change to tf.Graph

Signed-off-by: hwangdeyu <[email protected]>
Co-authored-by: Guenther Schmuelling <[email protected]>
Co-authored-by: fatcat-z <[email protected]>

Author: 3 people

tests/test_backend.py

@@ -2376,6 +2376,9 @@ def func(x):
             return tf.identity(x_, name=_TFOUTPUT)
         self._run_test_case(func, [_OUTPUT], {_INPUT: x_val})
 
+    @skip_tflite("skip_tflite is not support unit32 when tf version <= 2.3.0")
+    @check_opset_min_version(6, "cast")
+    def test_cast_unit32(self):
         x_val = np.array([1, 2, 3, 4], dtype=np.uint32).reshape((2, 2))
         def func(x):
             x_ = tf.cast(x, tf.uint64)

tf2onnx/convert.py

@@ -373,9 +373,8 @@ def _from_keras_tf1(model, input_signature=None, opset=None, custom_ops=None, cu
 
     with tf.device("/cpu:0"):
         frozen_graph, initialized_tables = tf_loader.freeze_session(sess, input_names, output_names, get_tables=True)
-        tf_loader.tf_reset_default_graph()
-        with tf_loader.tf_session() as sess:
-            tf.import_graph_def(frozen_graph, name='')
+        with tf.Graph().as_default():
+            tf.import_graph_def(frozen_graph, name="")
             frozen_graph = tf_loader.tf_optimize(input_names, output_names, frozen_graph, False)
         model_proto, external_tensor_storage = _convert_common(
             frozen_graph,

tf2onnx/version.py

@@ -1,3 +1,4 @@
+# SPDX-License-Identifier: Apache-2.0
 
 version = '1.10.0'
 git_version = '219e00c073f6e73fba7335630dcf1f96cc82c983'