experiments/STT-tensorflow
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don't trace arguments (include tensor shapes and op attributes used for cost analysis) for dataset ops.

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PiperOrigin-RevId: 301671357
Change-Id: I4cf44855603ea26007a9652d6c01866db4d83c5b
This commit is contained in:
A. Unique TensorFlower 2020-03-18 14:38:13 -07:00 committed by TensorFlower Gardener
parent 5b00c31c4b
commit bfafc1acef
2 changed files with 6 additions and 0 deletions
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4
tensorflow/core/framework/dataset.cc
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@ -508,6 +508,10 @@ void DatasetOpKernel::Compute(OpKernelContext* ctx) {
} }
} }
string DatasetOpKernel::TraceString(OpKernelContext* ctx, bool verbose) {
return strings::StrCat(name_view(), ":", type_string_view());
}
// static // static
bool DatasetOpKernel::IsDatasetOp(const OpDef* op_def) { bool DatasetOpKernel::IsDatasetOp(const OpDef* op_def) {
if (DatasetOpRegistry::IsRegistered(op_def->name())) { if (DatasetOpRegistry::IsRegistered(op_def->name())) {

2
tensorflow/core/framework/dataset.h
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@ -1073,6 +1073,8 @@ class DatasetOpKernel : public OpKernel {
// the `DatasetOpKernel` class. // the `DatasetOpKernel` class.
static bool IsDatasetOp(const OpDef* op_def); static bool IsDatasetOp(const OpDef* op_def);
string TraceString(OpKernelContext* ctx, bool verbose) override;
protected: protected:
// Subclasses should implement this method. It will be called during Compute // Subclasses should implement this method. It will be called during Compute
// execution. // execution.