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!7619 remove int8 base

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Merge pull request !7619 from yefeng/bak
pull/7619/MERGE
mindspore-ci-bot 4 years ago committed by Gitee
parent 80b4dad056 2b23443482
commit c7d81986ba
34 changed files with 556 additions and 469 deletions
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28
mindspore/lite/src/runtime/kernel/arm/base/arg_min_max_base.cc
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@ -16,7 +16,6 @@
#include "src/runtime/kernel/arm/base/arg_min_max_base.h" #include "src/runtime/kernel/arm/base/arg_min_max_base.h"
#include "nnacl/arg_min_max.h" #include "nnacl/arg_min_max.h"
#include "src/runtime/kernel/arm/fp32/argminmax.h" #include "src/runtime/kernel/arm/fp32/argminmax.h"
#include "src/runtime/kernel/arm/int8/argminmax_int8.h"
#include "nnacl/arithmetic_common.h" #include "nnacl/arithmetic_common.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
@ -89,30 +88,6 @@ int ArgMinMaxBaseCPUKernel::Run() {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuArgMinMaxInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *op_parameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (op_parameter == nullptr) {
MS_LOG(ERROR) << "Input op_parameter is nullptr!";
return nullptr;
}
auto kernel = new (std::nothrow) ArgMinMaxInt8CPUKernel(op_parameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new ArgMinMaxInt8CPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << op_parameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(op_parameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuArgMinMaxFp32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuArgMinMaxFp32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *op_parameter, const std::vector<lite::Tensor *> &outputs, OpParameter *op_parameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc, const lite::InnerContext *ctx, const kernel::KernelKey &desc,
@ -139,6 +114,5 @@ kernel::LiteKernel *CpuArgMinMaxFp32KernelCreator(const std::vector<lite::Tensor
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_ArgMax, CpuArgMinMaxFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_ArgMax, CpuArgMinMaxFp32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_ArgMin, CpuArgMinMaxFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_ArgMin, CpuArgMinMaxFp32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_ArgMax, CpuArgMinMaxInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_ArgMin, CpuArgMinMaxInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

28
mindspore/lite/src/runtime/kernel/arm/base/batch_to_space_base.cc
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@ -16,7 +16,6 @@
#include "src/runtime/kernel/arm/base/batch_to_space_base.h" #include "src/runtime/kernel/arm/base/batch_to_space_base.h"
#include "nnacl/batch_to_space.h" #include "nnacl/batch_to_space.h"
#include "src/runtime/kernel/arm/fp32/batch_to_space.h" #include "src/runtime/kernel/arm/fp32/batch_to_space.h"
#include "src/runtime/kernel/arm/int8/batch_to_space_int8.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
#include "include/errorcode.h" #include "include/errorcode.h"
@ -53,31 +52,6 @@ int BatchToSpaceBaseCPUKernel::ReSize() {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuBatchToSpaceInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs,
OpParameter *op_parameter, const lite::InnerContext *ctx,
const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (op_parameter == nullptr) {
MS_LOG(ERROR) << "Input op_parameter is nullptr!";
return nullptr;
}
auto *kernel = new (std::nothrow) BatchToSpaceInt8CPUKernel(op_parameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new BatchToSpaceInt8CPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << op_parameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(op_parameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuBatchToSpaceFp32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuBatchToSpaceFp32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, const std::vector<lite::Tensor *> &outputs,
OpParameter *op_parameter, const lite::InnerContext *ctx, OpParameter *op_parameter, const lite::InnerContext *ctx,
@ -104,8 +78,6 @@ kernel::LiteKernel *CpuBatchToSpaceFp32KernelCreator(const std::vector<lite::Ten
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_BatchToSpace, CpuBatchToSpaceInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_BatchToSpaceND, CpuBatchToSpaceInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_BatchToSpace, CpuBatchToSpaceFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_BatchToSpace, CpuBatchToSpaceFp32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_BatchToSpaceND, CpuBatchToSpaceFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_BatchToSpaceND, CpuBatchToSpaceFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

26
mindspore/lite/src/runtime/kernel/arm/base/concat_base.cc
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@ -15,7 +15,6 @@
*/ */
#include "src/runtime/kernel/arm/base/concat_base.h" #include "src/runtime/kernel/arm/base/concat_base.h"
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/int8/concat_int8.h"
#include "src/runtime/kernel/arm/fp32/concat.h" #include "src/runtime/kernel/arm/fp32/concat.h"
#include "nnacl/fp32/concat.h" #include "nnacl/fp32/concat.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
@ -36,30 +35,6 @@ int ConcatBaseCPUKernel::ReSize() {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuConcatInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Concat);
auto *kernel = new (std::nothrow) ConcatInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new ConcatCPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuConcatInt32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuConcatInt32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter, const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc, const InnerContext *ctx, const kernel::KernelKey &desc,
@ -109,7 +84,6 @@ kernel::LiteKernel *CpuConcatFp32KernelCreator(const std::vector<lite::Tensor *>
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Concat, CpuConcatInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Concat, CpuConcatInt32KernelCreator) REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Concat, CpuConcatInt32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Concat, CpuConcatFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Concat, CpuConcatFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

26
mindspore/lite/src/runtime/kernel/arm/base/crop_base.cc
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@ -15,7 +15,6 @@
*/ */
#include "src/runtime/kernel/arm/base/crop_base.h" #include "src/runtime/kernel/arm/base/crop_base.h"
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/int8/crop_int8.h"
#include "src/runtime/kernel/arm/fp32/crop.h" #include "src/runtime/kernel/arm/fp32/crop.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
@ -30,30 +29,6 @@ using mindspore::schema::PrimitiveType_Crop;
namespace mindspore::kernel { namespace mindspore::kernel {
int CropBaseCPUKernel::Init() { return RET_OK; } int CropBaseCPUKernel::Init() { return RET_OK; }
kernel::LiteKernel *CpuCropInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Crop);
auto *kernel = new (std::nothrow) CropInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new CropCPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
int CropBaseCPUKernel::ReSize() { int CropBaseCPUKernel::ReSize() {
auto *input_tensor = in_tensors_.at(kInputIndex); auto *input_tensor = in_tensors_.at(kInputIndex);
auto input_shape = input_tensor->shape(); auto input_shape = input_tensor->shape();
@ -155,7 +130,6 @@ kernel::LiteKernel *CpuCropFp32KernelCreator(const std::vector<lite::Tensor *> &
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Crop, CpuCropInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Crop, CpuCropInt32KernelCreator) REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Crop, CpuCropInt32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Crop, CpuCropFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Crop, CpuCropFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

28
mindspore/lite/src/runtime/kernel/arm/base/depth_to_space_base.cc
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@ -16,7 +16,6 @@
#include "src/runtime/kernel/arm/base/depth_to_space_base.h" #include "src/runtime/kernel/arm/base/depth_to_space_base.h"
#include "nnacl/depth_to_space.h" #include "nnacl/depth_to_space.h"
#include "src/runtime/kernel/arm/fp32/depth_to_space.h" #include "src/runtime/kernel/arm/fp32/depth_to_space.h"
#include "src/runtime/kernel/arm/int8/depth_to_space_int8.h"
#include "nnacl/arithmetic_common.h" #include "nnacl/arithmetic_common.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
@ -61,32 +60,6 @@ int DepthToSpaceBaseCPUKernel::ReSize() {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuDepthToSpaceInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs,
OpParameter *op_parameter, const lite::InnerContext *ctx,
const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
MS_ASSERT(desc.type == schema::PrimitiveType_DepthToSpace);
if (op_parameter == nullptr) {
MS_LOG(ERROR) << "Input op_parameter is nullptr!";
return nullptr;
}
auto *kernel = new (std::nothrow) DepthToSpaceInt8CPUKernel(op_parameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new BatchToSpaceInt8CPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << op_parameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(op_parameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuDepthToSpaceFp32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuDepthToSpaceFp32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, const std::vector<lite::Tensor *> &outputs,
OpParameter *op_parameter, const lite::InnerContext *ctx, OpParameter *op_parameter, const lite::InnerContext *ctx,
@ -115,5 +88,4 @@ kernel::LiteKernel *CpuDepthToSpaceFp32KernelCreator(const std::vector<lite::Ten
} }
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_DepthToSpace, CpuDepthToSpaceFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_DepthToSpace, CpuDepthToSpaceFp32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_DepthToSpace, CpuDepthToSpaceInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

23
mindspore/lite/src/runtime/kernel/arm/base/fullconnection_base.cc
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@ -14,7 +14,6 @@
* limitations under the License. * limitations under the License.
*/ */
#include "src/runtime/kernel/arm/base/fullconnection_base.h" #include "src/runtime/kernel/arm/base/fullconnection_base.h"
#include "src/runtime/kernel/arm/int8/fullconnection_int8.h"
#include "src/runtime/kernel/arm/fp32/fullconnection.h" #include "src/runtime/kernel/arm/fp32/fullconnection.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
@ -33,27 +32,6 @@ int FullconnectionBaseCPUKernel::Init() {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuFullConnectionInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs,
OpParameter *opParameter, const lite::InnerContext *ctx,
const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
MS_ASSERT(opParameter != nullptr);
MS_ASSERT(desc.type == schema::PrimitiveType_Concat);
auto kernel = new (std::nothrow) FullconnectionInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (!kernel) {
MS_LOG(ERROR) << "kernel is nullptr.";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuFullConnectionFp32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuFullConnectionFp32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, const std::vector<lite::Tensor *> &outputs,
OpParameter *opParameter, const lite::InnerContext *ctx, OpParameter *opParameter, const lite::InnerContext *ctx,
@ -100,6 +78,5 @@ kernel::LiteKernel *CpuFullConnectionFp32KernelCreator(const std::vector<lite::T
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_FullConnection, CpuFullConnectionInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_FullConnection, CpuFullConnectionFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_FullConnection, CpuFullConnectionFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

27
mindspore/lite/src/runtime/kernel/arm/base/leaky_relu_base.cc
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@ -15,7 +15,6 @@
*/ */
#include "src/runtime/kernel/arm/base/leaky_relu_base.h" #include "src/runtime/kernel/arm/base/leaky_relu_base.h"
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/int8/leaky_relu_int8.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
#include "include/errorcode.h" #include "include/errorcode.h"
@ -29,30 +28,4 @@ using mindspore::schema::PrimitiveType_LeakyReLU;
namespace mindspore::kernel { namespace mindspore::kernel {
int LeakyReluBaseCPUKernel::Init() { return RET_OK; } int LeakyReluBaseCPUKernel::Init() { return RET_OK; }
kernel::LiteKernel *CpuLeakyReluInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
auto *kernel = new (std::nothrow) LeakyReluInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new LeakyReluInt8CPUKernel fail!";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_LeakyReLU, CpuLeakyReluInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

37
mindspore/lite/src/runtime/kernel/arm/base/matmul_base.cc
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@ -15,11 +15,9 @@
*/ */
#include "src/runtime/kernel/arm/base/matmul_base.h" #include "src/runtime/kernel/arm/base/matmul_base.h"
#include "src/runtime/kernel/arm/fp32/matmul.h" #include "src/runtime/kernel/arm/fp32/matmul.h"
#include "src/runtime/kernel/arm/int8/matmul_int8.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
#include "include/errorcode.h" #include "include/errorcode.h"
#include "include/context.h" #include "include/context.h"
#include "src/runtime/kernel/arm/base/dequant.h"
using mindspore::lite::KernelRegistrar; using mindspore::lite::KernelRegistrar;
using mindspore::lite::RET_ERROR; using mindspore::lite::RET_ERROR;
@ -34,35 +32,14 @@ kernel::LiteKernel *CpuMatmulKernelCreator(const std::vector<lite::Tensor *> &in
MS_ASSERT(opParameter != nullptr); MS_ASSERT(opParameter != nullptr);
MS_ASSERT(desc.type == schema::PrimitiveType_Concat); MS_ASSERT(desc.type == schema::PrimitiveType_Concat);
auto *weight_tensor = inputs.at(kWeightIndex);
auto *restore_data = weight_tensor->data_c();
auto is_const_quant_weight =
(restore_data != nullptr) &&
((weight_tensor->data_type() == kNumberTypeInt8 || weight_tensor->data_type() == kNumberTypeInt16));
if (is_const_quant_weight) {
auto *dequant_weight = kernel::DequantUtil::DequantWeight(weight_tensor);
if (dequant_weight == nullptr) {
MS_LOG(ERROR) << "dequant data is nullptr.";
free(opParameter);
return nullptr;
}
weight_tensor->SetData(dequant_weight);
}
auto input_tensor = inputs.at(kInputIndex); auto input_tensor = inputs.at(kInputIndex);
auto data_type = input_tensor->data_type(); auto data_type = input_tensor->data_type();
kernel::LiteKernel *kernel = nullptr; kernel::LiteKernel *kernel = nullptr;
if (data_type == kNumberTypeInt8) { if (data_type == kNumberTypeFloat32) {
kernel = new (std::nothrow) MatmulInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
} else {
kernel = new (std::nothrow) MatmulCPUKernel(opParameter, inputs, outputs, ctx, primitive); kernel = new (std::nothrow) MatmulCPUKernel(opParameter, inputs, outputs, ctx, primitive);
} }
if (kernel == nullptr) { if (kernel == nullptr) {
MS_LOG(ERROR) << "kernel is nullptr."; MS_LOG(ERROR) << "kernel is nullptr.";
if (is_const_quant_weight) {
weight_tensor->FreeData();
weight_tensor->SetData(restore_data);
}
free(opParameter); free(opParameter);
return nullptr; return nullptr;
} }
@ -71,21 +48,9 @@ kernel::LiteKernel *CpuMatmulKernelCreator(const std::vector<lite::Tensor *> &in
delete kernel; delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: " MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_)); << schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
if (is_const_quant_weight) {
weight_tensor->FreeData();
weight_tensor->SetData(restore_data);
}
return nullptr; return nullptr;
} }
if (is_const_quant_weight) {
weight_tensor->FreeData();
weight_tensor->SetData(restore_data);
}
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_MatMul, CpuMatmulKernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_MatMul, CpuMatmulKernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_MatMul, CpuMatmulKernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

24
mindspore/lite/src/runtime/kernel/arm/base/pad.cc
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@ -15,7 +15,6 @@
*/ */
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/fp32/pad.h" #include "src/runtime/kernel/arm/fp32/pad.h"
#include "src/runtime/kernel/arm/int8/pad_int8.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
#include "include/errorcode.h" #include "include/errorcode.h"
@ -28,28 +27,6 @@ using mindspore::schema::PrimitiveType_Pad;
namespace mindspore::kernel { namespace mindspore::kernel {
kernel::LiteKernel *CpuPadInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
MS_ASSERT(opParameter != nullptr);
MS_ASSERT(desc.type == schema::PrimitiveType_Pad);
auto *kernel = new (std::nothrow) PadInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new PadCPUKernel failed.";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuPadFp32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuPadFp32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter, const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc, const lite::InnerContext *ctx, const kernel::KernelKey &desc,
@ -72,6 +49,5 @@ kernel::LiteKernel *CpuPadFp32KernelCreator(const std::vector<lite::Tensor *> &i
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Pad, CpuPadInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Pad, CpuPadFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Pad, CpuPadFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

27
mindspore/lite/src/runtime/kernel/arm/base/pooling_base.cc
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@ -15,7 +15,6 @@
*/ */
#include "src/runtime/kernel/arm/base/pooling_base.h" #include "src/runtime/kernel/arm/base/pooling_base.h"
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/int8/pooling_int8.h"
#include "src/runtime/kernel/arm/fp32/pooling.h" #include "src/runtime/kernel/arm/fp32/pooling.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
@ -103,31 +102,6 @@ int PoolingBaseCPUKernel::ReSize() {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuPoolingInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Pooling);
auto *kernel = new (std::nothrow) PoolingInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new PoolingInt8CPUKernel fail!";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuPoolingFp32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuPoolingFp32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter, const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc, const InnerContext *ctx, const kernel::KernelKey &desc,
@ -153,6 +127,5 @@ kernel::LiteKernel *CpuPoolingFp32KernelCreator(const std::vector<lite::Tensor *
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Pooling, CpuPoolingInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Pooling, CpuPoolingFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Pooling, CpuPoolingFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

27
mindspore/lite/src/runtime/kernel/arm/base/power_base.cc
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@ -15,7 +15,6 @@
*/ */
#include "src/runtime/kernel/arm/base/power_base.h" #include "src/runtime/kernel/arm/base/power_base.h"
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/int8/power_int8.h"
#include "src/runtime/kernel/arm/fp32/power.h" #include "src/runtime/kernel/arm/fp32/power.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
@ -31,31 +30,6 @@ int PowerBaseCPUKernel::Init() { return RET_OK; }
int PowerBaseCPUKernel::ReSize() { return RET_OK; } int PowerBaseCPUKernel::ReSize() { return RET_OK; }
kernel::LiteKernel *CpuPowerInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Power);
auto *kernel = new (std::nothrow) PowerInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new PowerInt8CPUKernel fail!";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuPowerFp32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuPowerFp32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter, const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc, const lite::InnerContext *ctx, const kernel::KernelKey &desc,
@ -78,6 +52,5 @@ kernel::LiteKernel *CpuPowerFp32KernelCreator(const std::vector<lite::Tensor *>
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Power, CpuPowerInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Power, CpuPowerFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Power, CpuPowerFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

35
mindspore/lite/src/runtime/kernel/arm/base/reduce_base.cc
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@ -20,7 +20,6 @@
#include "include/errorcode.h" #include "include/errorcode.h"
#include "src/runtime/runtime_api.h" #include "src/runtime/runtime_api.h"
#include "src/runtime/kernel/arm/fp32/reduce.h" #include "src/runtime/kernel/arm/fp32/reduce.h"
#include "src/runtime/kernel/arm/int8/reduce_int8.h"
using mindspore::kernel::KERNEL_ARCH::kCPU; using mindspore::kernel::KERNEL_ARCH::kCPU;
using mindspore::lite::KernelRegistrar; using mindspore::lite::KernelRegistrar;
@ -231,41 +230,9 @@ kernel::LiteKernel *CpuMeanFp32KernelCreator(const std::vector<lite::Tensor *> &
return kernel; return kernel;
} }
kernel::LiteKernel *CpuReduceInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
MS_ASSERT(opParameter != nullptr);
MS_ASSERT(desc.type == schema::PrimitiveType_Reduce);
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Reduce opParameter nullptr";
return nullptr;
}
if (desc.type != schema::PrimitiveType_Reduce) {
MS_LOG(ERROR) << "Reduce op desc.type should be PrimitiveType_Reduce, got " << desc.type;
free(opParameter);
return nullptr;
}
auto *kernel = new (std::nothrow) ReduceInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "Reduce new ReduceCPUKernel failed.";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
delete kernel;
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Reduce, CpuReduceFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Reduce, CpuReduceFp32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt, PrimitiveType_Reduce, CpuReduceFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeInt, PrimitiveType_Reduce, CpuReduceFp32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Reduce, CpuReduceFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Reduce, CpuReduceFp32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Mean, CpuMeanFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Mean, CpuMeanFp32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Reduce, CpuReduceInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Mean, CpuReduceInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

27
mindspore/lite/src/runtime/kernel/arm/base/reshape_base.cc
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@ -15,7 +15,6 @@
*/ */
#include "src/runtime/kernel/arm/base/reshape_base.h" #include "src/runtime/kernel/arm/base/reshape_base.h"
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/int8/reshape_int8.h"
#include "src/runtime/kernel/arm/fp32/reshape.h" #include "src/runtime/kernel/arm/fp32/reshape.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
@ -30,31 +29,6 @@ using mindspore::schema::PrimitiveType_Reshape;
namespace mindspore::kernel { namespace mindspore::kernel {
int ReshapeBaseCPUKernel::Init() { return RET_OK; } int ReshapeBaseCPUKernel::Init() { return RET_OK; }
kernel::LiteKernel *CpuReshapeInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Reshape);
auto *kernel = new (std::nothrow) ReshapeInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new ReshapeInt8CPUKernel fail!";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuReshapeInt32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuReshapeInt32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter, const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc, const InnerContext *ctx, const kernel::KernelKey &desc,
@ -105,7 +79,6 @@ kernel::LiteKernel *CpuReshapeFp32KernelCreator(const std::vector<lite::Tensor *
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Reshape, CpuReshapeInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Reshape, CpuReshapeInt32KernelCreator) REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Reshape, CpuReshapeInt32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Reshape, CpuReshapeFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Reshape, CpuReshapeFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

28
mindspore/lite/src/runtime/kernel/arm/base/resize_base.cc
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@ -20,7 +20,6 @@
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
#include "include/errorcode.h" #include "include/errorcode.h"
#include "src/runtime/kernel/arm/fp32/resize.h" #include "src/runtime/kernel/arm/fp32/resize.h"
#include "src/runtime/kernel/arm/int8/resize_int8.h"
using mindspore::lite::KernelRegistrar; using mindspore::lite::KernelRegistrar;
using mindspore::lite::RET_ERROR; using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_INVALID_OP_ATTR; using mindspore::lite::RET_INVALID_OP_ATTR;
@ -154,32 +153,5 @@ kernel::LiteKernel *CpuResizeFp32KernelCreator(const std::vector<lite::Tensor *>
return kernel; return kernel;
} }
kernel::LiteKernel *CpuResizeInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Resize);
auto *kernel = new (std::nothrow) ResizeInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new ResizeCPUKernel fail!";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Resize, CpuResizeInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Resize, CpuResizeFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Resize, CpuResizeFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

27
mindspore/lite/src/runtime/kernel/arm/base/softmax_base.cc
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@ -16,7 +16,6 @@
#include "src/runtime/kernel/arm/base/softmax_base.h" #include "src/runtime/kernel/arm/base/softmax_base.h"
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/int8/softmax_int8.h"
#include "src/runtime/kernel/arm/fp32/softmax.h" #include "src/runtime/kernel/arm/fp32/softmax.h"
#include "nnacl/fp32/softmax.h" #include "nnacl/fp32/softmax.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
@ -56,31 +55,6 @@ int SoftmaxBaseCPUKernel::ReSize() {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuSoftmaxInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_SoftMax);
auto *kernel = new (std::nothrow) SoftmaxInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new SoftmaxCPUKernel fail!";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuSoftmaxFp32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuSoftmaxFp32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter, const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc, const lite::InnerContext *ctx, const kernel::KernelKey &desc,
@ -106,6 +80,5 @@ kernel::LiteKernel *CpuSoftmaxFp32KernelCreator(const std::vector<lite::Tensor *
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_SoftMax, CpuSoftmaxInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_SoftMax, CpuSoftmaxFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_SoftMax, CpuSoftmaxFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

27
mindspore/lite/src/runtime/kernel/arm/base/split_base.cc
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@ -15,7 +15,6 @@
*/ */
#include "src/runtime/kernel/arm/base/split_base.h" #include "src/runtime/kernel/arm/base/split_base.h"
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/int8/split_int8.h"
#include "src/runtime/kernel/arm/fp32/split.h" #include "src/runtime/kernel/arm/fp32/split.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
@ -72,31 +71,6 @@ int SplitBaseCPUKernel::ReSize() {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuSplitInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Split);
auto *kernel = new (std::nothrow) SplitInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new SplitCPUKernel fail!";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
kernel::LiteKernel *CpuSplitInt32KernelCreator(const std::vector<lite::Tensor *> &inputs, kernel::LiteKernel *CpuSplitInt32KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter, const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc, const InnerContext *ctx, const kernel::KernelKey &desc,
@ -147,7 +121,6 @@ kernel::LiteKernel *CpuSplitFp32KernelCreator(const std::vector<lite::Tensor *>
return kernel; return kernel;
} }
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Split, CpuSplitInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Split, CpuSplitInt32KernelCreator) REG_KERNEL(kCPU, kNumberTypeInt32, PrimitiveType_Split, CpuSplitInt32KernelCreator)
REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Split, CpuSplitFp32KernelCreator) REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_Split, CpuSplitFp32KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

27
mindspore/lite/src/runtime/kernel/arm/base/squeeze_base.cc
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@ -15,7 +15,6 @@
*/ */
#include "src/runtime/kernel/arm/base/squeeze_base.h" #include "src/runtime/kernel/arm/base/squeeze_base.h"
#include <vector> #include <vector>
#include "src/runtime/kernel/arm/int8/squeeze_int8.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "src/kernel_registry.h" #include "src/kernel_registry.h"
#include "include/errorcode.h" #include "include/errorcode.h"
@ -29,30 +28,4 @@ using mindspore::schema::PrimitiveType_Squeeze;
namespace mindspore::kernel { namespace mindspore::kernel {
int SqueezeBaseCPUKernel::Init() { return RET_OK; } int SqueezeBaseCPUKernel::Init() { return RET_OK; }
kernel::LiteKernel *CpuSqueezeInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Squeeze);
auto *kernel = new (std::nothrow) SqueezeInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new SqueezeCPUKernel fail!";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Squeeze, CpuSqueezeInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

34
mindspore/lite/src/runtime/kernel/arm/int8/argminmax_int8.cc
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@ -23,6 +23,12 @@
using mindspore::lite::RET_ERROR; using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_OK; using mindspore::lite::RET_OK;
using mindspore::lite::KernelRegistrar;
using mindspore::lite::RET_FORMAT_ERR;
using mindspore::lite::RET_PARAM_INVALID;
using mindspore::schema::PrimitiveType_ArgMax;
using mindspore::schema::PrimitiveType_ArgMin;
namespace mindspore::kernel { namespace mindspore::kernel {
int ArgMinMaxInt8CPUKernel::Init() { int ArgMinMaxInt8CPUKernel::Init() {
auto ret = ArgMinMaxBaseCPUKernel::Init(); auto ret = ArgMinMaxBaseCPUKernel::Init();
@ -77,4 +83,32 @@ int ArgMinMaxInt8CPUKernel::Run() {
} }
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuArgMinMaxInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *op_parameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (op_parameter == nullptr) {
MS_LOG(ERROR) << "Input op_parameter is nullptr!";
return nullptr;
}
auto kernel = new (std::nothrow) ArgMinMaxInt8CPUKernel(op_parameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new ArgMinMaxInt8CPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << op_parameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(op_parameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_ArgMax, CpuArgMinMaxInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_ArgMin, CpuArgMinMaxInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

33
mindspore/lite/src/runtime/kernel/arm/int8/batch_to_space_int8.cc
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@ -23,6 +23,12 @@
using mindspore::lite::RET_OK; using mindspore::lite::RET_OK;
using mindspore::lite::KernelRegistrar;
using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_FORMAT_ERR;
using mindspore::schema::PrimitiveType_BatchToSpace;
using mindspore::schema::PrimitiveType_BatchToSpaceND;
namespace mindspore::kernel { namespace mindspore::kernel {
int BatchToSpaceInt8CPUKernel::Init() { int BatchToSpaceInt8CPUKernel::Init() {
auto ret = BatchToSpaceBaseCPUKernel::Init(); auto ret = BatchToSpaceBaseCPUKernel::Init();
@ -75,4 +81,31 @@ int BatchToSpaceInt8CPUKernel::Run() {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuBatchToSpaceInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs,
OpParameter *op_parameter, const lite::InnerContext *ctx,
const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (op_parameter == nullptr) {
MS_LOG(ERROR) << "Input op_parameter is nullptr!";
return nullptr;
}
auto *kernel = new (std::nothrow) BatchToSpaceInt8CPUKernel(op_parameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new BatchToSpaceInt8CPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << op_parameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(op_parameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_BatchToSpace, CpuBatchToSpaceInt8KernelCreator)
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_BatchToSpaceND, CpuBatchToSpaceInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

31
mindspore/lite/src/runtime/kernel/arm/int8/concat_int8.cc
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@ -19,11 +19,15 @@
#include "nnacl/int8/concat_int8.h" #include "nnacl/int8/concat_int8.h"
#include "schema/model_generated.h" #include "schema/model_generated.h"
#include "include/errorcode.h" #include "include/errorcode.h"
#include "src/kernel_registry.h"
using mindspore::kernel::KERNEL_ARCH::kCPU; using mindspore::kernel::KERNEL_ARCH::kCPU;
using mindspore::lite::RET_ERROR; using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_OK; using mindspore::lite::RET_OK;
using mindspore::lite::KernelRegistrar;
using mindspore::schema::PrimitiveType_Concat;
namespace mindspore::kernel { namespace mindspore::kernel {
int ConcatInt8CPUKernel::Init() { int ConcatInt8CPUKernel::Init() {
@ -136,4 +140,31 @@ int ConcatInt8CPUKernel::DoExecute(int task_id) {
Int8Concat(input_data_, output_data_, concat_param_, axis_, real_dst_count, task_id); Int8Concat(input_data_, output_data_, concat_param_, axis_, real_dst_count, task_id);
return lite::RET_OK; return lite::RET_OK;
} }
kernel::LiteKernel *CpuConcatInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Concat);
auto *kernel = new (std::nothrow) ConcatInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new ConcatCPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Concat, CpuConcatInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

29
mindspore/lite/src/runtime/kernel/arm/int8/crop_int8.cc
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@ -19,12 +19,16 @@
#include "nnacl/int8/crop_int8.h" #include "nnacl/int8/crop_int8.h"
#include "include/errorcode.h" #include "include/errorcode.h"
#include "src/runtime/runtime_api.h" #include "src/runtime/runtime_api.h"
#include "src/kernel_registry.h"
using mindspore::kernel::KERNEL_ARCH::kCPU; using mindspore::kernel::KERNEL_ARCH::kCPU;
using mindspore::lite::RET_ERROR; using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_MEMORY_FAILED; using mindspore::lite::RET_MEMORY_FAILED;
using mindspore::lite::RET_OK; using mindspore::lite::RET_OK;
using mindspore::lite::KernelRegistrar;
using mindspore::schema::PrimitiveType_Crop;
namespace mindspore::kernel { namespace mindspore::kernel {
int CropInt8CPUKernel::Init() { int CropInt8CPUKernel::Init() {
@ -84,4 +88,29 @@ int CropInt8CPUKernel::DoExecute(int task_id) {
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuCropInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
MS_ASSERT(desc.type == schema::PrimitiveType_Crop);
auto *kernel = new (std::nothrow) CropInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new CropCPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_Crop, CpuCropInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

33
mindspore/lite/src/runtime/kernel/arm/int8/depth_to_space_int8.cc
Unescape View File

@ -24,6 +24,11 @@
using mindspore::lite::RET_ERROR; using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_OK; using mindspore::lite::RET_OK;
using mindspore::lite::KernelRegistrar;
using mindspore::lite::RET_FORMAT_ERR;
using mindspore::lite::RET_PARAM_INVALID;
using mindspore::schema::PrimitiveType_DepthToSpace;
namespace mindspore::kernel { namespace mindspore::kernel {
int DepthToSpaceInt8CPUKernel::Init() { int DepthToSpaceInt8CPUKernel::Init() {
auto ret = DepthToSpaceBaseCPUKernel::Init(); auto ret = DepthToSpaceBaseCPUKernel::Init();
@ -64,4 +69,32 @@ int DepthToSpaceInt8CPUKernel::Run() {
} }
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuDepthToSpaceInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs,
OpParameter *op_parameter, const lite::InnerContext *ctx,
const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
MS_ASSERT(desc.type == schema::PrimitiveType_DepthToSpace);
if (op_parameter == nullptr) {
MS_LOG(ERROR) << "Input op_parameter is nullptr!";
return nullptr;
}
auto *kernel = new (std::nothrow) DepthToSpaceInt8CPUKernel(op_parameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new BatchToSpaceInt8CPUKernel fail!";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << op_parameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(op_parameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_DepthToSpace, CpuDepthToSpaceInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

28
mindspore/lite/src/runtime/kernel/arm/int8/fullconnection_int8.cc
Unescape View File

@ -19,10 +19,16 @@
#include "nnacl/common_func.h" #include "nnacl/common_func.h"
#include "src/runtime/runtime_api.h" #include "src/runtime/runtime_api.h"
#include "include/errorcode.h" #include "include/errorcode.h"
#include "src/kernel_registry.h"
using mindspore::lite::RET_MEMORY_FAILED; using mindspore::lite::RET_MEMORY_FAILED;
using mindspore::lite::RET_OK; using mindspore::lite::RET_OK;
using mindspore::lite::KernelRegistrar;
using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_OK;
using mindspore::schema::PrimitiveType_FullConnection;
namespace mindspore::kernel { namespace mindspore::kernel {
int FullconnectionInt8CPUKernel::Init() { int FullconnectionInt8CPUKernel::Init() {
if (!InferShapeDone()) { if (!InferShapeDone()) {
@ -150,5 +156,27 @@ int FullconnectionInt8CPUKernel::Run() {
} }
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuFullConnectionInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs,
OpParameter *opParameter, const lite::InnerContext *ctx,
const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
MS_ASSERT(opParameter != nullptr);
MS_ASSERT(desc.type == schema::PrimitiveType_Concat);
auto kernel = new (std::nothrow) FullconnectionInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (!kernel) {
MS_LOG(ERROR) << "kernel is nullptr.";
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_FullConnection, CpuFullConnectionInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

28
mindspore/lite/src/runtime/kernel/arm/int8/leaky_relu_int8.cc
Unescape View File

@ -29,6 +29,9 @@ using mindspore::lite::RET_ERROR;
using mindspore::lite::RET_MEMORY_FAILED; using mindspore::lite::RET_MEMORY_FAILED;
using mindspore::lite::RET_OK; using mindspore::lite::RET_OK;
using mindspore::lite::KernelRegistrar;
using mindspore::schema::PrimitiveType_LeakyReLU;
namespace mindspore::kernel { namespace mindspore::kernel {
namespace { namespace {
int LeakyReluInt8Run(void *cdata, int task_id) { int LeakyReluInt8Run(void *cdata, int task_id) {
@ -134,5 +137,30 @@ int LeakyReluInt8CPUKernel::DoExecute(int task_id) {
} }
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuLeakyReluInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
if (opParameter == nullptr) {
MS_LOG(ERROR) << "Input opParameter is nullptr!";
return nullptr;
}
auto *kernel = new (std::nothrow) LeakyReluInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
if (kernel == nullptr) {
MS_LOG(ERROR) << "new LeakyReluInt8CPUKernel fail!";
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
return nullptr;
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_LeakyReLU, CpuLeakyReluInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

64
mindspore/lite/src/runtime/kernel/arm/int8/matmul_int8.cc
Unescape View File

@ -19,10 +19,16 @@
#include "nnacl/common_func.h" #include "nnacl/common_func.h"
#include "src/runtime/runtime_api.h" #include "src/runtime/runtime_api.h"
#include "include/errorcode.h" #include "include/errorcode.h"
#include "src/kernel_registry.h"
#include "src/runtime/kernel/arm/base/dequant.h"
using mindspore::lite::RET_MEMORY_FAILED; using mindspore::lite::RET_MEMORY_FAILED;
using mindspore::lite::RET_OK; using mindspore::lite::RET_OK;
using mindspore::lite::KernelRegistrar;
using mindspore::lite::RET_ERROR;
using mindspore::schema::PrimitiveType_MatMul;
namespace mindspore::kernel { namespace mindspore::kernel {
MatmulInt8CPUKernel::~MatmulInt8CPUKernel() { FreeTmpBuffer(); } MatmulInt8CPUKernel::~MatmulInt8CPUKernel() { FreeTmpBuffer(); }
@ -193,4 +199,62 @@ int MatmulInt8CPUKernel::Run() {
} }
return RET_OK; return RET_OK;
} }
kernel::LiteKernel *CpuMatmulInt8KernelCreator(const std::vector<lite::Tensor *> &inputs,
const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
const lite::InnerContext *ctx, const kernel::KernelKey &desc,
const mindspore::lite::PrimitiveC *primitive) {
MS_ASSERT(opParameter != nullptr);
MS_ASSERT(desc.type == schema::PrimitiveType_Concat);
auto *weight_tensor = inputs.at(kWeightIndex);
auto *restore_data = weight_tensor->data_c();
auto is_const_quant_weight =
(restore_data != nullptr) &&
((weight_tensor->data_type() == kNumberTypeInt8 || weight_tensor->data_type() == kNumberTypeInt16));
if (is_const_quant_weight) {
auto *dequant_weight = kernel::DequantUtil::DequantWeight(weight_tensor);
if (dequant_weight == nullptr) {
MS_LOG(ERROR) << "dequant data is nullptr.";
free(opParameter);
return nullptr;
}
weight_tensor->SetData(dequant_weight);
}
auto input_tensor = inputs.at(kInputIndex);
auto data_type = input_tensor->data_type();
kernel::LiteKernel *kernel = nullptr;
if (data_type == kNumberTypeInt8) {
kernel = new (std::nothrow) MatmulInt8CPUKernel(opParameter, inputs, outputs, ctx, primitive);
}
if (kernel == nullptr) {
MS_LOG(ERROR) << "kernel is nullptr.";
if (is_const_quant_weight) {
weight_tensor->FreeData();
weight_tensor->SetData(restore_data);
}
free(opParameter);
return nullptr;
}
auto ret = kernel->Init();
if (ret != RET_OK) {
delete kernel;
MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
if (is_const_quant_weight) {
weight_tensor->FreeData();
weight_tensor->SetData(restore_data);
}
return nullptr;
}
if (is_const_quant_weight) {
weight_tensor->FreeData();
weight_tensor->SetData(restore_data);
}
return kernel;
}
REG_KERNEL(kCPU, kNumberTypeInt8, PrimitiveType_MatMul, CpuMatmulInt8KernelCreator)
} // namespace mindspore::kernel } // namespace mindspore::kernel

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