| /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| // This file contains declarations relating to kernel cache configuration |
| // parameters recognized by the StreamExecutor. |
| #ifndef TENSORFLOW_STREAM_EXECUTOR_KERNEL_CACHE_CONFIG_H_ |
| #define TENSORFLOW_STREAM_EXECUTOR_KERNEL_CACHE_CONFIG_H_ |
| |
| namespace stream_executor { |
| |
| // This enum represents potential configurations of L1/shared memory when |
| // running a particular kernel. These values represent user preference, and |
| // the runtime is not required to respect these choices. |
| enum class KernelCacheConfig { |
| // Indicates no preference for device L1/shared memory configuration. |
| kNoPreference, |
| |
| // Indicates a preference for more shared memory than L1 cache. |
| kPreferShared, |
| |
| // Indicates a preference for more L1 cache than shared memory. |
| kPreferL1, |
| |
| // Indicates a preference for equal amounts of L1 cache and shared memory. |
| kPreferEqual, |
| }; |
| |
| } // namespace stream_executor |
| |
| #endif // TENSORFLOW_STREAM_EXECUTOR_KERNEL_CACHE_CONFIG_H_ |