Drop support of 8-bit integers input for CumulativeSum #892
Description
None backend of Chromium prototype supports 8-bit integers for CumulativeSum operator:
- CoreML cumsum: fp16, fp32, i32
- DirectML DML_CUMULATIVE_SUMMATION_OPERATOR_DESC: FLOAT32, FLOAT16, INT64, INT32, UINT64, UINT32
- ONNX CumSum: tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)
- TFLite cumsum: tensor of 32-bit float or 32-bit signless integer or 64-bit signless integer values
For spec-wise consistency, similar reduceSum operator doesn't support 8-bit integers either.
The proposal is to remove the support of 8-int integers input from CumulativeSum tensor limits
| operand | allowed data types | allowed ranks |
|---|---|---|
| input | "float32", "float16", "int32", "uint32", "int64", "uint64" | 1 to N |
| output | same as input | same as input |