wehub-resource-sync
78 lines
3.0 KiB
C++
78 lines
3.0 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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#ifndef TENSORFLOW_COMPILER_TF2XLA_KERNELS_WHILE_OP_H_
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#define TENSORFLOW_COMPILER_TF2XLA_KERNELS_WHILE_OP_H_
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#include <vector>
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#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
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#include "tensorflow/core/framework/attr_value.pb.h"
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#include "tensorflow/core/framework/op_kernel.h"
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#include "tensorflow/core/platform/types.h"
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namespace tensorflow {
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// This TensorFlow op provides a functional iteration primitive.
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//
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// The inputs and outputs of the loop body must agree on the number, types, and
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// shapes of the Tensors carried around the loop body.
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//
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// Computations in while loops may read from and write to resource variables.
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// Resource variables may be passed as arguments to a function's body and
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// condition functions. The XlaCompiler converts resource variable arguments
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// into parameters to the XLA computation and moves them to the end of the
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// parameter list, and by using the `return_updated_values_for_all_variables`
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// we ensure that all variables that appear in the input also appear at the
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// end of the body's output. This ensures the loop body's input and output
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// signatures match.
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//
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// It is the user's responsibility to ensure that each non-variable _Arg matches
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// the corresponding _Retval.
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//
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// For example, suppose we have a loop body with arguments:
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// DT_INT32, DT_RESOURCE (pointing to a DT_BOOL var), DT_FLOAT
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// and return values
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// DT_INT32, DT_FLOAT
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// It is an error for the body to return DT_RESOURCE values.
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//
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// The body will be lowered into an XLA computation that takes and returns a
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// tuple with XLA type (I32, F32, PRED). Note the resource variable appears at
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// the end of both the loop body's input and output argument lists.
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class XlaWhileOp : public XlaOpKernel {
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public:
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explicit XlaWhileOp(OpKernelConstruction* ctx);
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void Compile(XlaOpKernelContext* ctx) override;
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private:
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NameAttrList cond_name_attr_;
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NameAttrList body_name_attr_;
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bool has_token_input_output_;
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std::vector<std::string> token_input_nodes_;
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std::string original_node_name_;
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// Whether to propagate compile time consts into the loop body.
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// This is not supported by default now since it may cause HBM memory
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// overheads.
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bool propagate_compile_time_consts_ = false;
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XlaWhileOp(const XlaWhileOp&) = delete;
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void operator=(const XlaWhileOp&) = delete;
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_KERNELS_WHILE_OP_H_
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