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!6814 [MSLITE][Develop] conv1x1 parallel by hw 

Merge pull request !6814 from ling/conv1x1
This commit is contained in:
mindspore-ci-bot 2020-09-24 14:25:35 +08:00 committed by Gitee
parent 2e1742ead7 23f0179b5f
commit 510959e3bd
3 changed files with 67 additions and 28 deletions
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2
mindspore/lite/src/runtime/kernel/arm/fp16/convolution_fp16.cc
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@ -213,7 +213,7 @@ kernel::LiteKernel *CpuConvFp16KernelCreator(const std::vector<lite::Tensor *> &
kernel::LiteKernel *kernel = nullptr;
if (kernel_h == 3 && kernel_w == 3 && stride_h == 1 && stride_w == 1 && dilation_h == 1 && dilation_w == 1) {
kernel = new (std::nothrow) kernel::Convolution3x3FP16CPUKernel(opParameter, inputs, outputs, ctx, primitive);
kernel = new (std::nothrow) kernel::ConvolutionFP16CPUKernel(opParameter, inputs, outputs, ctx, primitive);
} else if (kernel_h == 1 && kernel_w == 1) {
kernel = new (std::nothrow) kernel::Convolution1x1FP16CPUKernel(opParameter, inputs, outputs, ctx, primitive);
} else {

88
mindspore/lite/src/runtime/kernel/arm/fp32/convolution_1x1.cc
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@ -95,12 +95,22 @@ int Convolution1x1CPUKernel::InitConv1x1BiasWeight() {
}
int Convolution1x1CPUKernel::InitConv1x1Param() {
pre_trans_input_ = (conv_param_->pad_u_ != 0 || conv_param_->pad_l_ != 0 || conv_param_->stride_h_ != 1 ||
conv_param_->stride_w_ != 1);
int hw_tile = C12NUM;
#ifdef ENABLE_ARM32
hw_tile = C4NUM;
#endif
if ((matmul_param_->row_ > (hw_tile * op_parameter_->thread_num_)) && (matmul_param_->row_ > matmul_param_->col_)) {
multi_thread_by_hw_ = true;
thread_count_ = MSMIN(op_parameter_->thread_num_, UP_DIV(matmul_param_->row_, hw_tile));
thread_stride_ = UP_DIV(UP_DIV(matmul_param_->row_, hw_tile), thread_count_) * hw_tile;
} else {
multi_thread_by_hw_ = false;
thread_count_ = MSMIN(op_parameter_->thread_num_, UP_DIV(matmul_param_->col_, C8NUM));
thread_stride_ = UP_DIV(UP_DIV(matmul_param_->col_, C8NUM), thread_count_) * C8NUM;
}
pre_trans_input_ = (conv_param_->pad_u_ != 0 || conv_param_->pad_l_ != 0 || conv_param_->stride_h_ != 1 ||
conv_param_->stride_w_ != 1);
if (pre_trans_input_) {
input_ptr_ = reinterpret_cast<float *>(malloc(matmul_param_->row_ * matmul_param_->deep_ * sizeof(float)));
if (input_ptr_ == nullptr) {
@ -113,22 +123,6 @@ int Convolution1x1CPUKernel::InitConv1x1Param() {
return RET_OK;
}
void Convolution1x1CPUKernel::Pre1x1Trans(float *src_input, float *src_output) {
output_ptr_ = src_output;
if (pre_trans_input_) {
Conv1x1InputPack(src_input, input_ptr_, conv_param_, sizeof(float));
} else {
input_ptr_ = src_input;
}
#ifdef ENABLE_ARM32
RowMajor2Col4Major(input_ptr_, pack_input_, matmul_param_->row_, matmul_param_->deep_);
#else
RowMajor2Col12Major(input_ptr_, pack_input_, matmul_param_->row_, matmul_param_->deep_);
#endif
return;
}
int Convolution1x1CPUKernel::Init() {
int error_code = InitConv1x1BiasWeight();
if (error_code != RET_OK) {
@ -164,6 +158,40 @@ int Convolution1x1Run(void *cdata, int task_id) {
return RET_OK;
}
int Convolution1x1CPUKernel::DoConv1x1Hw(int task_id) {
int res_stride = matmul_param_->row_ - task_id * thread_stride_;
int cur_hw_ = MSMIN(thread_stride_, res_stride);
if (cur_hw_ <= 0) {
return RET_OK;
}
float *thread_input_ptr = input_ptr_ + task_id * thread_stride_ * matmul_param_->deep_;
float *thread_pack_input = pack_input_ + task_id * thread_stride_ * matmul_param_->deep_;
#ifdef ENABLE_ARM32
RowMajor2Col4Major(thread_input_ptr, thread_pack_input, cur_hw_, matmul_param_->deep_);
#else
RowMajor2Col12Major(thread_input_ptr, thread_pack_input, cur_hw_, matmul_param_->deep_);
#endif
float *thread_output_ptr = output_ptr_ + task_id * thread_stride_ * matmul_param_->col_;
MatMulOpt(thread_pack_input, weight_ptr_, thread_output_ptr, reinterpret_cast<float *>(bias_data_),
matmul_param_->act_type_, matmul_param_->deep_, cur_hw_, matmul_param_->col_, matmul_param_->col_,
OutType_Nhwc);
return RET_OK;
}
int Convolution1x1RunHw(void *cdata, int task_id) {
auto conv1x1 = reinterpret_cast<Convolution1x1CPUKernel *>(cdata);
auto error_code = conv1x1->DoConv1x1Hw(task_id);
if (error_code != RET_OK) {
MS_LOG(ERROR) << "Convolution1x1Run error task_id[" << task_id << "] error_code[" << error_code << "]";
return RET_ERROR;
}
return RET_OK;
}
int Convolution1x1CPUKernel::Run() {
auto prepare_ret = Prepare();
if (prepare_ret != RET_OK) {
@ -186,13 +214,23 @@ int Convolution1x1CPUKernel::Run() {
}
for (int batch_index = 0; batch_index < conv_param_->input_batch_; batch_index++) {
Pre1x1Trans(src_in + batch_index * conv_param_->input_h_ * conv_param_->input_w_ * conv_param_->input_channel_,
src_out + batch_index * matmul_param_->row_ * matmul_param_->col_);
output_ptr_ = src_out + batch_index * matmul_param_->row_ * matmul_param_->col_;
auto tmp_in = src_in + batch_index * conv_param_->input_h_ * conv_param_->input_w_ * conv_param_->input_channel_;
if (pre_trans_input_) {
Conv1x1InputPack(tmp_in, input_ptr_, conv_param_, sizeof(float));
} else {
input_ptr_ = tmp_in;
}
int error_code = ParallelLaunch(this->context_->thread_pool_, Convolution1x1Run, this, thread_count_);
if (error_code != RET_OK) {
MS_LOG(ERROR) << "conv1x1 strassen error error_code[" << error_code << "]";
return RET_ERROR;
if (multi_thread_by_hw_) {
ParallelLaunch(this->context_->thread_pool_, Convolution1x1RunHw, this, thread_count_);
} else {
#ifdef ENABLE_ARM32
RowMajor2Col4Major(input_ptr_, pack_input_, matmul_param_->row_, matmul_param_->deep_);
#else
RowMajor2Col12Major(input_ptr_, pack_input_, matmul_param_->row_, matmul_param_->deep_);
#endif
ParallelLaunch(this->context_->thread_pool_, Convolution1x1Run, this, thread_count_);
}
}

3
mindspore/lite/src/runtime/kernel/arm/fp32/convolution_1x1.h
View File

@ -49,17 +49,18 @@ class Convolution1x1CPUKernel : public ConvolutionBaseCPUKernel {
public:
int DoConv1x1(int task_id);
int DoConv1x1Hw(int task_id);
private:
int InitConv1x1Param();
int InitConv1x1BiasWeight();
void InitConv1x1MatmulParam();
void Pre1x1Trans(float *src_input, float *src_output);
void FreeTmpBuffer();
private:
MatMulParameter *matmul_param_ = nullptr;
bool pre_trans_input_ = false;
bool multi_thread_by_hw_ = false;
int thread_count_ = 0;
int thread_stride_ = 0;
float *weight_ptr_ = nullptr;