wehub-resource-sync
61 lines
2.1 KiB
C++
61 lines
2.1 KiB
C++
/* Copyright 2020 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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#include "tensorflow/core/framework/op.h"
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#include "tensorflow/core/framework/op_kernel.h"
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#include "tensorflow/core/framework/shape_inference.h"
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namespace tensorflow {
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REGISTER_OP("Double")
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.Input("input: T")
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.Output("doubled: T")
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.Attr("T: {int32, float}")
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.SetShapeFn([](::tensorflow::shape_inference::InferenceContext* c) {
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c->set_output(0, c->input(0));
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return absl::OkStatus();
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});
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template <typename T>
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class DoubleOp : public OpKernel {
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public:
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explicit DoubleOp(OpKernelConstruction* context) : OpKernel(context) {}
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void Compute(OpKernelContext* context) override {
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// Grab the input tensor
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const Tensor& input_tensor = context->input(0);
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auto input_flat = input_tensor.flat<T>();
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// Create an output tensor
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Tensor* output_tensor = nullptr;
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OP_REQUIRES_OK(context, context->allocate_output(0, input_tensor.shape(),
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&output_tensor));
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auto output_flat = output_tensor->flat<T>();
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// Set all but the first element of the output tensor to 0.
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const int N = input_flat.size();
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for (int i = 0; i < N; i++) {
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output_flat(i) = 2 * input_flat(i);
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}
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}
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};
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REGISTER_KERNEL_BUILDER(
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Name("Double").Device(DEVICE_CPU).TypeConstraint<int32_t>("T"),
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DoubleOp<int32_t>);
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REGISTER_KERNEL_BUILDER(
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Name("Double").Device(DEVICE_CPU).TypeConstraint<float>("T"),
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DoubleOp<float>);
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} // namespace tensorflow
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