4b628e8a15
This is a part of a larger migration effort for tensorflow::tstring. See: https://github.com/tensorflow/community/pull/91 PiperOrigin-RevId: 262172788
47 lines
1.5 KiB
C++
47 lines
1.5 KiB
C++
/* Copyright 2015 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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// An example Op.
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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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namespace tensorflow {
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REGISTER_OP("Ackermann")
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.Output("ackermann: string")
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.Doc(R"doc(
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Output a fact about the ackermann function.
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)doc");
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class AckermannOp : public OpKernel {
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public:
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explicit AckermannOp(OpKernelConstruction* context) : OpKernel(context) {}
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void Compute(OpKernelContext* context) override {
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// Output a scalar string.
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Tensor* output_tensor = nullptr;
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OP_REQUIRES_OK(context,
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context->allocate_output(0, TensorShape(), &output_tensor));
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auto output = output_tensor->scalar<tstring>();
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output() = "A(m, 0) == A(m-1, 1)";
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}
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};
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REGISTER_KERNEL_BUILDER(Name("Ackermann").Device(DEVICE_CPU), AckermannOp);
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} // namespace tensorflow
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