74 lines
2.9 KiB
C++
74 lines
2.9 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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// XLA-specific base classes for Reduction Ops.
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#ifndef TENSORFLOW_COMPILER_TF2XLA_KERNELS_REDUCTION_OPS_H_
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#define TENSORFLOW_COMPILER_TF2XLA_KERNELS_REDUCTION_OPS_H_
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#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/core/framework/op_kernel.h"
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namespace tensorflow {
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// Reduction operations. The base class contains pure virtual methods
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// to override: description is a textual description of the mapped
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// function; InitialValue constructs the base case for the reduction;
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// BuildReducer adds the implementation of the reduction lambda to a
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// xla::XlaBuilder and BuildFinalizer adds the
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// implementation of the finalizer lambda (if there is one) to a
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// xla::XlaBuilder.
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class XlaReductionOp : public XlaOpKernel {
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public:
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XlaReductionOp(OpKernelConstruction* ctx, DataType reduction_type);
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~XlaReductionOp() override {}
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// Return the base case for the reduction.
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virtual xla::XlaOp InitialValue(xla::XlaBuilder* builder) = 0;
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// Implement the (scalar,scalar)->scalar lambda that should be
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// applied to each pair of elements to be reduced. The desired
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// computation should be added to 'builder' and
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// '(scalar_lhs,scalar_rhs)' are the function's inputs.
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virtual void BuildReducer(xla::XlaBuilder* builder,
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const xla::XlaOp& scalar_lhs,
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const xla::XlaOp& scalar_rhs) = 0;
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// Applies a transformation to the output of the reduction. The desired
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// computation should be added to 'builder'. Argument 'input' is the original
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// input of the reduction; 'reduce_output' is the output of the reduction.
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// Returns the transformed reduction output. Defaults to returning
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// 'reduce_output' converted to the input type.
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virtual xla::XlaOp BuildFinalizer(
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xla::XlaBuilder* builder, const xla::XlaOp& input,
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const xla::XlaOp& reduce_output,
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const std::vector<int64>& dimensions_to_reduce);
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void Compile(XlaOpKernelContext* ctx) override;
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private:
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// True if the number of dimensions should be maintained.
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bool keep_dims_;
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protected:
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DataType reduction_type_;
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xla::PrimitiveType xla_reduction_type_;
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_KERNELS_REDUCTION_OPS_H_
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