f1b58a9c2c
Next step is to wire it up with OpenGL-based backend and provide a single GPU delegate. PiperOrigin-RevId: 263822202
44 lines
1.3 KiB
C++
44 lines
1.3 KiB
C++
/* Copyright 2019 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.
|
|
==============================================================================*/
|
|
|
|
#include "tensorflow/lite/delegates/gpu/cl/precision.h"
|
|
|
|
namespace tflite {
|
|
namespace gpu {
|
|
namespace cl {
|
|
|
|
std::string ToString(CalculationsPrecision precision) {
|
|
switch (precision) {
|
|
case CalculationsPrecision::F32_F16:
|
|
return "CalculationsPrecision::F32_F16";
|
|
case CalculationsPrecision::F32:
|
|
return "CalculationsPrecision::F32";
|
|
case CalculationsPrecision::F16:
|
|
return "CalculationsPrecision::F16";
|
|
}
|
|
}
|
|
|
|
DataType DeduceDataTypeFromPrecision(CalculationsPrecision precision) {
|
|
if (precision == CalculationsPrecision::F32) {
|
|
return DataType::FLOAT32;
|
|
} else {
|
|
return DataType::FLOAT16;
|
|
}
|
|
}
|
|
|
|
} // namespace cl
|
|
} // namespace gpu
|
|
} // namespace tflite
|