wehub-resource-sync
100 lines
4.2 KiB
C++
100 lines
4.2 KiB
C++
/* Copyright 2021 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// This file is MACHINE GENERATED! Do not edit.
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#include "tensorflow/c/experimental/ops/io_ops.h"
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#include <vector>
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#include "absl/status/status.h"
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#include "absl/types/span.h"
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#include "tensorflow/c/eager/abstract_context.h"
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#include "tensorflow/c/eager/abstract_operation.h"
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#include "tensorflow/c/eager/abstract_tensor_handle.h"
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#include "tensorflow/c/eager/tracing_utils.h"
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#include "tensorflow/core/framework/types.h" // NOLINT
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#include "tensorflow/core/framework/types.pb.h"
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#include "tensorflow/core/platform/errors.h" // NOLINT
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using tensorflow::tracing::MaybeSetOpName;
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namespace tensorflow {
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namespace ops {
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// Op: RestoreV2()
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// Summary: Restores tensors from a V2 checkpoint.
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//
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// Description:
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// For backward compatibility with the V1 format, this Op currently allows
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// restoring from a V1 checkpoint as well:
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// - This Op first attempts to find the V2 index file pointed to by
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// "prefix", and
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// if found proceed to read it as a V2 checkpoint;
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// - Otherwise the V1 read path is invoked.
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// Relying on this behavior is not recommended, as the ability to fall back to
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// read V1 might be deprecated and eventually removed.
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//
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// By default, restores the named tensors in full. If the caller wishes to
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// restore specific slices of stored tensors, "shape_and_slices" should be
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// non-empty strings and correspondingly well-formed.
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//
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// Callers must ensure all the named tensors are indeed stored in the
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// checkpoint.
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absl::Status RestoreV2(AbstractContext* ctx, AbstractTensorHandle* const prefix,
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AbstractTensorHandle* const tensor_names,
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AbstractTensorHandle* const shape_and_slices,
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absl::Span<AbstractTensorHandle*> tensors,
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absl::Span<DataType> dtypes, const char* name,
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const char* raw_device_name) {
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AbstractOperationPtr op_ptr(ctx->CreateOperation());
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TF_RETURN_IF_ERROR(op_ptr->Reset("RestoreV2", raw_device_name));
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TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
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TF_RETURN_IF_ERROR(op_ptr->AddInput(prefix));
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TF_RETURN_IF_ERROR(op_ptr->AddInput(tensor_names));
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TF_RETURN_IF_ERROR(op_ptr->AddInput(shape_and_slices));
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TF_RETURN_IF_ERROR(
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op_ptr->SetAttrTypeList("dtypes", dtypes.data(), dtypes.length()));
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int num_retvals = tensors.size();
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return op_ptr->Execute(tensors, &num_retvals);
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}
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// Op: SaveV2()
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// Summary: Saves tensors in V2 checkpoint format.
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//
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// Description:
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// By default, saves the named tensors in full. If the caller wishes to save
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// specific slices of full tensors, "shape_and_slices" should be non-empty
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// strings and correspondingly well-formed.
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absl::Status SaveV2(AbstractContext* ctx, AbstractTensorHandle* const prefix,
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AbstractTensorHandle* const tensor_names,
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AbstractTensorHandle* const shape_and_slices,
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absl::Span<AbstractTensorHandle* const> tensors,
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const char* name, const char* raw_device_name) {
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AbstractOperationPtr op_ptr(ctx->CreateOperation());
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TF_RETURN_IF_ERROR(op_ptr->Reset("SaveV2", raw_device_name));
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TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
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TF_RETURN_IF_ERROR(op_ptr->AddInput(prefix));
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TF_RETURN_IF_ERROR(op_ptr->AddInput(tensor_names));
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TF_RETURN_IF_ERROR(op_ptr->AddInput(shape_and_slices));
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TF_RETURN_IF_ERROR(op_ptr->AddInputList(tensors));
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int num_retvals = 0;
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std::vector<AbstractTensorHandle*> dummy_outputs;
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return op_ptr->Execute(absl::MakeSpan(dummy_outputs), &num_retvals);
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}
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} // namespace ops
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} // namespace tensorflow
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