44 lines
1.5 KiB
C++
44 lines
1.5 KiB
C++
/* Copyright 2019 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_DELEGATES_GPU_CL_PRECISION_H_
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#define TENSORFLOW_LITE_DELEGATES_GPU_CL_PRECISION_H_
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#include <string>
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#include "tensorflow/lite/delegates/gpu/common/data_type.h"
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namespace tflite {
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namespace gpu {
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namespace cl {
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enum class CalculationsPrecision { F32, F32_F16, F16 };
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// F32 - all data and all math ops in F32
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// F16 - all data and all math ops in F16
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// F32_F16 - as F16, but some operations (Convolution,
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// DepthwiseConvolution, FullyConnected, ConvolutionTransposed)
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// have accumulator in F32 and usually it calculates 4 mads in F16, sum them,
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// than converts this partial sum to F32 and add to accumulator.
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DataType DeduceDataTypeFromPrecision(CalculationsPrecision precision);
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std::string ToString(CalculationsPrecision precision);
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} // namespace cl
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} // namespace gpu
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} // namespace tflite
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#endif // TENSORFLOW_LITE_DELEGATES_GPU_CL_PRECISION_H_
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