blob: 34b0e57212c6b1f4123bc03e72bd052407184f65 [file] [log] [blame]
/*
* Copyright (C) 2019 The Android Open Source Project
*
* 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 "Dequantize.h"
#include "OperationsValidationUtils.h"
namespace android::nn {
namespace dequantize {
Result<Version> validate(const IOperationValidationContext* context) {
NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs);
NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs);
const OperandType inputType = context->getInputType(kInputTensor);
const OperandType outputType = context->getOutputType(kOutputTensor);
const Shape& input = context->getInputShape(kInputTensor);
if (hasKnownRank(input)) {
NN_RET_CHECK_LE(getNumberOfDimensions(input), 4u);
}
if (inputType == OperandType::TENSOR_QUANT8_ASYMM &&
outputType == OperandType::TENSOR_FLOAT32) {
return kVersionFeatureLevel1;
}
NN_RET_CHECK(inputType == OperandType::TENSOR_QUANT8_ASYMM ||
inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED ||
inputType == OperandType::TENSOR_QUANT8_SYMM ||
inputType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL)
<< "Unsupported input operand type for DEQUANTIZE op: " << inputType;
NN_RET_CHECK(outputType == OperandType::TENSOR_FLOAT16 ||
outputType == OperandType::TENSOR_FLOAT32)
<< "Unsupported output operand type for DEQUANTIZE op: " << outputType;
return kVersionFeatureLevel3;
}
} // namespace dequantize
NN_DEFINE_VALIDATION_FUNCTION(DEQUANTIZE, dequantize::validate);
} // namespace android::nn