {@code tf.tensor_scatter_nd_update} for more details.
*
* @param data type for {@code output} output
* @param tensor Tensor to update.
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/XlaOps.java b/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/XlaOps.java
index fb1c5e66b71..cdd9ee0ac44 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/XlaOps.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/XlaOps.java
@@ -86,12 +86,17 @@ public final class XlaOps {
* @param input Array or a non-empty tuple of arrays to reduce across replicas.
* @param groupAssignment Groups between which the reductions are performed.
* @param reduceOp Reduction computation.
+ * @param mode group mode.
+ * CrossReplica: group_assignment contains replica_id. Each group contains the
+ * replicas for the current partition.
+ * CrossReplicaAndPartition: group_assignment contains replica_id. Each group
+ * contains the replicas for all partitions.
* @param data type for {@code XlaAllReduce} output and operands
* @return a new instance of AllReduce
*/
public AllReduce allReduce(Operand input,
- Operand groupAssignment, String reduceOp) {
- return AllReduce.create(scope, input, groupAssignment, reduceOp);
+ Operand groupAssignment, String reduceOp, String mode) {
+ return AllReduce.create(scope, input, groupAssignment, reduceOp, mode);
}
/**
@@ -130,16 +135,17 @@ public ClusterOutput clusterOutput(Operand input) {
* .
*
* @param data type for {@code output} output
- * @param lhs the input tensor
- * @param rhs the kernel tensor
- * @param windowStrides the inter-window strides
- * @param padding the padding to apply at the start and end of each input dimensions
+ * @param lhs input tensor
+ * @param rhs kernel tensor
+ * @param windowStrides inter-window strides
+ * @param padding padding to apply at the start and end of each input dimensions
* @param lhsDilation dilation to apply between input elements
* @param rhsDilation dilation to apply between kernel elements
* @param featureGroupCount number of feature groups for grouped convolution.
- * @param dimensionNumbers a serialized xla::ConvolutionDimensionNumbers proto.
- * @param precisionConfig a serialized xla::PrecisionConfig proto.
- * @param preferredElementType The type of the tensor.
+ * @param dimensionNumbers serialized xla::ConvolutionDimensionNumbers proto.
+ * @param precisionConfig serialized xla::PrecisionConfig proto.
+ * @param preferredElementType type of the tensor.
+ * @param options carries optional attribute values
* @param data type for {@code XlaConvV2} output and operands
* @param data type for {@code XlaConvV2} output and operands
* @return a new instance of Conv
@@ -147,8 +153,9 @@ public ClusterOutput clusterOutput(Operand input) {
public Conv conv(Operand lhs,
Operand rhs, Operand windowStrides, Operand padding,
Operand lhsDilation, Operand rhsDilation, Operand featureGroupCount,
- String dimensionNumbers, String precisionConfig, Class preferredElementType) {
- return Conv.create(scope, lhs, rhs, windowStrides, padding, lhsDilation, rhsDilation, featureGroupCount, dimensionNumbers, precisionConfig, preferredElementType);
+ String dimensionNumbers, String precisionConfig, Class preferredElementType,
+ Conv.Options... options) {
+ return Conv.create(scope, lhs, rhs, windowStrides, padding, lhsDilation, rhsDilation, featureGroupCount, dimensionNumbers, precisionConfig, preferredElementType, options);
}
/**
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Compute_func_Pointer_TF_OpKernelContext.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Compute_func_Pointer_TF_OpKernelContext.java
index 0bb944eed82..9bd5bc022b8 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Compute_func_Pointer_TF_OpKernelContext.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Compute_func_Pointer_TF_OpKernelContext.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Create_func_TF_OpKernelConstruction.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Create_func_TF_OpKernelConstruction.java
index 01c6b8b9cd8..f06b2a1814c 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Create_func_TF_OpKernelConstruction.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Create_func_TF_OpKernelConstruction.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Deallocator_Pointer_long_Pointer.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Deallocator_Pointer_long_Pointer.java
index 245b3e2018a..c3759e7b4b4 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Deallocator_Pointer_long_Pointer.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Deallocator_Pointer_long_Pointer.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Delete_func_Pointer.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Delete_func_Pointer.java
index 2e3b079ae0a..78502fe2469 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Delete_func_Pointer.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Delete_func_Pointer.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/GradFunc.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/GradFunc.java
index df5ceb98746..6235d14f0d2 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/GradFunc.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/GradFunc.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/GradOpRegistry.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/GradOpRegistry.java
index 7a1d69bafbd..f170c382b0f 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/GradOpRegistry.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/GradOpRegistry.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Listener_BytePointer.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Listener_BytePointer.java
index b01b2c229ea..11d41db1b5d 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Listener_BytePointer.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Listener_BytePointer.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Listener_String.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Listener_String.java
index 2ea782928ac..07d245d0b5c 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Listener_String.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Listener_String.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NameMap.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NameMap.java
index 0be7fab2798..5657520e96f 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NameMap.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NameMap.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeGraphPointer.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeGraphPointer.java
index b947a4b322f..eb94a898ee0 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeGraphPointer.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeGraphPointer.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOperation.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOperation.java
index af771a0aa12..9883b1acbde 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOperation.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOperation.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOutput.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOutput.java
index cd3020eef5d..c513954ce41 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOutput.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOutput.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOutputVector.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOutputVector.java
index 9dc9dd5b971..d9d8f654e0b 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOutputVector.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeOutputVector.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeStatus.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeStatus.java
index 193d3f86312..9307a1114a6 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeStatus.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NativeStatus.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Node.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Node.java
index 0bb4543d41c..19fbbdf86b4 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Node.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Node.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
@@ -153,4 +153,11 @@ public class Node extends Pointer {
// Called after an attr has changed. Decides whether we need to update some
// property of the node (stored in props_).
public native void UpdateProperties();
+
+ // Erases type information from the node.
+ public native void ClearTypeInfo();
+
+ // Called after an incident non-control edge has changed. Does nothing if not
+ // all input edges are defined.
+ public native void RunForwardTypeInference();
}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NodeBuilder.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NodeBuilder.java
index 5922ff38b0a..9aea3e1c83d 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NodeBuilder.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/NodeBuilder.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Shape_inference_func_TF_ShapeInferenceContext_TF_Status.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Shape_inference_func_TF_ShapeInferenceContext_TF_Status.java
index b2168d8a48c..dd0e832881a 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Shape_inference_func_TF_ShapeInferenceContext_TF_Status.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Shape_inference_func_TF_ShapeInferenceContext_TF_Status.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_Context.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_Context.java
index f3309ed7530..548d576b560 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_Context.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_Context.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_ContextOptions.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_ContextOptions.java
index 93223d33e0c..fb64dbcb942 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_ContextOptions.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_ContextOptions.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_Op.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_Op.java
index 9c68d0d9920..31d2f11ad90 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_Op.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_Op.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_OpAttrs.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_OpAttrs.java
index 30398899f83..fafd4fb4da6 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_OpAttrs.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_OpAttrs.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_TensorDebugInfo.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_TensorDebugInfo.java
index fcdf2858a91..81da1e06f55 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_TensorDebugInfo.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_TensorDebugInfo.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_TensorHandle.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_TensorHandle.java
index 7fa3f7ec6cb..c0dfdde664e 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_TensorHandle.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TFE_TensorHandle.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
@@ -13,7 +13,7 @@
//
// Like a TF_Tensor, a TFE_TensorHandle refers to a tensor with a value, shape,
// type etc. Unlike a TF_Tensor, a TFE_TensorHandle may refer to such tensors
-// placed in memory of different devices or remote address spaces.
+// placed in the memory of different devices or remote address spaces.
@Opaque @Properties(inherit = org.tensorflow.internal.c_api.presets.tensorflow.class)
public class TFE_TensorHandle extends org.tensorflow.internal.c_api.AbstractTFE_TensorHandle {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_AllocatorAttributes.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_AllocatorAttributes.java
index 4f622e33714..357b2f9de65 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_AllocatorAttributes.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_AllocatorAttributes.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ApiDefMap.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ApiDefMap.java
index 8da3d79e7f7..ef08c2003d5 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ApiDefMap.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ApiDefMap.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_AttrMetadata.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_AttrMetadata.java
index 0b83058a276..c6945d8906d 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_AttrMetadata.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_AttrMetadata.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Buffer.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Buffer.java
index a8653a2049f..e3c0b9b5625 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Buffer.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Buffer.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DeprecatedSession.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DeprecatedSession.java
index c2923086177..859803d0e5a 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DeprecatedSession.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DeprecatedSession.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DeviceList.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DeviceList.java
index bc86ab8a823..de72b3c9503 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DeviceList.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DeviceList.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DimensionHandle.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DimensionHandle.java
index e4bb017db8c..6743400fd7c 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DimensionHandle.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_DimensionHandle.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Function.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Function.java
index 29d075cafc1..390a8bc77fb 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Function.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Function.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_FunctionOptions.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_FunctionOptions.java
index fc12f275678..ff6cd4ad17c 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_FunctionOptions.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_FunctionOptions.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Graph.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Graph.java
index c4d88baf176..b6c60720b51 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Graph.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Graph.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ImportGraphDefOptions.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ImportGraphDefOptions.java
index 69ccb1f83ff..4c4ab67c75c 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ImportGraphDefOptions.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ImportGraphDefOptions.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ImportGraphDefResults.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ImportGraphDefResults.java
index 269a1b07f17..19eb011cc91 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ImportGraphDefResults.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ImportGraphDefResults.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Input.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Input.java
index 9e73e8dbf78..76622aeda6f 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Input.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Input.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_KernelBuilder.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_KernelBuilder.java
index e36b7b206bf..cb9b79815c3 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_KernelBuilder.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_KernelBuilder.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Library.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Library.java
index 6be7fcbec8d..d869e510d84 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Library.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Library.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpDefinitionBuilder.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpDefinitionBuilder.java
index 9949307e8e9..5b5aa507e04 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpDefinitionBuilder.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpDefinitionBuilder.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpKernelConstruction.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpKernelConstruction.java
index 0ee6afaae99..3c4bbd5ff8f 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpKernelConstruction.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpKernelConstruction.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpKernelContext.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpKernelContext.java
index 24c0373404d..a62de209c65 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpKernelContext.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OpKernelContext.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Operation.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Operation.java
index 96e5ef47b38..17b40eb0b9c 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Operation.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Operation.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OperationDescription.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OperationDescription.java
index 71738f4ac02..6531a3a5f82 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OperationDescription.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_OperationDescription.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Output.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Output.java
index bd36144620d..0498c9572fd 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Output.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Output.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Scope.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Scope.java
index bea7ec98a25..77a594c3848 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Scope.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Scope.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Server.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Server.java
index aceb639f7af..c4abf9cd874 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Server.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Server.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Session.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Session.java
index a034dd7f647..1fbe6a0c56b 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Session.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Session.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_SessionOptions.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_SessionOptions.java
index 749655f6209..009dda458b6 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_SessionOptions.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_SessionOptions.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ShapeHandle.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ShapeHandle.java
index 2721dcac4b6..5e1386a1e0d 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ShapeHandle.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ShapeHandle.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ShapeInferenceContext.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ShapeInferenceContext.java
index 15f0b1dc8b7..627bca2fd93 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ShapeInferenceContext.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_ShapeInferenceContext.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Status.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Status.java
index 7a70dc56e95..684335ca83b 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Status.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Status.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_StringView.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_StringView.java
index 85ac4ee877f..9d3768b8264 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_StringView.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_StringView.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString.java
index 7b4c3ad59a4..3f4d1531e26 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Large.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Large.java
index e9031c07e18..1e1beba05f4 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Large.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Large.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Offset.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Offset.java
index 19f06db9224..016b058e2ff 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Offset.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Offset.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Raw.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Raw.java
index c9dca734aa0..e67cb474c79 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Raw.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Raw.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Small.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Small.java
index 8efeeb5176d..1be7d9f6851 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Small.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Small.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Union.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Union.java
index d7ba9e1baa4..643add57748 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Union.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_Union.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_View.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_View.java
index b6c3278403d..c5a8cc47398 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_View.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_TString_View.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Tensor.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Tensor.java
index 9966d1cbfe3..6e462cb1d9c 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Tensor.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_Tensor.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_WhileParams.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_WhileParams.java
index 1777d9a4d35..80dfce4c69d 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_WhileParams.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/TF_WhileParams.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Tensor.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Tensor.java
index 3a4952d5b63..f1efc2b1d4d 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Tensor.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/Tensor.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/global/tensorflow.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/global/tensorflow.java
index 0e153289dff..06a5b588d0f 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/global/tensorflow.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/internal/c_api/global/tensorflow.java
@@ -1,4 +1,4 @@
-// Targeted by JavaCPP version 1.5.6: DO NOT EDIT THIS FILE
+// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE
package org.tensorflow.internal.c_api.global;
@@ -3509,6 +3509,23 @@ public static native void TF_OpKernelConstruction_GetAttrString(
TF_OpKernelConstruction ctx, String attr_name, @Cast("char*") byte[] val,
@Cast("size_t") long max_length, TF_Status status);
+// Interprets the named kernel construction attribute as tensor and places it
+// into *val. Allocates a new TF_Tensor which the caller is expected to take
+// ownership of (and can deallocate using TF_DeleteTensor). *status is set to
+// TF_OK.
+//
+// If the attribute could not be found or could not be interpreted as
+// tensor, *status is populated with an error.
+public static native void TF_OpKernelConstruction_GetAttrTensor(
+ TF_OpKernelConstruction ctx, @Cast("const char*") BytePointer attr_name, @Cast("TF_Tensor**") PointerPointer val,
+ TF_Status status);
+public static native void TF_OpKernelConstruction_GetAttrTensor(
+ TF_OpKernelConstruction ctx, @Cast("const char*") BytePointer attr_name, @ByPtrPtr TF_Tensor val,
+ TF_Status status);
+public static native void TF_OpKernelConstruction_GetAttrTensor(
+ TF_OpKernelConstruction ctx, String attr_name, @ByPtrPtr TF_Tensor val,
+ TF_Status status);
+
// Interprets the named kernel construction attribute as a TF_DataType array and
// places it into *vals. *status is set to TF_OK.
// `vals` must point to an array of length at least `max_values` (ideally set
@@ -3671,6 +3688,24 @@ public static native void TF_OpKernelConstruction_GetAttrStringList(
@Cast("size_t*") SizeTPointer lengths, int max_values, Pointer storage, @Cast("size_t") long storage_size,
TF_Status status);
+// Interprets the named kernel construction attribute as tensor array and places
+// it into *vals. *status is set to TF_OK.
+// `vals` must point to an array of length at least `max_values`
+// (ideally set to list_size from TF_OpKernelConstruction_GetAttrSize(ctx,
+// attr_name, list_size, total_size)).
+//
+// The caller takes ownership of all the non-null TF_Tensor* entries in `vals`
+// (which can be deleted using TF_DeleteTensor(vals[i])).
+public static native void TF_OpKernelConstruction_GetAttrTensorList(
+ TF_OpKernelConstruction ctx, @Cast("const char*") BytePointer attr_name, @Cast("TF_Tensor**") PointerPointer vals,
+ int max_values, TF_Status status);
+public static native void TF_OpKernelConstruction_GetAttrTensorList(
+ TF_OpKernelConstruction ctx, @Cast("const char*") BytePointer attr_name, @ByPtrPtr TF_Tensor vals,
+ int max_values, TF_Status status);
+public static native void TF_OpKernelConstruction_GetAttrTensorList(
+ TF_OpKernelConstruction ctx, String attr_name, @ByPtrPtr TF_Tensor vals,
+ int max_values, TF_Status status);
+
// Return true if the kernel construction has the attr_name
public static native @Cast("bool") boolean TF_OpKernelConstruction_HasAttr(
TF_OpKernelConstruction ctx, @Cast("const char*") BytePointer attr_name, TF_Status status);
@@ -4286,7 +4321,7 @@ public static native void TFE_ContextSetThreadLocalDevicePlacementPolicy(
public static native @Cast("TFE_ContextDevicePlacementPolicy") int TFE_ContextGetDevicePlacementPolicy(TFE_Context ctx);
// A tensorflow.ServerDef specifies remote workers (in addition to the current
-// workers name). Operations created on this context can then be executed on
+// workers name). Operations created in this context can then be executed on
// any of these remote workers by setting an appropriate device.
//
// If the following is set, all servers identified by the
@@ -4816,7 +4851,7 @@ public static native void TFE_ContextExportRunMetadata(TFE_Context ctx,
// Ends a step. When there is no active step (that is, every started step has
// been ended) step containers will be cleared. Note: it is not safe to call
-// TFE_ContextEndStep while ops which rely on the step container may be running.
+// TFE_ContextEndStep while ops that rely on the step container may be running.
public static native void TFE_ContextEndStep(TFE_Context ctx);
// #ifdef __cplusplus
@@ -5042,6 +5077,8 @@ public static native void TFE_OpSetAttrValueProto(@Const TFE_Op op,
@Namespace("tensorflow") public static native @StdString BytePointer TfCheckOpHelperOutOfLine(
@Const @ByRef NativeStatus v, String msg);
+@Namespace("tensorflow") public static native @StdString BytePointer error_name(@Cast("tensorflow::error::Code") int code);
+
@Namespace("tensorflow") public static native @StdString BytePointer TfCheckOpHelper(@ByVal NativeStatus v,
@Cast("const char*") BytePointer msg);
@Namespace("tensorflow") public static native @StdString BytePointer TfCheckOpHelper(@ByVal NativeStatus v,
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AnonymousMutableDenseHashTable.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AnonymousMutableDenseHashTable.java
new file mode 100644
index 00000000000..2625d9e0395
--- /dev/null
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AnonymousMutableDenseHashTable.java
@@ -0,0 +1,259 @@
+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+=======================================================================*/
+
+// This class has been generated, DO NOT EDIT!
+
+package org.tensorflow.op.core;
+
+import java.util.Arrays;
+import org.tensorflow.GraphOperation;
+import org.tensorflow.Operand;
+import org.tensorflow.Operation;
+import org.tensorflow.OperationBuilder;
+import org.tensorflow.Output;
+import org.tensorflow.ndarray.Shape;
+import org.tensorflow.op.Operands;
+import org.tensorflow.op.RawOp;
+import org.tensorflow.op.RawOpInputs;
+import org.tensorflow.op.Scope;
+import org.tensorflow.op.annotation.Endpoint;
+import org.tensorflow.op.annotation.OpInputsMetadata;
+import org.tensorflow.op.annotation.OpMetadata;
+import org.tensorflow.proto.framework.DataType;
+import org.tensorflow.types.family.TType;
+
+/**
+ * Creates an empty anonymous mutable hash table that uses tensors as the backing store.
+ * This op creates a new anonymous mutable hash table (as a resource) everytime
+ * it is executed, with the specified dtype of its keys and values,
+ * returning the resource handle. Each value must be a scalar.
+ * Data can be inserted into the table using
+ * the insert operations. It does not support the initialization operation.
+ * It uses "open addressing" with quadratic reprobing to resolve
+ * collisions.
+ *
The table is anonymous in the sense that it can only be
+ * accessed by the returned resource handle (e.g. it cannot be looked up
+ * by a name in a resource manager). The table will be automatically
+ * deleted when all resource handles pointing to it are gone.
+ */
+@OpMetadata(
+ opType = AnonymousMutableDenseHashTable.OP_NAME,
+ inputsClass = AnonymousMutableDenseHashTable.Inputs.class
+)
+public final class AnonymousMutableDenseHashTable extends RawOp implements Operand {
+ /**
+ * The name of this op, as known by TensorFlow core engine
+ */
+ public static final String OP_NAME = "AnonymousMutableDenseHashTable";
+
+ private Output tableHandle;
+
+ @SuppressWarnings("unchecked")
+ public AnonymousMutableDenseHashTable(Operation operation) {
+ super(operation, OP_NAME);
+ int outputIdx = 0;
+ tableHandle = operation.output(outputIdx++);
+ }
+
+ /**
+ * Factory method to create a class wrapping a new AnonymousMutableDenseHashTable operation.
+ *
+ * @param scope current scope
+ * @param emptyKey The key used to represent empty key buckets internally. Must not
+ * be used in insert or lookup operations.
+ * @param deletedKey The deletedKey value
+ * @param valueDtype Type of the table values.
+ * @param options carries optional attribute values
+ * @param data type for {@code AnonymousMutableDenseHashTable} output and operands
+ * @param data type for {@code AnonymousMutableDenseHashTable} output and operands
+ * @return a new instance of AnonymousMutableDenseHashTable
+ */
+ @Endpoint(
+ describeByClass = true
+ )
+ public static AnonymousMutableDenseHashTable create(
+ Scope scope, Operand emptyKey, Operand deletedKey, Class valueDtype,
+ Options... options) {
+ OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "AnonymousMutableDenseHashTable");
+ opBuilder.addInput(emptyKey.asOutput());
+ opBuilder.addInput(deletedKey.asOutput());
+ opBuilder.setAttr("value_dtype", Operands.toDataType(valueDtype));
+ if (options != null) {
+ for (Options opts : options) {
+ if (opts.valueShape != null) {
+ opBuilder.setAttr("value_shape", opts.valueShape);
+ }
+ if (opts.initialNumBuckets != null) {
+ opBuilder.setAttr("initial_num_buckets", opts.initialNumBuckets);
+ }
+ if (opts.maxLoadFactor != null) {
+ opBuilder.setAttr("max_load_factor", opts.maxLoadFactor);
+ }
+ }
+ }
+ return new AnonymousMutableDenseHashTable(opBuilder.build());
+ }
+
+ /**
+ * Sets the valueShape option.
+ *
+ * @param valueShape The shape of each value.
+ * @return this Options instance.
+ */
+ public static Options valueShape(Shape valueShape) {
+ return new Options().valueShape(valueShape);
+ }
+
+ /**
+ * Sets the initialNumBuckets option.
+ *
+ * @param initialNumBuckets The initial number of hash table buckets. Must be a power
+ * to 2.
+ * @return this Options instance.
+ */
+ public static Options initialNumBuckets(Long initialNumBuckets) {
+ return new Options().initialNumBuckets(initialNumBuckets);
+ }
+
+ /**
+ * Sets the maxLoadFactor option.
+ *
+ * @param maxLoadFactor The maximum ratio between number of entries and number of
+ * buckets before growing the table. Must be between 0 and 1.
+ * @return this Options instance.
+ */
+ public static Options maxLoadFactor(Float maxLoadFactor) {
+ return new Options().maxLoadFactor(maxLoadFactor);
+ }
+
+ /**
+ * Gets tableHandle.
+ * The resource handle to the newly created hash-table resource.
+ * @return tableHandle.
+ */
+ public Output tableHandle() {
+ return tableHandle;
+ }
+
+ @Override
+ @SuppressWarnings("unchecked")
+ public Output asOutput() {
+ return (Output) tableHandle;
+ }
+
+ /**
+ * Optional attributes for {@link org.tensorflow.op.core.AnonymousMutableDenseHashTable}
+ */
+ public static class Options {
+ private Shape valueShape;
+
+ private Long initialNumBuckets;
+
+ private Float maxLoadFactor;
+
+ private Options() {
+ }
+
+ /**
+ * Sets the valueShape option.
+ *
+ * @param valueShape The shape of each value.
+ * @return this Options instance.
+ */
+ public Options valueShape(Shape valueShape) {
+ this.valueShape = valueShape;
+ return this;
+ }
+
+ /**
+ * Sets the initialNumBuckets option.
+ *
+ * @param initialNumBuckets The initial number of hash table buckets. Must be a power
+ * to 2.
+ * @return this Options instance.
+ */
+ public Options initialNumBuckets(Long initialNumBuckets) {
+ this.initialNumBuckets = initialNumBuckets;
+ return this;
+ }
+
+ /**
+ * Sets the maxLoadFactor option.
+ *
+ * @param maxLoadFactor The maximum ratio between number of entries and number of
+ * buckets before growing the table. Must be between 0 and 1.
+ * @return this Options instance.
+ */
+ public Options maxLoadFactor(Float maxLoadFactor) {
+ this.maxLoadFactor = maxLoadFactor;
+ return this;
+ }
+ }
+
+ @OpInputsMetadata(
+ outputsClass = AnonymousMutableDenseHashTable.class
+ )
+ public static class Inputs extends RawOpInputs {
+ /**
+ * The key used to represent empty key buckets internally. Must not
+ * be used in insert or lookup operations.
+ */
+ public final Operand emptyKey;
+
+ /**
+ * The deletedKey input
+ */
+ public final Operand deletedKey;
+
+ /**
+ * Type of the table keys.
+ */
+ public final DataType keyDtype;
+
+ /**
+ * Type of the table values.
+ */
+ public final DataType valueDtype;
+
+ /**
+ * The shape of each value.
+ */
+ public final Shape valueShape;
+
+ /**
+ * The initial number of hash table buckets. Must be a power
+ * to 2.
+ */
+ public final long initialNumBuckets;
+
+ /**
+ * The maximum ratio between number of entries and number of
+ * buckets before growing the table. Must be between 0 and 1.
+ */
+ public final float maxLoadFactor;
+
+ public Inputs(GraphOperation op) {
+ super(new AnonymousMutableDenseHashTable(op), op, Arrays.asList("key_dtype", "value_dtype", "value_shape", "initial_num_buckets", "max_load_factor"));
+ int inputIndex = 0;
+ emptyKey = (Operand) op.input(inputIndex++);
+ deletedKey = (Operand) op.input(inputIndex++);
+ keyDtype = op.attributes().getAttrType("key_dtype");
+ valueDtype = op.attributes().getAttrType("value_dtype");
+ valueShape = op.attributes().getAttrShape("value_shape");
+ initialNumBuckets = op.attributes().getAttrInt("initial_num_buckets");
+ maxLoadFactor = op.attributes().getAttrFloat("max_load_factor");
+ }
+ }
+}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AnonymousMutableHashTable.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AnonymousMutableHashTable.java
new file mode 100644
index 00000000000..6d9688fcbea
--- /dev/null
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AnonymousMutableHashTable.java
@@ -0,0 +1,124 @@
+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+=======================================================================*/
+
+// This class has been generated, DO NOT EDIT!
+
+package org.tensorflow.op.core;
+
+import java.util.Arrays;
+import org.tensorflow.GraphOperation;
+import org.tensorflow.Operand;
+import org.tensorflow.Operation;
+import org.tensorflow.OperationBuilder;
+import org.tensorflow.Output;
+import org.tensorflow.op.Operands;
+import org.tensorflow.op.RawOp;
+import org.tensorflow.op.RawOpInputs;
+import org.tensorflow.op.Scope;
+import org.tensorflow.op.annotation.Endpoint;
+import org.tensorflow.op.annotation.OpInputsMetadata;
+import org.tensorflow.op.annotation.OpMetadata;
+import org.tensorflow.proto.framework.DataType;
+import org.tensorflow.types.family.TType;
+
+/**
+ * Creates an empty anonymous mutable hash table.
+ * This op creates a new anonymous mutable hash table (as a resource) everytime
+ * it is executed, with the specified dtype of its keys and values,
+ * returning the resource handle. Each value must be a scalar.
+ * Data can be inserted into the table using
+ * the insert operations. It does not support the initialization operation.
+ * The table is anonymous in the sense that it can only be
+ * accessed by the returned resource handle (e.g. it cannot be looked up
+ * by a name in a resource manager). The table will be automatically
+ * deleted when all resource handles pointing to it are gone.
+ */
+@OpMetadata(
+ opType = AnonymousMutableHashTable.OP_NAME,
+ inputsClass = AnonymousMutableHashTable.Inputs.class
+)
+public final class AnonymousMutableHashTable extends RawOp implements Operand {
+ /**
+ * The name of this op, as known by TensorFlow core engine
+ */
+ public static final String OP_NAME = "AnonymousMutableHashTable";
+
+ private Output tableHandle;
+
+ @SuppressWarnings("unchecked")
+ public AnonymousMutableHashTable(Operation operation) {
+ super(operation, OP_NAME);
+ int outputIdx = 0;
+ tableHandle = operation.output(outputIdx++);
+ }
+
+ /**
+ * Factory method to create a class wrapping a new AnonymousMutableHashTable operation.
+ *
+ * @param scope current scope
+ * @param keyDtype Type of the table keys.
+ * @param valueDtype Type of the table values.
+ * @param data type for {@code AnonymousMutableHashTable} output and operands
+ * @param data type for {@code AnonymousMutableHashTable} output and operands
+ * @return a new instance of AnonymousMutableHashTable
+ */
+ @Endpoint(
+ describeByClass = true
+ )
+ public static AnonymousMutableHashTable create(Scope scope,
+ Class keyDtype, Class valueDtype) {
+ OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "AnonymousMutableHashTable");
+ opBuilder.setAttr("key_dtype", Operands.toDataType(keyDtype));
+ opBuilder.setAttr("value_dtype", Operands.toDataType(valueDtype));
+ return new AnonymousMutableHashTable(opBuilder.build());
+ }
+
+ /**
+ * Gets tableHandle.
+ * The resource handle to the newly created hash-table resource.
+ * @return tableHandle.
+ */
+ public Output tableHandle() {
+ return tableHandle;
+ }
+
+ @Override
+ @SuppressWarnings("unchecked")
+ public Output asOutput() {
+ return (Output) tableHandle;
+ }
+
+ @OpInputsMetadata(
+ outputsClass = AnonymousMutableHashTable.class
+ )
+ public static class Inputs extends RawOpInputs {
+ /**
+ * Type of the table keys.
+ */
+ public final DataType keyDtype;
+
+ /**
+ * Type of the table values.
+ */
+ public final DataType valueDtype;
+
+ public Inputs(GraphOperation op) {
+ super(new AnonymousMutableHashTable(op), op, Arrays.asList("key_dtype", "value_dtype"));
+ int inputIndex = 0;
+ keyDtype = op.attributes().getAttrType("key_dtype");
+ valueDtype = op.attributes().getAttrType("value_dtype");
+ }
+ }
+}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AnonymousMutableHashTableOfTensors.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AnonymousMutableHashTableOfTensors.java
new file mode 100644
index 00000000000..f2ae78fbcc1
--- /dev/null
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AnonymousMutableHashTableOfTensors.java
@@ -0,0 +1,170 @@
+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+=======================================================================*/
+
+// This class has been generated, DO NOT EDIT!
+
+package org.tensorflow.op.core;
+
+import java.util.Arrays;
+import org.tensorflow.GraphOperation;
+import org.tensorflow.Operand;
+import org.tensorflow.Operation;
+import org.tensorflow.OperationBuilder;
+import org.tensorflow.Output;
+import org.tensorflow.ndarray.Shape;
+import org.tensorflow.op.Operands;
+import org.tensorflow.op.RawOp;
+import org.tensorflow.op.RawOpInputs;
+import org.tensorflow.op.Scope;
+import org.tensorflow.op.annotation.Endpoint;
+import org.tensorflow.op.annotation.OpInputsMetadata;
+import org.tensorflow.op.annotation.OpMetadata;
+import org.tensorflow.proto.framework.DataType;
+import org.tensorflow.types.family.TType;
+
+/**
+ * Creates an empty anonymous mutable hash table of vector values.
+ * This op creates a new anonymous mutable hash table (as a resource) everytime
+ * it is executed, with the specified dtype of its keys and values,
+ * returning the resource handle. Each value must be a vector.
+ * Data can be inserted into the table using
+ * the insert operations. It does not support the initialization operation.
+ * The table is anonymous in the sense that it can only be
+ * accessed by the returned resource handle (e.g. it cannot be looked up
+ * by a name in a resource manager). The table will be automatically
+ * deleted when all resource handles pointing to it are gone.
+ */
+@OpMetadata(
+ opType = AnonymousMutableHashTableOfTensors.OP_NAME,
+ inputsClass = AnonymousMutableHashTableOfTensors.Inputs.class
+)
+public final class AnonymousMutableHashTableOfTensors extends RawOp implements Operand {
+ /**
+ * The name of this op, as known by TensorFlow core engine
+ */
+ public static final String OP_NAME = "AnonymousMutableHashTableOfTensors";
+
+ private Output tableHandle;
+
+ @SuppressWarnings("unchecked")
+ public AnonymousMutableHashTableOfTensors(Operation operation) {
+ super(operation, OP_NAME);
+ int outputIdx = 0;
+ tableHandle = operation.output(outputIdx++);
+ }
+
+ /**
+ * Factory method to create a class wrapping a new AnonymousMutableHashTableOfTensors operation.
+ *
+ * @param scope current scope
+ * @param keyDtype Type of the table keys.
+ * @param valueDtype Type of the table values.
+ * @param options carries optional attribute values
+ * @param data type for {@code AnonymousMutableHashTableOfTensors} output and operands
+ * @param data type for {@code AnonymousMutableHashTableOfTensors} output and operands
+ * @return a new instance of AnonymousMutableHashTableOfTensors
+ */
+ @Endpoint(
+ describeByClass = true
+ )
+ public static AnonymousMutableHashTableOfTensors create(
+ Scope scope, Class keyDtype, Class valueDtype, Options... options) {
+ OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "AnonymousMutableHashTableOfTensors");
+ opBuilder.setAttr("key_dtype", Operands.toDataType(keyDtype));
+ opBuilder.setAttr("value_dtype", Operands.toDataType(valueDtype));
+ if (options != null) {
+ for (Options opts : options) {
+ if (opts.valueShape != null) {
+ opBuilder.setAttr("value_shape", opts.valueShape);
+ }
+ }
+ }
+ return new AnonymousMutableHashTableOfTensors(opBuilder.build());
+ }
+
+ /**
+ * Sets the valueShape option.
+ *
+ * @param valueShape the valueShape option
+ * @return this Options instance.
+ */
+ public static Options valueShape(Shape valueShape) {
+ return new Options().valueShape(valueShape);
+ }
+
+ /**
+ * Gets tableHandle.
+ * The resource handle to the newly created hash-table resource.
+ * @return tableHandle.
+ */
+ public Output tableHandle() {
+ return tableHandle;
+ }
+
+ @Override
+ @SuppressWarnings("unchecked")
+ public Output asOutput() {
+ return (Output) tableHandle;
+ }
+
+ /**
+ * Optional attributes for {@link org.tensorflow.op.core.AnonymousMutableHashTableOfTensors}
+ */
+ public static class Options {
+ private Shape valueShape;
+
+ private Options() {
+ }
+
+ /**
+ * Sets the valueShape option.
+ *
+ * @param valueShape the valueShape option
+ * @return this Options instance.
+ */
+ public Options valueShape(Shape valueShape) {
+ this.valueShape = valueShape;
+ return this;
+ }
+ }
+
+ @OpInputsMetadata(
+ outputsClass = AnonymousMutableHashTableOfTensors.class
+ )
+ public static class Inputs extends RawOpInputs {
+ /**
+ * Type of the table keys.
+ */
+ public final DataType keyDtype;
+
+ /**
+ * Type of the table values.
+ */
+ public final DataType valueDtype;
+
+ /**
+ * The valueShape attribute
+ */
+ public final Shape valueShape;
+
+ public Inputs(GraphOperation op) {
+ super(new AnonymousMutableHashTableOfTensors(op), op, Arrays.asList("key_dtype", "value_dtype", "value_shape"));
+ int inputIndex = 0;
+ keyDtype = op.attributes().getAttrType("key_dtype");
+ valueDtype = op.attributes().getAttrType("value_dtype");
+ valueShape = op.attributes().getAttrShape("value_shape");
+ }
+ }
+}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AssignVariableOp.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AssignVariableOp.java
index 8a158a0f014..f37034355af 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AssignVariableOp.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/AssignVariableOp.java
@@ -58,19 +58,58 @@ public AssignVariableOp(Operation operation) {
* @param scope current scope
* @param resource handle to the resource in which to store the variable.
* @param value the value to set the new tensor to use.
+ * @param options carries optional attribute values
* @return a new instance of AssignVariableOp
*/
@Endpoint(
describeByClass = true
)
public static AssignVariableOp create(Scope scope, Operand resource,
- Operand value) {
+ Operand value, Options... options) {
OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "AssignVariableOp");
opBuilder.addInput(resource.asOutput());
opBuilder.addInput(value.asOutput());
+ if (options != null) {
+ for (Options opts : options) {
+ if (opts.validateShape != null) {
+ opBuilder.setAttr("validate_shape", opts.validateShape);
+ }
+ }
+ }
return new AssignVariableOp(opBuilder.build());
}
+ /**
+ * Sets the validateShape option.
+ *
+ * @param validateShape the validateShape option
+ * @return this Options instance.
+ */
+ public static Options validateShape(Boolean validateShape) {
+ return new Options().validateShape(validateShape);
+ }
+
+ /**
+ * Optional attributes for {@link org.tensorflow.op.core.AssignVariableOp}
+ */
+ public static class Options {
+ private Boolean validateShape;
+
+ private Options() {
+ }
+
+ /**
+ * Sets the validateShape option.
+ *
+ * @param validateShape the validateShape option
+ * @return this Options instance.
+ */
+ public Options validateShape(Boolean validateShape) {
+ this.validateShape = validateShape;
+ return this;
+ }
+ }
+
@OpInputsMetadata(
outputsClass = AssignVariableOp.class
)
@@ -90,12 +129,18 @@ public static class Inputs extends RawOpInputs {
*/
public final DataType dtype;
+ /**
+ * The validateShape attribute
+ */
+ public final boolean validateShape;
+
public Inputs(GraphOperation op) {
- super(new AssignVariableOp(op), op, Arrays.asList("dtype"));
+ super(new AssignVariableOp(op), op, Arrays.asList("dtype", "validate_shape"));
int inputIndex = 0;
resource = (Operand) op.input(inputIndex++);
value = (Operand) op.input(inputIndex++);
dtype = op.attributes().getAttrType("dtype");
+ validateShape = op.attributes().getAttrBool("validate_shape");
}
}
}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/DecodeProto.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/DecodeProto.java
index 7c1818a97eb..a871c46e2a0 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/DecodeProto.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/DecodeProto.java
@@ -39,7 +39,10 @@
/**
* The op extracts fields from a serialized protocol buffers message into tensors.
- * The {@code decode_proto} op extracts fields from a serialized protocol buffers
+ * Note: This API is designed for orthogonality rather than human-friendliness. It
+ * can be used to parse input protos by hand, but it is intended for use in
+ * generated code.
+ * The {@code decode_proto} op extracts fields from a serialized protocol buffers
* message into tensors. The fields in {@code field_names} are decoded and converted
* to the corresponding {@code output_types} if possible.
*
A {@code message_type} name must be provided to give context for the field names.
@@ -69,6 +72,16 @@
* {@code DT_INT64}, or using twos-complement if the caller specifies {@code DT_INT32} in
* the {@code output_types} attribute.
*
+ *
+ * {@code map} fields are not directly decoded. They are treated as {@code repeated} fields,
+ * of the appropriate entry type. The proto-compiler defines entry types for each
+ * map field. The type-name is the field name, converted to "CamelCase" with
+ * "Entry" appended. The {@code tf.train.Features.FeatureEntry} message is an example of
+ * one of these implicit {@code Entry} types.
+ *
+ *
+ * {@code enum} fields should be read as int32.
+ *
*
* Both binary and text proto serializations are supported, and can be
* chosen using the {@code format} attribute.
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/FileSystemSetConfiguration.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/FileSystemSetConfiguration.java
new file mode 100644
index 00000000000..ee73c5ee071
--- /dev/null
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/FileSystemSetConfiguration.java
@@ -0,0 +1,98 @@
+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+=======================================================================*/
+
+// This class has been generated, DO NOT EDIT!
+
+package org.tensorflow.op.core;
+
+import java.util.Arrays;
+import org.tensorflow.GraphOperation;
+import org.tensorflow.Operand;
+import org.tensorflow.Operation;
+import org.tensorflow.OperationBuilder;
+import org.tensorflow.op.RawOp;
+import org.tensorflow.op.RawOpInputs;
+import org.tensorflow.op.Scope;
+import org.tensorflow.op.annotation.Endpoint;
+import org.tensorflow.op.annotation.OpInputsMetadata;
+import org.tensorflow.op.annotation.OpMetadata;
+import org.tensorflow.types.TString;
+
+/**
+ * Set configuration of the file system.
+ */
+@OpMetadata(
+ opType = FileSystemSetConfiguration.OP_NAME,
+ inputsClass = FileSystemSetConfiguration.Inputs.class
+)
+public final class FileSystemSetConfiguration extends RawOp {
+ /**
+ * The name of this op, as known by TensorFlow core engine
+ */
+ public static final String OP_NAME = "FileSystemSetConfiguration";
+
+ public FileSystemSetConfiguration(Operation operation) {
+ super(operation, OP_NAME);
+ }
+
+ /**
+ * Factory method to create a class wrapping a new FileSystemSetConfiguration operation.
+ *
+ * @param scope current scope
+ * @param scheme File system scheme.
+ * @param key The name of the configuration option.
+ * @param value The value of the configuration option.
+ * @return a new instance of FileSystemSetConfiguration
+ */
+ @Endpoint(
+ describeByClass = true
+ )
+ public static FileSystemSetConfiguration create(Scope scope, Operand scheme,
+ Operand key, Operand value) {
+ OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "FileSystemSetConfiguration");
+ opBuilder.addInput(scheme.asOutput());
+ opBuilder.addInput(key.asOutput());
+ opBuilder.addInput(value.asOutput());
+ return new FileSystemSetConfiguration(opBuilder.build());
+ }
+
+ @OpInputsMetadata(
+ outputsClass = FileSystemSetConfiguration.class
+ )
+ public static class Inputs extends RawOpInputs {
+ /**
+ * File system scheme.
+ */
+ public final Operand scheme;
+
+ /**
+ * The name of the configuration option.
+ */
+ public final Operand key;
+
+ /**
+ * The value of the configuration option.
+ */
+ public final Operand value;
+
+ public Inputs(GraphOperation op) {
+ super(new FileSystemSetConfiguration(op), op, Arrays.asList());
+ int inputIndex = 0;
+ scheme = (Operand) op.input(inputIndex++);
+ key = (Operand) op.input(inputIndex++);
+ value = (Operand) op.input(inputIndex++);
+ }
+ }
+}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/TensorScatterNdMax.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/TensorScatterNdMax.java
index 07de1b38c81..cd6f801f7a9 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/TensorScatterNdMax.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/core/TensorScatterNdMax.java
@@ -35,7 +35,21 @@
import org.tensorflow.types.family.TType;
/**
- * The TensorScatterMax operation
+ * Apply a sparse update to a tensor taking the element-wise maximum.
+ * Returns a new tensor copied from {@code tensor} whose values are element-wise maximum between
+ * tensor and updates according to the indices.
+ *
+ *
+ *
+ * tensor = [0, 0, 0, 0, 0, 0, 0, 0]
+ * indices = [[1], [4], [5]]
+ * updates = [1, -1, 1]
+ * tf.tensor_scatter_nd_max(tensor, indices, updates).numpy()
+ * array([0, 1, 0, 0, 0, 1, 0, 0], dtype=int32)
+ *
+ *
+ *
+ * Refer to {@code tf.tensor_scatter_nd_update} for more details.
*
* @param data type for {@code output} output
*/
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/AnonymousIterator.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/AnonymousIterator.java
index 5ecb7359a44..b5b5afeef67 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/AnonymousIterator.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/AnonymousIterator.java
@@ -20,6 +20,7 @@
import java.util.Arrays;
import java.util.List;
import org.tensorflow.GraphOperation;
+import org.tensorflow.Operand;
import org.tensorflow.Operation;
import org.tensorflow.OperationBuilder;
import org.tensorflow.Output;
@@ -45,26 +46,23 @@
@Operator(
group = "data"
)
-public final class AnonymousIterator extends RawOp {
+public final class AnonymousIterator extends RawOp implements Operand {
/**
* The name of this op, as known by TensorFlow core engine
*/
- public static final String OP_NAME = "AnonymousIteratorV2";
+ public static final String OP_NAME = "AnonymousIteratorV3";
private Output handle;
- private Output deleter;
-
@SuppressWarnings("unchecked")
public AnonymousIterator(Operation operation) {
super(operation, OP_NAME);
int outputIdx = 0;
handle = operation.output(outputIdx++);
- deleter = operation.output(outputIdx++);
}
/**
- * Factory method to create a class wrapping a new AnonymousIteratorV2 operation.
+ * Factory method to create a class wrapping a new AnonymousIteratorV3 operation.
*
* @param scope current scope
* @param outputTypes The value of the outputTypes attribute
@@ -98,13 +96,10 @@ public Output handle() {
return handle;
}
- /**
- * Gets deleter.
- * A variant deleter that should be passed into the op that deletes the iterator.
- * @return deleter.
- */
- public Output deleter() {
- return deleter;
+ @Override
+ @SuppressWarnings("unchecked")
+ public Output asOutput() {
+ return (Output) handle;
}
@OpInputsMetadata(
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/DataServiceDatasetV2.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/DataServiceDataset.java
similarity index 83%
rename from tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/DataServiceDatasetV2.java
rename to tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/DataServiceDataset.java
index 0574b406440..1b4392f97bb 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/DataServiceDatasetV2.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/DataServiceDataset.java
@@ -19,6 +19,7 @@
import java.util.Arrays;
import java.util.List;
+import org.tensorflow.ConcreteFunction;
import org.tensorflow.GraphOperation;
import org.tensorflow.Operand;
import org.tensorflow.Operation;
@@ -42,29 +43,29 @@
* Creates a dataset that reads data from the tf.data service.
*/
@OpMetadata(
- opType = DataServiceDatasetV2.OP_NAME,
- inputsClass = DataServiceDatasetV2.Inputs.class
+ opType = DataServiceDataset.OP_NAME,
+ inputsClass = DataServiceDataset.Inputs.class
)
@Operator(
group = "data"
)
-public final class DataServiceDatasetV2 extends RawOp implements Operand {
+public final class DataServiceDataset extends RawOp implements Operand {
/**
* The name of this op, as known by TensorFlow core engine
*/
- public static final String OP_NAME = "DataServiceDatasetV2";
+ public static final String OP_NAME = "DataServiceDatasetV3";
private Output handle;
@SuppressWarnings("unchecked")
- public DataServiceDatasetV2(Operation operation) {
+ public DataServiceDataset(Operation operation) {
super(operation, OP_NAME);
int outputIdx = 0;
handle = operation.output(outputIdx++);
}
/**
- * Factory method to create a class wrapping a new DataServiceDatasetV2 operation.
+ * Factory method to create a class wrapping a new DataServiceDatasetV3 operation.
*
* @param scope current scope
* @param datasetId The datasetId value
@@ -78,18 +79,20 @@ public DataServiceDatasetV2(Operation operation) {
* @param iterationCounter The iterationCounter value
* @param outputTypes The value of the outputTypes attribute
* @param outputShapes The value of the outputShapes attribute
+ * @param uncompressFn The value of the uncompressFn attribute
* @param options carries optional attribute values
- * @return a new instance of DataServiceDatasetV2
+ * @return a new instance of DataServiceDataset
*/
@Endpoint(
describeByClass = true
)
- public static DataServiceDatasetV2 create(Scope scope, Operand datasetId,
+ public static DataServiceDataset create(Scope scope, Operand datasetId,
Operand processingMode, Operand address, Operand protocol,
Operand jobName, Operand consumerIndex, Operand numConsumers,
Operand maxOutstandingRequests, Operand iterationCounter,
- List> outputTypes, List outputShapes, Options... options) {
- OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "DataServiceDatasetV2");
+ List> outputTypes, List outputShapes,
+ ConcreteFunction uncompressFn, Options... options) {
+ OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "DataServiceDataset");
opBuilder.addInput(datasetId.asOutput());
opBuilder.addInput(processingMode.asOutput());
opBuilder.addInput(address.asOutput());
@@ -105,6 +108,7 @@ public static DataServiceDatasetV2 create(Scope scope, Operand datasetId
outputShapesArray[i] = outputShapes.get(i);
}
opBuilder.setAttr("output_shapes", outputShapesArray);
+ opBuilder.setAttr("uncompress_fn", uncompressFn);
if (options != null) {
for (Options opts : options) {
if (opts.taskRefreshIntervalHintMs != null) {
@@ -116,9 +120,12 @@ public static DataServiceDatasetV2 create(Scope scope, Operand datasetId
if (opts.targetWorkers != null) {
opBuilder.setAttr("target_workers", opts.targetWorkers);
}
+ if (opts.uncompress != null) {
+ opBuilder.setAttr("uncompress", opts.uncompress);
+ }
}
}
- return new DataServiceDatasetV2(opBuilder.build());
+ return new DataServiceDataset(opBuilder.build());
}
/**
@@ -151,6 +158,16 @@ public static Options targetWorkers(String targetWorkers) {
return new Options().targetWorkers(targetWorkers);
}
+ /**
+ * Sets the uncompress option.
+ *
+ * @param uncompress the uncompress option
+ * @return this Options instance.
+ */
+ public static Options uncompress(Boolean uncompress) {
+ return new Options().uncompress(uncompress);
+ }
+
/**
* Gets handle.
*
@@ -167,7 +184,7 @@ public Output asOutput() {
}
/**
- * Optional attributes for {@link org.tensorflow.op.data.DataServiceDatasetV2}
+ * Optional attributes for {@link org.tensorflow.op.data.DataServiceDataset}
*/
public static class Options {
private Long taskRefreshIntervalHintMs;
@@ -176,6 +193,8 @@ public static class Options {
private String targetWorkers;
+ private Boolean uncompress;
+
private Options() {
}
@@ -211,12 +230,23 @@ public Options targetWorkers(String targetWorkers) {
this.targetWorkers = targetWorkers;
return this;
}
+
+ /**
+ * Sets the uncompress option.
+ *
+ * @param uncompress the uncompress option
+ * @return this Options instance.
+ */
+ public Options uncompress(Boolean uncompress) {
+ this.uncompress = uncompress;
+ return this;
+ }
}
@OpInputsMetadata(
- outputsClass = DataServiceDatasetV2.class
+ outputsClass = DataServiceDataset.class
)
- public static class Inputs extends RawOpInputs {
+ public static class Inputs extends RawOpInputs {
/**
* The datasetId input
*/
@@ -287,8 +317,13 @@ public static class Inputs extends RawOpInputs {
*/
public final String targetWorkers;
+ /**
+ * The uncompress attribute
+ */
+ public final boolean uncompress;
+
public Inputs(GraphOperation op) {
- super(new DataServiceDatasetV2(op), op, Arrays.asList("task_refresh_interval_hint_ms", "output_types", "output_shapes", "data_transfer_protocol", "target_workers"));
+ super(new DataServiceDataset(op), op, Arrays.asList("task_refresh_interval_hint_ms", "output_types", "output_shapes", "data_transfer_protocol", "target_workers", "uncompress"));
int inputIndex = 0;
datasetId = (Operand) op.input(inputIndex++);
processingMode = (Operand) op.input(inputIndex++);
@@ -304,6 +339,7 @@ public Inputs(GraphOperation op) {
outputShapes = op.attributes().getAttrShapeList("output_shapes");
dataTransferProtocol = op.attributes().getAttrString("data_transfer_protocol");
targetWorkers = op.attributes().getAttrString("target_workers");
+ uncompress = op.attributes().getAttrBool("uncompress");
}
}
}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/RegisterDataset.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/RegisterDataset.java
index 466a00ae942..896daf95539 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/RegisterDataset.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/RegisterDataset.java
@@ -85,6 +85,9 @@ public static RegisterDataset create(Scope scope, Operand datas
if (opts.elementSpec != null) {
opBuilder.setAttr("element_spec", opts.elementSpec);
}
+ if (opts.metadata != null) {
+ opBuilder.setAttr("metadata", opts.metadata);
+ }
}
}
return new RegisterDataset(opBuilder.build());
@@ -100,6 +103,16 @@ public static Options elementSpec(String elementSpec) {
return new Options().elementSpec(elementSpec);
}
+ /**
+ * Sets the metadata option.
+ *
+ * @param metadata the metadata option
+ * @return this Options instance.
+ */
+ public static Options metadata(String metadata) {
+ return new Options().metadata(metadata);
+ }
+
/**
* Gets datasetId.
*
@@ -120,6 +133,8 @@ public Output asOutput() {
public static class Options {
private String elementSpec;
+ private String metadata;
+
private Options() {
}
@@ -133,6 +148,17 @@ public Options elementSpec(String elementSpec) {
this.elementSpec = elementSpec;
return this;
}
+
+ /**
+ * Sets the metadata option.
+ *
+ * @param metadata the metadata option
+ * @return this Options instance.
+ */
+ public Options metadata(String metadata) {
+ this.metadata = metadata;
+ return this;
+ }
}
@OpInputsMetadata(
@@ -164,14 +190,20 @@ public static class Inputs extends RawOpInputs {
*/
public final String elementSpec;
+ /**
+ * The metadata attribute
+ */
+ public final String metadata;
+
public Inputs(GraphOperation op) {
- super(new RegisterDataset(op), op, Arrays.asList("external_state_policy", "element_spec"));
+ super(new RegisterDataset(op), op, Arrays.asList("external_state_policy", "element_spec", "metadata"));
int inputIndex = 0;
dataset = (Operand) op.input(inputIndex++);
address = (Operand) op.input(inputIndex++);
protocol = (Operand) op.input(inputIndex++);
externalStatePolicy = op.attributes().getAttrInt("external_state_policy");
elementSpec = op.attributes().getAttrString("element_spec");
+ metadata = op.attributes().getAttrString("metadata");
}
}
}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/SlidingWindowDataset.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/SlidingWindowDataset.java
index 673e100adc6..947bd11e669 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/SlidingWindowDataset.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/data/SlidingWindowDataset.java
@@ -75,6 +75,7 @@ public SlidingWindowDataset(Operation operation) {
* It must be positive.
* @param outputTypes The value of the outputTypes attribute
* @param outputShapes The value of the outputShapes attribute
+ * @param options carries optional attribute values
* @return a new instance of SlidingWindowDataset
*/
@Endpoint(
@@ -82,7 +83,7 @@ public SlidingWindowDataset(Operation operation) {
)
public static SlidingWindowDataset create(Scope scope, Operand inputDataset,
Operand windowSize, Operand windowShift, Operand windowStride,
- List> outputTypes, List outputShapes) {
+ List> outputTypes, List outputShapes, Options... options) {
OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "SlidingWindowDataset");
opBuilder.addInput(inputDataset.asOutput());
opBuilder.addInput(windowSize.asOutput());
@@ -94,9 +95,26 @@ public static SlidingWindowDataset create(Scope scope, Operand
outputShapesArray[i] = outputShapes.get(i);
}
opBuilder.setAttr("output_shapes", outputShapesArray);
+ if (options != null) {
+ for (Options opts : options) {
+ if (opts.dropRemainder != null) {
+ opBuilder.setAttr("drop_remainder", opts.dropRemainder);
+ }
+ }
+ }
return new SlidingWindowDataset(opBuilder.build());
}
+ /**
+ * Sets the dropRemainder option.
+ *
+ * @param dropRemainder the dropRemainder option
+ * @return this Options instance.
+ */
+ public static Options dropRemainder(Boolean dropRemainder) {
+ return new Options().dropRemainder(dropRemainder);
+ }
+
/**
* Gets handle.
*
@@ -112,6 +130,27 @@ public Output asOutput() {
return (Output) handle;
}
+ /**
+ * Optional attributes for {@link org.tensorflow.op.data.SlidingWindowDataset}
+ */
+ public static class Options {
+ private Boolean dropRemainder;
+
+ private Options() {
+ }
+
+ /**
+ * Sets the dropRemainder option.
+ *
+ * @param dropRemainder the dropRemainder option
+ * @return this Options instance.
+ */
+ public Options dropRemainder(Boolean dropRemainder) {
+ this.dropRemainder = dropRemainder;
+ return this;
+ }
+ }
+
@OpInputsMetadata(
outputsClass = SlidingWindowDataset.class
)
@@ -139,6 +178,11 @@ public static class Inputs extends RawOpInputs {
*/
public final Operand windowStride;
+ /**
+ * The dropRemainder attribute
+ */
+ public final boolean dropRemainder;
+
/**
* The outputTypes attribute
*/
@@ -150,12 +194,13 @@ public static class Inputs extends RawOpInputs {
public final Shape[] outputShapes;
public Inputs(GraphOperation op) {
- super(new SlidingWindowDataset(op), op, Arrays.asList("output_types", "output_shapes"));
+ super(new SlidingWindowDataset(op), op, Arrays.asList("drop_remainder", "output_types", "output_shapes"));
int inputIndex = 0;
inputDataset = (Operand) op.input(inputIndex++);
windowSize = (Operand) op.input(inputIndex++);
windowShift = (Operand) op.input(inputIndex++);
windowStride = (Operand) op.input(inputIndex++);
+ dropRemainder = op.attributes().getAttrBool("drop_remainder");
outputTypes = op.attributes().getAttrTypeList("output_types");
outputShapes = op.attributes().getAttrShapeList("output_shapes");
}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/DecodeBase64.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/DecodeBase64.java
index 473246f9290..f99f11dad2a 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/DecodeBase64.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/DecodeBase64.java
@@ -34,8 +34,9 @@
/**
* Decode web-safe base64-encoded strings.
- * Input may or may not have padding at the end. See EncodeBase64 for padding.
- * Web-safe means that input must use - and _ instead of + and /.
+ * Input may or may not have padding at the end. See
+ * EncodeBase64
+ * for padding. Web-safe means that input must use - and _ instead of + and /.
*/
@OpMetadata(
opType = DecodeBase64.OP_NAME,
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/EncodeBase64.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/EncodeBase64.java
index daddfee308a..fddd029f343 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/EncodeBase64.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/EncodeBase64.java
@@ -34,8 +34,8 @@
/**
* Encode strings into web-safe base64 format.
- * Refer to the following article for more information on base64 format:
- * en.wikipedia.org/wiki/Base64. Base64 strings may have padding with '=' at the
+ * Refer to this article for more information on
+ * base64 format. Base64 strings may have padding with '=' at the
* end so that the encoded has length multiple of 4. See Padding section of the
* link above.
* Web-safe means that the encoder uses - and _ instead of + and /.
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/WriteFile.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/WriteFile.java
index a2d86a01565..9bfb57ec11e 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/WriteFile.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/io/WriteFile.java
@@ -32,8 +32,8 @@
import org.tensorflow.types.TString;
/**
- * Writes contents to the file at input filename. Creates file and recursively
- * creates directory if not existing.
+ * Writes {@code contents} to the file at input {@code filename}.
+ * Creates the file and recursively creates directory if it does not exist.
*/
@OpMetadata(
opType = WriteFile.OP_NAME,
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/SegmentSum.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/SegmentSum.java
index bfdd2182153..ba3ca3f0af4 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/SegmentSum.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/SegmentSum.java
@@ -49,7 +49,7 @@
*
For example:
*
* c = tf.constant([[1,2,3,4], [4, 3, 2, 1], [5,6,7,8]])
- * tf.segment_sum(c, tf.constant([0, 0, 1]))
+ * tf.math.segment_sum(c, tf.constant([0, 0, 1]))
* # ==> [[5, 5, 5, 5],
* # [5, 6, 7, 8]]
*
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/Tanh.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/Tanh.java
index c9e2f43ca94..70b3b54957b 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/Tanh.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/Tanh.java
@@ -44,8 +44,8 @@
* x = tf.constant([-float("inf"), -5, -0.5, 1, 1.2, 2, 3, float("inf")])
* tf.math.tanh(x)
* <tf.Tensor: shape=(8,), dtype=float32, numpy=
- * array([-1. , -0.99990916, -0.46211717, 0.7615942 , 0.8336547 ,
- * 0.9640276 , 0.9950547 , 1. ], dtype=float32)>
+ * array([-1.0, -0.99990916, -0.46211717, 0.7615942 , 0.8336547 ,
+ * 0.9640276 , 0.9950547 , 1.0], dtype=float32)>
*
*
*
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentMax.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentMax.java
index 785503c0af5..6364bae41aa 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentMax.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentMax.java
@@ -38,8 +38,7 @@
* Read
* the section on segmentation
* for an explanation of segments.
- *
This operator is similar to the unsorted segment sum operator found
- * (here) .
+ *
This operator is similar to {@code tf.math.unsorted_segment_sum},
* Instead of computing the sum over segments, it computes the maximum such that:
*
\(output_i = \max_{j...} data[j...]\) where max is over tuples {@code j...} such
* that {@code segment_ids[j...] == i}.
@@ -48,16 +47,26 @@
* {@code output[i] = numeric_limits::lowest()}.
* If the given segment ID {@code i} is negative, then the corresponding value is
* dropped, and will not be included in the result.
+ *
Caution: On CPU, values in {@code segment_ids} are always validated to be less than
+ * {@code num_segments}, and an error is thrown for out-of-bound indices. On GPU, this
+ * does not throw an error for out-of-bound indices. On Gpu, out-of-bound indices
+ * result in safe but unspecified behavior, which may include ignoring
+ * out-of-bound indices or outputting a tensor with a 0 stored in the first
+ * dimension of its shape if {@code num_segments} is 0.
*
*
*
For example:
- *
- * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
- * tf.unsorted_segment_max(c, tf.constant([0, 1, 0]), num_segments=2)
- * # ==> [[ 4, 3, 3, 4],
- * # [5, 6, 7, 8]]
- *
+ *
+ *
+ *
+ * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
+ * tf.math.unsorted_segment_max(c, tf.constant([0, 1, 0]), num_segments=2).numpy()
+ * array([[4, 3, 3, 4],
+ * [5, 6, 7, 8]], dtype=int32)
+ *
+ *
+ *
*
* @param data type for {@code output} output
*/
@@ -88,6 +97,9 @@ public UnsortedSegmentMax(Operation operation) {
* @param scope current scope
* @param data The data value
* @param segmentIds A tensor whose shape is a prefix of {@code data.shape}.
+ * The values must be less than {@code num_segments}.
+ * Caution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
* @param numSegments The numSegments value
* @param data type for {@code UnsortedSegmentMax} output and operands
* @return a new instance of UnsortedSegmentMax
@@ -131,6 +143,9 @@ public static class Inputs extends RawOpInputsCaution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
*/
public final Operand segmentIds;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentMin.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentMin.java
index 541a0f15b47..48026c68c0b 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentMin.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentMin.java
@@ -38,8 +38,7 @@
* Read
* the section on segmentation
* for an explanation of segments.
- * This operator is similar to the unsorted segment sum operator found
- * (here) .
+ *
This operator is similar to {@code tf.math.unsorted_segment_sum},
* Instead of computing the sum over segments, it computes the minimum such that:
*
\(output_i = \min_{j...} data_[j...]\) where min is over tuples {@code j...} such
* that {@code segment_ids[j...] == i}.
@@ -47,14 +46,24 @@
* possible value for the specific numeric type,
* {@code output[i] = numeric_limits::max()}.
* For example:
- *
- * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
- * tf.unsorted_segment_min(c, tf.constant([0, 1, 0]), num_segments=2)
- * # ==> [[ 1, 2, 2, 1],
- * # [5, 6, 7, 8]]
- *
+ *
+ *
+ *
+ * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
+ * tf.math.unsorted_segment_min(c, tf.constant([0, 1, 0]), num_segments=2).numpy()
+ * array([[1, 2, 2, 1],
+ * [5, 6, 7, 8]], dtype=int32)
+ *
+ *
+ *
* If the given segment ID {@code i} is negative, then the corresponding value is
* dropped, and will not be included in the result.
+ *
Caution: On CPU, values in {@code segment_ids} are always validated to be less than
+ * {@code num_segments}, and an error is thrown for out-of-bound indices. On GPU, this
+ * does not throw an error for out-of-bound indices. On Gpu, out-of-bound indices
+ * result in safe but unspecified behavior, which may include ignoring
+ * out-of-bound indices or outputting a tensor with a 0 stored in the first
+ * dimension of its shape if {@code num_segments} is 0.
*
* @param data type for {@code output} output
*/
@@ -85,6 +94,9 @@ public UnsortedSegmentMin(Operation operation) {
* @param scope current scope
* @param data The data value
* @param segmentIds A tensor whose shape is a prefix of {@code data.shape}.
+ * The values must be less than {@code num_segments}.
+ * Caution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
* @param numSegments The numSegments value
* @param data type for {@code UnsortedSegmentMin} output and operands
* @return a new instance of UnsortedSegmentMin
@@ -128,6 +140,9 @@ public static class Inputs extends RawOpInputsCaution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
*/
public final Operand segmentIds;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentProd.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentProd.java
index 4d80fde16df..d9827eb6825 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentProd.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentProd.java
@@ -39,22 +39,31 @@
* Read
* the section on segmentation
* for an explanation of segments.
- * This operator is similar to the unsorted segment sum operator found
- * (here) .
+ *
This operator is similar to {@code tf.math.unsorted_segment_sum},
* Instead of computing the sum over segments, it computes the product of all
* entries belonging to a segment such that:
*
\(output_i = \prod_{j...} data[j...]\) where the product is over tuples
* {@code j...} such that {@code segment_ids[j...] == i}.
*
For example:
- *
- * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
- * tf.unsorted_segment_prod(c, tf.constant([0, 1, 0]), num_segments=2)
- * # ==> [[ 4, 6, 6, 4],
- * # [5, 6, 7, 8]]
- *
+ *
+ *
+ *
+ * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
+ * tf.math.unsorted_segment_prod(c, tf.constant([0, 1, 0]), num_segments=2).numpy()
+ * array([[4, 6, 6, 4],
+ * [5, 6, 7, 8]], dtype=int32)
+ *
+ *
+ *
* If there is no entry for a given segment ID {@code i}, it outputs 1.
*
If the given segment ID {@code i} is negative, then the corresponding value is
* dropped, and will not be included in the result.
+ * Caution: On CPU, values in {@code segment_ids} are always validated to be less than
+ * {@code num_segments}, and an error is thrown for out-of-bound indices. On GPU, this
+ * does not throw an error for out-of-bound indices. On Gpu, out-of-bound indices
+ * result in safe but unspecified behavior, which may include ignoring
+ * out-of-bound indices or outputting a tensor with a 0 stored in the first
+ * dimension of its shape if {@code num_segments} is 0.
*
* @param data type for {@code output} output
*/
@@ -85,6 +94,9 @@ public UnsortedSegmentProd(Operation operation) {
* @param scope current scope
* @param data The data value
* @param segmentIds A tensor whose shape is a prefix of {@code data.shape}.
+ * The values must be less than {@code num_segments}.
+ * Caution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
* @param numSegments The numSegments value
* @param data type for {@code UnsortedSegmentProd} output and operands
* @return a new instance of UnsortedSegmentProd
@@ -128,6 +140,9 @@ public static class Inputs extends RawOpInputsCaution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
*/
public final Operand segmentIds;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentSum.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentSum.java
index 8c271e284e9..0dc30ebf9bb 100644
--- a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentSum.java
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/math/UnsortedSegmentSum.java
@@ -48,15 +48,25 @@
* If the given segment ID {@code i} is negative, the value is dropped and will not be
* added to the sum of the segment.
* {@code num_segments} should equal the number of distinct segment IDs.
+ *
Caution: On CPU, values in {@code segment_ids} are always validated to be less than
+ * {@code num_segments}, and an error is thrown for out-of-bound indices. On GPU, this
+ * does not throw an error for out-of-bound indices. On Gpu, out-of-bound indices
+ * result in safe but unspecified behavior, which may include ignoring
+ * out-of-bound indices or outputting a tensor with a 0 stored in the first
+ * dimension of its shape if {@code num_segments} is 0.
*
*
*
- * c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
- * tf.math.unsorted_segment_sum(c, tf.constant([0, 1, 0]), num_segments=2)
- * # ==> [[ 5, 5, 5, 5],
- * # [5, 6, 7, 8]]
- *
+ *
+ *
+ *
+ * c = [[1,2,3,4], [5,6,7,8], [4,3,2,1]]
+ * tf.math.unsorted_segment_sum(c, [0, 1, 0], num_segments=2).numpy()
+ * array([[5, 5, 5, 5],
+ * [5, 6, 7, 8]], dtype=int32)
+ *
+ *
+ *
*
* @param data type for {@code output} output
*/
@@ -87,6 +97,9 @@ public UnsortedSegmentSum(Operation operation) {
* @param scope current scope
* @param data The data value
* @param segmentIds A tensor whose shape is a prefix of {@code data.shape}.
+ * The values must be less than {@code num_segments}.
+ * Caution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
* @param numSegments The numSegments value
* @param data type for {@code UnsortedSegmentSum} output and operands
* @return a new instance of UnsortedSegmentSum
@@ -130,6 +143,9 @@ public static class Inputs extends RawOpInputsCaution: The values are always validated to be in range on CPU, never validated
+ * on GPU.
*/
public final Operand segmentIds;
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/tpu/DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/tpu/DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.java
new file mode 100644
index 00000000000..04c9f77373d
--- /dev/null
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/tpu/DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.java
@@ -0,0 +1,285 @@
+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+=======================================================================*/
+
+// This class has been generated, DO NOT EDIT!
+
+package org.tensorflow.op.tpu;
+
+import java.util.Arrays;
+import java.util.List;
+import org.tensorflow.GraphOperation;
+import org.tensorflow.Operand;
+import org.tensorflow.Operation;
+import org.tensorflow.OperationBuilder;
+import org.tensorflow.op.Operands;
+import org.tensorflow.op.RawOp;
+import org.tensorflow.op.RawOpInputs;
+import org.tensorflow.op.Scope;
+import org.tensorflow.op.annotation.Endpoint;
+import org.tensorflow.op.annotation.OpInputsMetadata;
+import org.tensorflow.op.annotation.OpMetadata;
+import org.tensorflow.proto.framework.DataType;
+import org.tensorflow.types.TInt32;
+import org.tensorflow.types.TString;
+import org.tensorflow.types.family.TNumber;
+
+/**
+ * Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
+ * embedding_indices[i] and aggregation_weights[i] correspond
+ * to the ith feature.
+ * The tensors at corresponding positions in the three input lists (sample_indices,
+ * embedding_indices and aggregation_weights) must have the same shape, i.e. rank 1
+ * with dim_size() equal to the total number of lookups into the table described by
+ * the corresponding feature.
+ */
+@OpMetadata(
+ opType = DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.OP_NAME,
+ inputsClass = DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs.class
+)
+public final class DynamicEnqueueTPUEmbeddingArbitraryTensorBatch extends RawOp {
+ /**
+ * The name of this op, as known by TensorFlow core engine
+ */
+ public static final String OP_NAME = "DynamicEnqueueTPUEmbeddingArbitraryTensorBatch";
+
+ public DynamicEnqueueTPUEmbeddingArbitraryTensorBatch(Operation operation) {
+ super(operation, OP_NAME);
+ }
+
+ /**
+ * Factory method to create a class wrapping a new DynamicEnqueueTPUEmbeddingArbitraryTensorBatch operation.
+ *
+ * @param scope current scope
+ * @param sampleIndicesOrRowLengths A list of rank 2 Tensors specifying the training example to which the
+ * corresponding embedding_indices and aggregation_weights values belong.
+ * If the size of its first dimension is 0, we assume each embedding_indices
+ * belongs to a different sample. Both int32 and int64 are allowed and will
+ * be converted to int32 internally.
+ *
Or a list of rank 1 Tensors specifying the row lengths for splitting
+ * embedding_indices and aggregation_weights into rows. It corresponds to
+ * ids.row_lengths in embedding_lookup(), when ids is a RaggedTensor. When
+ * enqueuing N-D ragged tensor, only the last dimension is allowed to be ragged.
+ * the row lengths is 1-D dense tensor. When empty, we assume a dense tensor is
+ * passed to the op Both int32 and int64 are allowed and will be converted to
+ * int32 internally.
+ * @param embeddingIndices A list of rank 1 Tensors, indices into the embedding
+ * tables. Both int32 and int64 are allowed and will be converted to
+ * int32 internally.
+ * @param aggregationWeights A list of rank 1 Tensors containing per training
+ * example aggregation weights. Both float32 and float64 are allowed and will
+ * be converted to float32 internally.
+ * @param modeOverride A string input that overrides the mode specified in the
+ * TPUEmbeddingConfiguration. Supported values are {'unspecified', 'inference',
+ * 'training', 'backward_pass_only'}. When set to 'unspecified', the mode set
+ * in TPUEmbeddingConfiguration is used, otherwise mode_override is used.
+ * @param deviceOrdinal The TPU device to use. Should be >= 0 and less than the number
+ * of TPU cores in the task on which the node is placed.
+ * @param options carries optional attribute values
+ * @return a new instance of DynamicEnqueueTPUEmbeddingArbitraryTensorBatch
+ */
+ @Endpoint(
+ describeByClass = true
+ )
+ public static DynamicEnqueueTPUEmbeddingArbitraryTensorBatch create(Scope scope,
+ Iterable> sampleIndicesOrRowLengths,
+ Iterable> embeddingIndices,
+ Iterable> aggregationWeights, Operand modeOverride,
+ Operand deviceOrdinal, Options... options) {
+ OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "DynamicEnqueueTPUEmbeddingArbitraryTensorBatch");
+ opBuilder.addInputList(Operands.asOutputs(sampleIndicesOrRowLengths));
+ opBuilder.addInputList(Operands.asOutputs(embeddingIndices));
+ opBuilder.addInputList(Operands.asOutputs(aggregationWeights));
+ opBuilder.addInput(modeOverride.asOutput());
+ opBuilder.addInput(deviceOrdinal.asOutput());
+ if (options != null) {
+ for (Options opts : options) {
+ if (opts.combiners != null) {
+ String[] combinersArray = new String[opts.combiners.size()];
+ for (int i = 0 ; i < combinersArray.length ; i++) {
+ combinersArray[i] = opts.combiners.get(i);
+ }
+ opBuilder.setAttr("combiners", combinersArray);
+ }
+ }
+ }
+ return new DynamicEnqueueTPUEmbeddingArbitraryTensorBatch(opBuilder.build());
+ }
+
+ /**
+ * Sets the combiners option.
+ *
+ * @param combiners A list of string scalars, one for each embedding table that specify
+ * how to normalize the embedding activations after weighted summation.
+ * Supported combiners are 'mean', 'sum', or 'sqrtn'. It is invalid to have
+ * the sum of the weights be 0 for 'mean' or the sum of the squared weights be
+ * 0 for 'sqrtn'. If combiners isn't passed, the default is to use 'sum' for
+ * all tables.
+ * @return this Options instance.
+ */
+ public static Options combiners(List combiners) {
+ return new Options().combiners(combiners);
+ }
+
+ /**
+ * Sets the combiners option.
+ *
+ * @param combiners A list of string scalars, one for each embedding table that specify
+ * how to normalize the embedding activations after weighted summation.
+ * Supported combiners are 'mean', 'sum', or 'sqrtn'. It is invalid to have
+ * the sum of the weights be 0 for 'mean' or the sum of the squared weights be
+ * 0 for 'sqrtn'. If combiners isn't passed, the default is to use 'sum' for
+ * all tables.
+ * @return this Options instance.
+ */
+ public static Options combiners(String... combiners) {
+ return new Options().combiners(combiners);
+ }
+
+ /**
+ * Optional attributes for {@link org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch}
+ */
+ public static class Options {
+ private List combiners;
+
+ private Options() {
+ }
+
+ /**
+ * Sets the combiners option.
+ *
+ * @param combiners A list of string scalars, one for each embedding table that specify
+ * how to normalize the embedding activations after weighted summation.
+ * Supported combiners are 'mean', 'sum', or 'sqrtn'. It is invalid to have
+ * the sum of the weights be 0 for 'mean' or the sum of the squared weights be
+ * 0 for 'sqrtn'. If combiners isn't passed, the default is to use 'sum' for
+ * all tables.
+ * @return this Options instance.
+ */
+ public Options combiners(List combiners) {
+ this.combiners = combiners;
+ return this;
+ }
+
+ /**
+ * Sets the combiners option.
+ *
+ * @param combiners A list of string scalars, one for each embedding table that specify
+ * how to normalize the embedding activations after weighted summation.
+ * Supported combiners are 'mean', 'sum', or 'sqrtn'. It is invalid to have
+ * the sum of the weights be 0 for 'mean' or the sum of the squared weights be
+ * 0 for 'sqrtn'. If combiners isn't passed, the default is to use 'sum' for
+ * all tables.
+ * @return this Options instance.
+ */
+ public Options combiners(String... combiners) {
+ this.combiners = Arrays.asList(combiners);
+ return this;
+ }
+ }
+
+ @OpInputsMetadata(
+ outputsClass = DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.class
+ )
+ public static class Inputs extends RawOpInputs {
+ /**
+ * A list of rank 2 Tensors specifying the training example to which the
+ * corresponding embedding_indices and aggregation_weights values belong.
+ * If the size of its first dimension is 0, we assume each embedding_indices
+ * belongs to a different sample. Both int32 and int64 are allowed and will
+ * be converted to int32 internally.
+ * Or a list of rank 1 Tensors specifying the row lengths for splitting
+ * embedding_indices and aggregation_weights into rows. It corresponds to
+ * ids.row_lengths in embedding_lookup(), when ids is a RaggedTensor. When
+ * enqueuing N-D ragged tensor, only the last dimension is allowed to be ragged.
+ * the row lengths is 1-D dense tensor. When empty, we assume a dense tensor is
+ * passed to the op Both int32 and int64 are allowed and will be converted to
+ * int32 internally.
+ */
+ public final Iterable> sampleIndicesOrRowLengths;
+
+ /**
+ * A list of rank 1 Tensors, indices into the embedding
+ * tables. Both int32 and int64 are allowed and will be converted to
+ * int32 internally.
+ */
+ public final Iterable> embeddingIndices;
+
+ /**
+ * A list of rank 1 Tensors containing per training
+ * example aggregation weights. Both float32 and float64 are allowed and will
+ * be converted to float32 internally.
+ */
+ public final Iterable> aggregationWeights;
+
+ /**
+ * A string input that overrides the mode specified in the
+ * TPUEmbeddingConfiguration. Supported values are {'unspecified', 'inference',
+ * 'training', 'backward_pass_only'}. When set to 'unspecified', the mode set
+ * in TPUEmbeddingConfiguration is used, otherwise mode_override is used.
+ */
+ public final Operand modeOverride;
+
+ /**
+ * The TPU device to use. Should be >= 0 and less than the number
+ * of TPU cores in the task on which the node is placed.
+ */
+ public final Operand deviceOrdinal;
+
+ /**
+ * The T1 attribute
+ */
+ public final DataType T1;
+
+ /**
+ * The T2 attribute
+ */
+ public final DataType T2;
+
+ /**
+ * The T3 attribute
+ */
+ public final DataType T3;
+
+ /**
+ * A list of string scalars, one for each embedding table that specify
+ * how to normalize the embedding activations after weighted summation.
+ * Supported combiners are 'mean', 'sum', or 'sqrtn'. It is invalid to have
+ * the sum of the weights be 0 for 'mean' or the sum of the squared weights be
+ * 0 for 'sqrtn'. If combiners isn't passed, the default is to use 'sum' for
+ * all tables.
+ */
+ public final String[] combiners;
+
+ public Inputs(GraphOperation op) {
+ super(new DynamicEnqueueTPUEmbeddingArbitraryTensorBatch(op), op, Arrays.asList("T1", "T2", "T3", "combiners"));
+ int inputIndex = 0;
+ int sampleIndicesOrRowLengthsLength = op.inputListLength("sample_indices_or_row_lengths");
+ sampleIndicesOrRowLengths = Arrays.asList((Operand[]) op.inputList(inputIndex, sampleIndicesOrRowLengthsLength));
+ inputIndex += sampleIndicesOrRowLengthsLength;
+ int embeddingIndicesLength = op.inputListLength("embedding_indices");
+ embeddingIndices = Arrays.asList((Operand[]) op.inputList(inputIndex, embeddingIndicesLength));
+ inputIndex += embeddingIndicesLength;
+ int aggregationWeightsLength = op.inputListLength("aggregation_weights");
+ aggregationWeights = Arrays.asList((Operand[]) op.inputList(inputIndex, aggregationWeightsLength));
+ inputIndex += aggregationWeightsLength;
+ modeOverride = (Operand) op.input(inputIndex++);
+ deviceOrdinal = (Operand) op.input(inputIndex++);
+ T1 = op.attributes().getAttrType("T1");
+ T2 = op.attributes().getAttrType("T2");
+ T3 = op.attributes().getAttrType("T3");
+ combiners = op.attributes().getAttrStringList("combiners");
+ }
+ }
+}
diff --git a/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/tpu/EnqueueTPUEmbeddingArbitraryTensorBatch.java b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/tpu/EnqueueTPUEmbeddingArbitraryTensorBatch.java
new file mode 100644
index 00000000000..c0ecaa9593c
--- /dev/null
+++ b/tensorflow-core/tensorflow-core-api/src/gen/java/org/tensorflow/op/tpu/EnqueueTPUEmbeddingArbitraryTensorBatch.java
@@ -0,0 +1,309 @@
+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+=======================================================================*/
+
+// This class has been generated, DO NOT EDIT!
+
+package org.tensorflow.op.tpu;
+
+import java.util.Arrays;
+import java.util.List;
+import org.tensorflow.GraphOperation;
+import org.tensorflow.Operand;
+import org.tensorflow.Operation;
+import org.tensorflow.OperationBuilder;
+import org.tensorflow.op.Operands;
+import org.tensorflow.op.RawOp;
+import org.tensorflow.op.RawOpInputs;
+import org.tensorflow.op.Scope;
+import org.tensorflow.op.annotation.Endpoint;
+import org.tensorflow.op.annotation.OpInputsMetadata;
+import org.tensorflow.op.annotation.OpMetadata;
+import org.tensorflow.proto.framework.DataType;
+import org.tensorflow.types.TString;
+import org.tensorflow.types.family.TNumber;
+
+/**
+ * Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
+ * embedding_indices[i] and aggregation_weights[i] correspond
+ * to the ith feature.
+ * The tensors at corresponding positions in the three input lists (sample_indices,
+ * embedding_indices and aggregation_weights) must have the same shape, i.e. rank 1
+ * with dim_size() equal to the total number of lookups into the table described by
+ * the corresponding feature.
+ */
+@OpMetadata(
+ opType = EnqueueTPUEmbeddingArbitraryTensorBatch.OP_NAME,
+ inputsClass = EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs.class
+)
+public final class EnqueueTPUEmbeddingArbitraryTensorBatch extends RawOp {
+ /**
+ * The name of this op, as known by TensorFlow core engine
+ */
+ public static final String OP_NAME = "EnqueueTPUEmbeddingArbitraryTensorBatch";
+
+ public EnqueueTPUEmbeddingArbitraryTensorBatch(Operation operation) {
+ super(operation, OP_NAME);
+ }
+
+ /**
+ * Factory method to create a class wrapping a new EnqueueTPUEmbeddingArbitraryTensorBatch operation.
+ *
+ * @param scope current scope
+ * @param sampleIndicesOrRowLengths A list of rank 2 Tensors specifying the training example to which the
+ * corresponding embedding_indices and aggregation_weights values belong.
+ * If the size of its first dimension is 0, we assume each embedding_indices
+ * belongs to a different sample. Both int32 and int64 are allowed and will
+ * be converted to int32 internally.
+ *
Or a list of rank 1 Tensors specifying the row lengths for splitting
+ * embedding_indices and aggregation_weights into rows. It corresponds to
+ * ids.row_lengths in embedding_lookup(), when ids is a RaggedTensor. When
+ * enqueuing N-D ragged tensor, only the last dimension is allowed to be ragged.
+ * the row lengths is 1-D dense tensor. When empty, we assume a dense tensor is
+ * passed to the op Both int32 and int64 are allowed and will be converted to
+ * int32 internally.
+ * @param embeddingIndices A list of rank 1 Tensors, indices into the embedding
+ * tables. Both int32 and int64 are allowed and will be converted to
+ * int32 internally.
+ * @param aggregationWeights A list of rank 1 Tensors containing per training
+ * example aggregation weights. Both float32 and float64 are allowed and will
+ * be converted to float32 internally.
+ * @param modeOverride A string input that overrides the mode specified in the
+ * TPUEmbeddingConfiguration. Supported values are {'unspecified', 'inference',
+ * 'training', 'backward_pass_only'}. When set to 'unspecified', the mode set
+ * in TPUEmbeddingConfiguration is used, otherwise mode_override is used.
+ * @param options carries optional attribute values
+ * @return a new instance of EnqueueTPUEmbeddingArbitraryTensorBatch
+ */
+ @Endpoint(
+ describeByClass = true
+ )
+ public static EnqueueTPUEmbeddingArbitraryTensorBatch create(Scope scope,
+ Iterable> sampleIndicesOrRowLengths,
+ Iterable> embeddingIndices,
+ Iterable> aggregationWeights, Operand modeOverride,
+ Options... options) {
+ OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "EnqueueTPUEmbeddingArbitraryTensorBatch");
+ opBuilder.addInputList(Operands.asOutputs(sampleIndicesOrRowLengths));
+ opBuilder.addInputList(Operands.asOutputs(embeddingIndices));
+ opBuilder.addInputList(Operands.asOutputs(aggregationWeights));
+ opBuilder.addInput(modeOverride.asOutput());
+ if (options != null) {
+ for (Options opts : options) {
+ if (opts.deviceOrdinal != null) {
+ opBuilder.setAttr("device_ordinal", opts.deviceOrdinal);
+ }
+ if (opts.combiners != null) {
+ String[] combinersArray = new String[opts.combiners.size()];
+ for (int i = 0 ; i < combinersArray.length ; i++) {
+ combinersArray[i] = opts.combiners.get(i);
+ }
+ opBuilder.setAttr("combiners", combinersArray);
+ }
+ }
+ }
+ return new EnqueueTPUEmbeddingArbitraryTensorBatch(opBuilder.build());
+ }
+
+ /**
+ * Sets the deviceOrdinal option.
+ *
+ * @param deviceOrdinal The TPU device to use. Should be >= 0 and less than the number
+ * of TPU cores in the task on which the node is placed.
+ * @return this Options instance.
+ */
+ public static Options deviceOrdinal(Long deviceOrdinal) {
+ return new Options().deviceOrdinal(deviceOrdinal);
+ }
+
+ /**
+ * Sets the combiners option.
+ *
+ * @param combiners A list of string scalars, one for each embedding table that specify
+ * how to normalize the embedding activations after weighted summation.
+ * Supported combiners are 'mean', 'sum', or 'sqrtn'. It is invalid to have
+ * the sum of the weights be 0 for 'mean' or the sum of the squared weights be
+ * 0 for 'sqrtn'. If combiners isn't passed, the default is to use 'sum' for
+ * all tables.
+ * @return this Options instance.
+ */
+ public static Options combiners(List combiners) {
+ return new Options().combiners(combiners);
+ }
+
+ /**
+ * Sets the combiners option.
+ *
+ * @param combiners A list of string scalars, one for each embedding table that specify
+ * how to normalize the embedding activations after weighted summation.
+ * Supported combiners are 'mean', 'sum', or 'sqrtn'. It is invalid to have
+ * the sum of the weights be 0 for 'mean' or the sum of the squared weights be
+ * 0 for 'sqrtn'. If combiners isn't passed, the default is to use 'sum' for
+ * all tables.
+ * @return this Options instance.
+ */
+ public static Options combiners(String... combiners) {
+ return new Options().combiners(combiners);
+ }
+
+ /**
+ * Optional attributes for {@link org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch}
+ */
+ public static class Options {
+ private Long deviceOrdinal;
+
+ private List combiners;
+
+ private Options() {
+ }
+
+ /**
+ * Sets the deviceOrdinal option.
+ *
+ * @param deviceOrdinal The TPU device to use. Should be >= 0 and less than the number
+ * of TPU cores in the task on which the node is placed.
+ * @return this Options instance.
+ */
+ public Options deviceOrdinal(Long deviceOrdinal) {
+ this.deviceOrdinal = deviceOrdinal;
+ return this;
+ }
+
+ /**
+ * Sets the combiners option.
+ *
+ * @param combiners A list of string scalars, one for each embedding table that specify
+ * how to normalize the embedding activations after weighted summation.
+ * Supported combiners are 'mean', 'sum', or 'sqrtn'. It is invalid to have
+ * the sum of the weights be 0 for 'mean' or the sum of the squared weights be
+ * 0 for 'sqrtn'. If combiners isn't passed, the default is to use 'sum' for
+ * all tables.
+ * @return this Options instance.
+ */
+ public Options combiners(List combiners) {
+ this.combiners = combiners;
+ return this;
+ }
+
+ /**
+ * Sets the combiners option.
+ *
+ * @param combiners A list of string scalars, one for each embedding table that specify
+ * how to normalize the embedding activations after weighted summation.
+ * Supported combiners are 'mean', 'sum', or 'sqrtn'. It is invalid to have
+ * the sum of the weights be 0 for 'mean' or the sum of the squared weights be
+ * 0 for 'sqrtn'. If combiners isn't passed, the default is to use 'sum' for
+ * all tables.
+ * @return this Options instance.
+ */
+ public Options combiners(String... combiners) {
+ this.combiners = Arrays.asList(combiners);
+ return this;
+ }
+ }
+
+ @OpInputsMetadata(
+ outputsClass = EnqueueTPUEmbeddingArbitraryTensorBatch.class
+ )
+ public static class Inputs extends RawOpInputs {
+ /**
+ * A list of rank 2 Tensors specifying the training example to which the
+ * corresponding embedding_indices and aggregation_weights values belong.
+ * If the size of its first dimension is 0, we assume each embedding_indices
+ * belongs to a different sample. Both int32 and int64 are allowed and will
+ * be converted to int32 internally.
+ * Or a list of rank 1 Tensors specifying the row lengths for splitting
+ * embedding_indices and aggregation_weights into rows. It corresponds to
+ * ids.row_lengths in embedding_lookup(), when ids is a RaggedTensor. When
+ * enqueuing N-D ragged tensor, only the last dimension is allowed to be ragged.
+ * the row lengths is 1-D dense tensor. When empty, we assume a dense tensor is
+ * passed to the op Both int32 and int64 are allowed and will be converted to
+ * int32 internally.
+ */
+ public final Iterable> sampleIndicesOrRowLengths;
+
+ /**
+ * A list of rank 1 Tensors, indices into the embedding
+ * tables. Both int32 and int64 are allowed and will be converted to
+ * int32 internally.
+ */
+ public final Iterable> embeddingIndices;
+
+ /**
+ * A list of rank 1 Tensors containing per training
+ * example aggregation weights. Both float32 and float64 are allowed and will
+ * be converted to float32 internally.
+ */
+ public final Iterable> aggregationWeights;
+
+ /**
+ * A string input that overrides the mode specified in the
+ * TPUEmbeddingConfiguration. Supported values are {'unspecified', 'inference',
+ * 'training', 'backward_pass_only'}. When set to 'unspecified', the mode set
+ * in TPUEmbeddingConfiguration is used, otherwise mode_override is used.
+ */
+ public final Operand