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[MSLITE] bias add int accuracy bug

This commit is contained in:
ling 2022-03-18 14:54:53 +08:00
parent 2102e4c822
commit f9341b99dc
6 changed files with 3 additions and 135 deletions
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1
mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/arithmetic_infer.c
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@ -107,6 +107,7 @@ int ArithmeticInferShape(const TensorC *const *inputs, size_t inputs_size, Tenso
}
REG_INFER(Add, PrimType_AddFusion, ArithmeticInferShape)
REG_INFER(BiasAdd, PrimType_BiasAdd, ArithmeticInferShape)
REG_INFER(Div, PrimType_DivFusion, ArithmeticInferShape)
REG_INFER(Eltwise, PrimType_Eltwise, ArithmeticInferShape)
REG_INFER(FloorDiv, PrimType_FloorDiv, ArithmeticInferShape)

45
mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/bias_infer.c
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@ -1,45 +0,0 @@
/**
* Copyright 2022 Huawei Technologies Co., Ltd
*
* 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 "nnacl/infer/bias_infer.h"
#include "nnacl/infer/infer_register.h"
int BiasInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
OpParameter *parameter) {
int check_ret = CheckAugmentNullSize(inputs, inputs_size, outputs, outputs_size, parameter, 2, 1);
if (check_ret != NNACL_OK) {
return check_ret;
}
SetDataTypeFormat(outputs[0], inputs[0]);
if (!InferFlag(inputs, inputs_size)) {
return NNACL_INFER_INVALID;
}
MS_CHECK_TRUE_RET(inputs[0]->shape_size_ >= 1, NNACL_ERR);
MS_CHECK_TRUE_RET(inputs[1]->shape_size_ == 1, NNACL_ERR);
size_t dim = inputs[0]->shape_size_ - 1;
if (inputs[0]->format_ == Format_KCHW || inputs[0]->format_ == Format_NCHW) {
dim = 1;
}
if (inputs[0]->shape_[dim] != inputs[1]->shape_[0]) {
return NNACL_ERR;
}
SetShapeTensor(outputs[0], inputs[0]);
return NNACL_OK;
}
REG_INFER(BiasAdd, PrimType_BiasAdd, BiasInferShape)

31
mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/bias_infer.h
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@ -1,31 +0,0 @@
/**
* Copyright 2022 Huawei Technologies Co., Ltd
*
* 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.
*/
#ifndef MINDSPORE_NNACL_BIAS_INFER_H
#define MINDSPORE_NNACL_BIAS_INFER_H
#include "nnacl/infer/common_infer.h"
#ifdef __cplusplus
extern "C" {
#endif
int BiasInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
OpParameter *parameter);
#ifdef __cplusplus
}
#endif
#endif // MINDSPORE_NNACL_BIAS_INFER_H

2
mindspore/lite/src/runtime/kernel/arm/int8/add_int8.cc
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@ -25,6 +25,7 @@ using mindspore::lite::KernelRegistrar;
using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_OK;
using mindspore::schema::PrimitiveType_AddFusion;
using mindspore::schema::PrimitiveType_BiasAdd;
namespace mindspore::kernel {
namespace {
@ -255,5 +256,6 @@ int QuantizedAddCPUKernel::Run() {
return ret;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_BiasAdd, LiteKernelCreator<QuantizedAddCPUKernel>)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_AddFusion, LiteKernelCreator<QuantizedAddCPUKernel>)
} // namespace mindspore::kernel

27
mindspore/lite/src/runtime/kernel/arm/int8/bias_add_int8.cc
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@ -1,27 +0,0 @@
/**
* Copyright 2020 Huawei Technologies Co., Ltd
*
* 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 "src/runtime/kernel/arm/int8/bias_add_int8.h"
#include "src/kernel_registry.h"
using mindspore::lite::KernelRegistrar;
using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_OK;
using mindspore::schema::PrimitiveType_BiasAdd;
namespace mindspore::kernel {
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_BiasAdd, LiteKernelCreator<BiasAddInt8CPUKernel>)
} // namespace mindspore::kernel

32
mindspore/lite/src/runtime/kernel/arm/int8/bias_add_int8.h
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@ -1,32 +0,0 @@
/**
* Copyright 2020 Huawei Technologies Co., Ltd
*
* 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.
*/
#ifndef MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_INT8_BAIS_ADD_INT8_H_
#define MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_INT8_BAIS_ADD_INT8_H_
#include <vector>
#include "src/runtime/kernel/arm/int8/add_int8.h"
namespace mindspore::kernel {
class BiasAddInt8CPUKernel : public QuantizedAddCPUKernel {
public:
BiasAddInt8CPUKernel(OpParameter *parameter, const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, const lite::InnerContext *ctx)
: QuantizedAddCPUKernel(parameter, inputs, outputs, ctx) {}
~BiasAddInt8CPUKernel() override = default;
};
} // namespace mindspore::kernel
#endif // MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_INT8_BAIS_ADD_INT8_H_