4764bf2986
Step 1 of re-namespace'ing StreamExecutor into ::stream_executor. This moves everything inside of stream_executor/..., and leaves a namespace alias into ::perftools::gputools. The next steps will clean up users to use the new namespace. This is mostly a mechanical change, but it also includes a bunch of non-mechanical changes that ideally would be split out into separate patches. Unfortunately they all sort of need to be shoved in here for various reasons: - forward declarations need to be in the same namespace as the actual types, so we need to change all forward declarations of StreamExecutor types in this one patch. - Uses of these forward declarations need to be changed to the new namespace (or otherwise we need to add a namespace alias to the relevant header, but this is pretty ugly). - Various initialization code needs to live in StreamExecutor's "real" namespace, so all this needs to be changed. PiperOrigin-RevId: 193256128
43 lines
1.6 KiB
C++
43 lines
1.6 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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// This file contains declarations relating to kernel cache configuration
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// parameters recognized by the StreamExecutor.
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#ifndef TENSORFLOW_STREAM_EXECUTOR_KERNEL_CACHE_CONFIG_H_
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#define TENSORFLOW_STREAM_EXECUTOR_KERNEL_CACHE_CONFIG_H_
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namespace stream_executor {
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// This enum represents potential configurations of L1/shared memory when
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// running a particular kernel. These values represent user preference, and
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// the runtime is not required to respect these choices.
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enum class KernelCacheConfig {
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// Indicates no preference for device L1/shared memory configuration.
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kNoPreference,
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// Indicates a preference for more shared memory than L1 cache.
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kPreferShared,
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// Indicates a preference for more L1 cache than shared memory.
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kPreferL1,
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// Indicates a preference for equal amounts of L1 cache and shared memory.
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kPreferEqual,
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};
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} // namespace stream_executor
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#endif // TENSORFLOW_STREAM_EXECUTOR_KERNEL_CACHE_CONFIG_H_
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