When you pass XLA_FLAGS to replay_computation, you very likely want that only to apply to the actual computation(s) being run, not to the XLA computations that replay_computation synthesizes to generate fake data for the "real" ones' arguments. PiperOrigin-RevId: 224927003
49 lines
1.9 KiB
C++
49 lines
1.9 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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#ifndef TENSORFLOW_COMPILER_XLA_CLIENT_LIB_TESTING_H_
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#define TENSORFLOW_COMPILER_XLA_CLIENT_LIB_TESTING_H_
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#include <memory>
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#include <vector>
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#include "tensorflow/compiler/xla/client/client.h"
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#include "tensorflow/compiler/xla/client/global_data.h"
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#include "tensorflow/compiler/xla/client/xla_computation.h"
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#include "tensorflow/compiler/xla/xla_data.pb.h"
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namespace xla {
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// Generates fake data of the given shape on the device or dies. The fake data
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// is created by performing a computation on the device rather than transferring
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// data from the host to the device.
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//
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// The optional DebugOptions are used when generating fake data on the device.
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std::unique_ptr<GlobalData> MakeFakeDataOrDie(
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const Shape& shape, Client* client, DebugOptions* debug_opts = nullptr);
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// Returns vector of GlobalData handles of fake data (created using
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// MakeFakeDataOrDie) that are correctly shaped arguments for the given
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// xla computation.
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//
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// The optional DebugOptions are used when generating fake data on the device.
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std::vector<std::unique_ptr<GlobalData>> MakeFakeArgumentsOrDie(
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const XlaComputation& computation, Client* client,
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DebugOptions* debug_opts = nullptr);
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_CLIENT_LIB_TESTING_H_
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