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Add C++ ops IdentityN and Exp.

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PiperOrigin-RevId: 333329699
Change-Id: I6dd2e2d1feef88da26bc28a8cdcb9de4eb73fbcc
This commit is contained in:
Saurabh Saxena 2020-09-23 11:06:45 -07:00 committed by TensorFlower Gardener
parent 87b784f413
commit 6bf1d8a233
4 changed files with 30 additions and 0 deletions
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12
tensorflow/c/experimental/ops/array_ops.cc
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@ -34,6 +34,18 @@ Status Identity(AbstractContext* ctx,
return identity_op->Execute(outputs, &num_retvals); return identity_op->Execute(outputs, &num_retvals);
} }
Status IdentityN(AbstractContext* ctx,
absl::Span<AbstractTensorHandle* const> inputs,
absl::Span<AbstractTensorHandle*> outputs, const char* name) {
AbstractOperationPtr identity_n_op(ctx->CreateOperation());
TF_RETURN_IF_ERROR(
identity_n_op->Reset("IdentityN", /*raw_device_name=*/nullptr));
TF_RETURN_IF_ERROR(MaybeSetOpName(identity_n_op.get(), name));
TF_RETURN_IF_ERROR(identity_n_op->AddInputList(inputs));
int num_retvals = inputs.size();
return identity_n_op->Execute(outputs, &num_retvals);
}
Status ZerosLike(AbstractContext* ctx, Status ZerosLike(AbstractContext* ctx,
absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle* const> inputs,
absl::Span<AbstractTensorHandle*> outputs, const char* name) { absl::Span<AbstractTensorHandle*> outputs, const char* name) {

4
tensorflow/c/experimental/ops/array_ops.h
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@ -26,6 +26,10 @@ Status Identity(AbstractContext* ctx,
absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle* const> inputs,
absl::Span<AbstractTensorHandle*> outputs, const char* name); absl::Span<AbstractTensorHandle*> outputs, const char* name);
Status IdentityN(AbstractContext* ctx,
absl::Span<AbstractTensorHandle* const> inputs,
absl::Span<AbstractTensorHandle*> outputs, const char* name);
Status ZerosLike(AbstractContext* ctx, Status ZerosLike(AbstractContext* ctx,
absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle* const> inputs,
absl::Span<AbstractTensorHandle*> outputs, const char* name); absl::Span<AbstractTensorHandle*> outputs, const char* name);

11
tensorflow/c/experimental/ops/math_ops.cc
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@ -133,5 +133,16 @@ Status DivNoNan(AbstractContext* ctx,
return Status::OK(); return Status::OK();
} }
Status Exp(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
absl::Span<AbstractTensorHandle*> outputs, const char* name) {
AbstractOperationPtr exp_op(ctx->CreateOperation());
TF_RETURN_IF_ERROR(exp_op->Reset("Exp", /*raw_device_name=*/nullptr));
TF_RETURN_IF_ERROR(MaybeSetOpName(exp_op.get(), name));
TF_RETURN_IF_ERROR(exp_op->AddInput(inputs[0]));
int num_retvals = 1;
return exp_op->Execute(outputs, &num_retvals);
}
} // namespace ops } // namespace ops
} // namespace tensorflow } // namespace tensorflow

3
tensorflow/c/experimental/ops/math_ops.h
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@ -47,6 +47,9 @@ Status Sub(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
Status DivNoNan(AbstractContext* ctx, Status DivNoNan(AbstractContext* ctx,
absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle* const> inputs,
absl::Span<AbstractTensorHandle*> outputs, const char* name); absl::Span<AbstractTensorHandle*> outputs, const char* name);
Status Exp(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
absl::Span<AbstractTensorHandle*> outputs, const char* name);
} // namespace ops } // namespace ops
} // namespace tensorflow } // namespace tensorflow