94745ad5bd
floating point equality checking and allowing excess precision. PiperOrigin-RevId: 244093452
44 lines
1.4 KiB
C++
44 lines
1.4 KiB
C++
/* Copyright 2017 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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// Declarations of the ArgMax/ArgMin ops using a pure XLA implementation.
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#ifndef TENSORFLOW_COMPILER_TF2XLA_KERNELS_INDEX_OPS_H_
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#define TENSORFLOW_COMPILER_TF2XLA_KERNELS_INDEX_OPS_H_
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#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
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#include "tensorflow/core/framework/op_kernel.h"
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namespace tensorflow {
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class XlaArgMinMaxOp : public XlaOpKernel {
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public:
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explicit XlaArgMinMaxOp(OpKernelConstruction* ctx, bool is_min);
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void Compile(XlaOpKernelContext* ctx) override;
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private:
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const bool is_min_; // Are we computing ArgMin (true) or ArgMax (false)?
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const bool is_gpu_;
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};
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class XlaArgMaxOp : public XlaArgMinMaxOp {
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public:
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explicit XlaArgMaxOp(OpKernelConstruction* ctx);
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_KERNELS_INDEX_OPS_H_
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