wehub-resource-sync
70 lines
2.9 KiB
C++
70 lines
2.9 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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#ifndef TENSORFLOW_C_EXPERIMENTAL_OPS_NN_OPS_H_
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#define TENSORFLOW_C_EXPERIMENTAL_OPS_NN_OPS_H_
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#include "absl/status/status.h"
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#include "tensorflow/c/eager/abstract_context.h"
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#include "tensorflow/c/eager/abstract_tensor_handle.h"
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#include "tensorflow/core/framework/types.h" // NOLINT
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namespace tensorflow {
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namespace ops {
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// Computes softmax cross entropy cost and gradients to backpropagate.
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absl::Status SparseSoftmaxCrossEntropyWithLogits(
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AbstractContext* ctx, AbstractTensorHandle* const features,
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AbstractTensorHandle* const labels, AbstractTensorHandle** loss,
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AbstractTensorHandle** backprop, const char* name = nullptr,
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const char* raw_device_name = nullptr);
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// Computes rectified linear gradients for a Relu operation.
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absl::Status ReluGrad(AbstractContext* ctx,
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AbstractTensorHandle* const gradients,
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AbstractTensorHandle* const features,
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AbstractTensorHandle** backprops,
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const char* name = nullptr,
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const char* raw_device_name = nullptr);
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// Computes rectified linear: `max(features, 0)`.
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absl::Status Relu(AbstractContext* ctx, AbstractTensorHandle* const features,
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AbstractTensorHandle** activations,
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const char* name = nullptr,
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const char* raw_device_name = nullptr);
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// Adds `bias` to `value`.
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absl::Status BiasAdd(AbstractContext* ctx, AbstractTensorHandle* const value,
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AbstractTensorHandle* const bias,
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AbstractTensorHandle** output,
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const char* data_format = "NHWC",
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const char* name = nullptr,
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const char* raw_device_name = nullptr);
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// The backward operation for "BiasAdd" on the "bias" tensor.
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absl::Status BiasAddGrad(AbstractContext* ctx,
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AbstractTensorHandle* const out_backprop,
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AbstractTensorHandle** output,
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const char* data_format = "NHWC",
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const char* name = nullptr,
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const char* raw_device_name = nullptr);
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} // namespace ops
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} // namespace tensorflow
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#endif // TENSORFLOW_C_EXPERIMENTAL_OPS_NN_OPS_H_
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