97123eff94
The lite/internal/common.h header is used by reference kernel implementations, which are used by the Micro build. This means it can't directly or indirectly include headers like pthreads that aren't available on embedded platforms. A recent change added an indirect dependency on another header which does, so this modularization ensures that only the required portion is included as a separate file, avoiding the dependency. PiperOrigin-RevId: 255055378
38 lines
1.4 KiB
C++
38 lines
1.4 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_LITE_KERNELS_INTERNAL_OPTIMIZED_CPU_CHECK_H_
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#define TENSORFLOW_LITE_KERNELS_INTERNAL_OPTIMIZED_CPU_CHECK_H_
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#include "tensorflow/lite/kernels/cpu_backend_context.h"
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#include "tensorflow/lite/kernels/internal/optimized/neon_check.h"
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namespace tflite {
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struct CpuFlags {
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bool neon_dotprod = false;
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};
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inline void GetCpuFlags(CpuBackendContext* cpu_backend_context,
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CpuFlags* cpu_flags) {
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ruy::Context* ruy_context = cpu_backend_context->ruy_context();
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cpu_flags->neon_dotprod =
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ruy_context != nullptr && (ruy_context->GetRuntimeEnabledPaths() &
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ruy::Path::kNeonDotprod) != ruy::Path::kNone;
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}
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} // namespace tflite
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#endif // TENSORFLOW_LITE_KERNELS_INTERNAL_OPTIMIZED_CPU_CHECK_H_
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