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[MSLITE] arm32 prelu

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pull/12213/head
ling 4 years ago
parent ab0010acfc
commit f12d3f3896
3 changed files with 101 additions and 124 deletions
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137
mindspore/lite/nnacl/fp32/prelu_fp32.c
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@ -18,89 +18,70 @@
#include <arm_neon.h>
#endif
void PRelu(float *input, float *output, const PReluParameter *prelu_param_, int task_id) {
float *negetive_slope_value = prelu_param_->slope_;
int c4 = prelu_param_->channel_num_ / C4NUM;
void PRelu(float *input, float *output, const PReluParameter *prelu_param_, int plane) {
#ifdef ENABLE_ARM
float32x4_t zero_value = vdupq_n_f32(0);
#endif
int plane_tile = plane / TILE_NUM * TILE_NUM;
int channel_num = prelu_param_->channel_num_;
for (int j = task_id; j < prelu_param_->tile_block_; j += prelu_param_->op_parameter_.thread_num_) {
float *input_ptr = input + j * TILE_NUM * channel_num;
float *output_ptr = input_ptr;
#ifdef ENABLE_ARM64
for (int i = 0; i < c4; i++) {
int c_offset = i * C4NUM;
float32x4_t slope_value = vld1q_f32(negetive_slope_value + c_offset);
float32x4_t v1 = vld1q_f32(input_ptr + c_offset);
float32x4_t v2 = vld1q_f32(input_ptr + c_offset + channel_num);
float32x4_t v3 = vld1q_f32(input_ptr + c_offset + 2 * channel_num);
float32x4_t v4 = vld1q_f32(input_ptr + c_offset + 3 * channel_num);
float32x4_t v5 = vld1q_f32(input_ptr + c_offset + 4 * channel_num);
float32x4_t v6 = vld1q_f32(input_ptr + c_offset + 5 * channel_num);
float32x4_t v7 = vld1q_f32(input_ptr + c_offset + 6 * channel_num);
float32x4_t v8 = vld1q_f32(input_ptr + c_offset + 7 * channel_num);
int plane_index = 0;
for (; plane_index < plane_tile; plane_index += TILE_NUM) {
float *in_plane_ptr = input + plane_index * channel_num;
float *out_plane_ptr = output + plane_index * channel_num;
int channel_index = 0;
#ifdef ENABLE_ARM
float *negetive_slope_value = prelu_param_->slope_;
int div_channel = prelu_param_->channel_num_ / C4NUM * C4NUM;
for (; channel_index < div_channel; channel_index += C4NUM) {
float32x4_t slope_value = vld1q_f32(negetive_slope_value + channel_index);
float32x4_t v1 = vld1q_f32(in_plane_ptr + channel_index + 0 * channel_num);
float32x4_t v2 = vld1q_f32(in_plane_ptr + channel_index + 1 * channel_num);
float32x4_t v3 = vld1q_f32(in_plane_ptr + channel_index + 2 * channel_num);
float32x4_t v4 = vld1q_f32(in_plane_ptr + channel_index + 3 * channel_num);
float32x4_t v5 = vld1q_f32(in_plane_ptr + channel_index + 4 * channel_num);
float32x4_t v6 = vld1q_f32(in_plane_ptr + channel_index + 5 * channel_num);
float32x4_t v7 = vld1q_f32(in_plane_ptr + channel_index + 6 * channel_num);
float32x4_t v8 = vld1q_f32(in_plane_ptr + channel_index + 7 * channel_num);
float32x4_t t1 = vmulq_f32(v1, slope_value);
float32x4_t t2 = vmulq_f32(v2, slope_value);
float32x4_t t3 = vmulq_f32(v3, slope_value);
float32x4_t t4 = vmulq_f32(v4, slope_value);
float32x4_t t5 = vmulq_f32(v5, slope_value);
float32x4_t t6 = vmulq_f32(v6, slope_value);
float32x4_t t7 = vmulq_f32(v7, slope_value);
float32x4_t t8 = vmulq_f32(v8, slope_value);
float32x4_t r1 = vaddq_f32(vmulq_f32(vminq_f32(v1, zero_value), slope_value), vmaxq_f32(v1, zero_value));
float32x4_t r2 = vaddq_f32(vmulq_f32(vminq_f32(v2, zero_value), slope_value), vmaxq_f32(v2, zero_value));
float32x4_t r3 = vaddq_f32(vmulq_f32(vminq_f32(v3, zero_value), slope_value), vmaxq_f32(v3, zero_value));
float32x4_t r4 = vaddq_f32(vmulq_f32(vminq_f32(v4, zero_value), slope_value), vmaxq_f32(v4, zero_value));
float32x4_t r5 = vaddq_f32(vmulq_f32(vminq_f32(v5, zero_value), slope_value), vmaxq_f32(v5, zero_value));
float32x4_t r6 = vaddq_f32(vmulq_f32(vminq_f32(v6, zero_value), slope_value), vmaxq_f32(v6, zero_value));
float32x4_t r7 = vaddq_f32(vmulq_f32(vminq_f32(v7, zero_value), slope_value), vmaxq_f32(v7, zero_value));
float32x4_t r8 = vaddq_f32(vmulq_f32(vminq_f32(v8, zero_value), slope_value), vmaxq_f32(v8, zero_value));
uint32x4_t flag1 = vclezq_f32(v1);
uint32x4_t flag2 = vclezq_f32(v2);
uint32x4_t flag3 = vclezq_f32(v3);
uint32x4_t flag4 = vclezq_f32(v4);
uint32x4_t flag5 = vclezq_f32(v5);
uint32x4_t flag6 = vclezq_f32(v6);
uint32x4_t flag7 = vclezq_f32(v7);
uint32x4_t flag8 = vclezq_f32(v8);
float32x4_t r1 = vbslq_f32(flag1, t1, v1);
float32x4_t r2 = vbslq_f32(flag2, t2, v2);
float32x4_t r3 = vbslq_f32(flag3, t3, v3);
float32x4_t r4 = vbslq_f32(flag4, t4, v4);
float32x4_t r5 = vbslq_f32(flag5, t5, v5);
float32x4_t r6 = vbslq_f32(flag6, t6, v6);
float32x4_t r7 = vbslq_f32(flag7, t7, v7);
float32x4_t r8 = vbslq_f32(flag8, t8, v8);
vst1q_f32(output_ptr + c_offset, r1);
vst1q_f32(output_ptr + c_offset + channel_num, r2);
vst1q_f32(output_ptr + c_offset + 2 * channel_num, r3);
vst1q_f32(output_ptr + c_offset + 3 * channel_num, r4);
vst1q_f32(output_ptr + c_offset + 4 * channel_num, r5);
vst1q_f32(output_ptr + c_offset + 5 * channel_num, r6);
vst1q_f32(output_ptr + c_offset + 6 * channel_num, r7);
vst1q_f32(output_ptr + c_offset + 7 * channel_num, r8);
} // c4 -1 loop
#else
for (int i = 0; i < TILE_NUM; ++i) {
int tile_offset = i * channel_num;
for (int k = 0; k < c4; ++k) {
int c4_offset = tile_offset + k * C4NUM;
int slope_offset = k * C4NUM;
for (int l = 0; l < C4NUM; ++l) {
const float in_data = input_ptr[c4_offset + l];
output_ptr[c4_offset + l] =
(in_data < 0 ? in_data : 0) * negetive_slope_value[slope_offset + l] + (in_data > 0 ? in_data : 0);
}
}
} // c4 - 1 loop
vst1q_f32(out_plane_ptr + channel_index + 0 * channel_num, r1);
vst1q_f32(out_plane_ptr + channel_index + 1 * channel_num, r2);
vst1q_f32(out_plane_ptr + channel_index + 2 * channel_num, r3);
vst1q_f32(out_plane_ptr + channel_index + 3 * channel_num, r4);
vst1q_f32(out_plane_ptr + channel_index + 4 * channel_num, r5);
vst1q_f32(out_plane_ptr + channel_index + 5 * channel_num, r6);
vst1q_f32(out_plane_ptr + channel_index + 6 * channel_num, r7);
vst1q_f32(out_plane_ptr + channel_index + 7 * channel_num, r8);
}
#endif
int c_s = c4 * C4NUM;
for (int m = 0; m < TILE_NUM; ++m) {
int offset = m * channel_num;
for (int k = c_s; k < channel_num; ++k) {
int c4_offset = offset + k;
const float in_data = input_ptr[c4_offset];
if (in_data >= 0) {
output_ptr[c4_offset] = in_data;
} else {
output_ptr[c4_offset] = in_data * negetive_slope_value[k];
}
for (; channel_index < channel_num; channel_index++) {
float *in_c = in_plane_ptr + channel_index;
float *out_c = out_plane_ptr + channel_index;
for (int tile_i = 0; tile_i < TILE_NUM; tile_i++) {
float *in_tile = in_c + tile_i * channel_num;
float *out_tile = out_c + tile_i * channel_num;
const float in_data = in_tile[0];
out_tile[0] = (in_data < 0 ? in_data : 0) * prelu_param_->slope_[channel_index] + (in_data > 0 ? in_data : 0);
}
} // res loop
}
}
for (; plane_index < plane; plane_index++) {
float *in_plane_ptr = input + plane_index * channel_num;
float *out_plane_ptr = output + plane_index * channel_num;
for (int channel_index = 0; channel_index < channel_num; channel_index++) {
const float in_data = in_plane_ptr[channel_index];
out_plane_ptr[channel_index] =
(in_data < 0 ? in_data : 0) * prelu_param_->slope_[channel_index] + (in_data > 0 ? in_data : 0);
}
}
}

85
mindspore/lite/src/runtime/kernel/arm/fp32/prelu_fp32.cc
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@ -39,19 +39,39 @@ int PReluRun(void *cdata, int task_id) {
}
} // namespace
int PReluCPUKernel::Init() { return RET_OK; }
int PReluCPUKernel::Init() {
if (in_tensors_[1]->ElementsNum() == 1) {
prelu_param_->channelShared = true;
} else {
prelu_param_->channelShared = false;
}
if (!InferShapeDone()) {
return RET_OK;
}
return ReSize();
}
int PReluCPUKernel::DoExcute(int task_id) {
if (prelu_param_->channelShared) {
PReluShareChannel(input_data_, output_data_, prelu_param_, task_id);
} else {
PRelu(input_data_, output_data_, prelu_param_, task_id);
int res_plane = prelu_param_->input_num_ - task_id * prelu_param_->tile_block_;
int plane = MSMIN(prelu_param_->tile_block_, res_plane);
if (plane <= 0) {
return RET_OK;
}
float *in = input_data_ + task_id * prelu_param_->tile_block_ * prelu_param_->channel_num_;
float *out = output_data_ + task_id * prelu_param_->tile_block_ * prelu_param_->channel_num_;
PRelu(in, out, prelu_param_, plane);
}
return RET_OK;
}
int PReluCPUKernel::ProcessInput() {
// input tensor
int PReluCPUKernel::ReSize() {
if (prelu_param_->channelShared) {
return RET_OK;
}
auto input_tensor = in_tensors_.at(0);
auto in_shape = input_tensor->shape();
auto n_dim = in_shape.size();
@ -60,57 +80,36 @@ int PReluCPUKernel::ProcessInput() {
for (size_t i = 0; i < n_dim - 1; ++i) {
input_plane *= in_shape.at(i);
}
int tile_block = UP_DIV(input_plane, TILE_NUM);
prelu_param_->input_num_ = input_tensor->ElementsNum();
prelu_param_->tile_block_ = tile_block;
prelu_param_->input_num_ = input_plane;
prelu_param_->tile_block_ = UP_DIV(UP_DIV(input_plane, TILE_NUM), op_parameter_->thread_num_) * TILE_NUM;
prelu_param_->channel_num_ = channel_num;
input_data_ =
reinterpret_cast<float *>(context_->allocator->Malloc(tile_block * TILE_NUM * channel_num * sizeof(float)));
if (input_data_ == nullptr) {
MS_LOG(ERROR) << "malloc input_data_ failed.";
return RET_ERROR;
}
memcpy(input_data_, ori_input_, prelu_param_->input_num_ * sizeof(float));
return RET_OK;
}
int PReluCPUKernel::ProcessShareChannelInput() {
// input tensor
auto input_tensor = in_tensors_.at(0);
prelu_param_->input_num_ = input_tensor->ElementsNum();
int tile = 32;
#ifdef ENABLE_ARM64
prelu_param_->tile_block_ = UP_DIV(prelu_param_->input_num_, 64);
input_data_ = reinterpret_cast<float *>(context_->allocator->Malloc(prelu_param_->tile_block_ * 64 * sizeof(float)));
if (input_data_ == nullptr) {
MS_LOG(ERROR) << "malloc input_data_ failed.";
return RET_ERROR;
}
memcpy(input_data_, ori_input_, prelu_param_->input_num_ * sizeof(float));
#elif ENABLE_ARM32
prelu_param_->tile_block_ = UP_DIV(prelu_param_->input_num_, 32);
input_data_ = reinterpret_cast<float *>(context_->allocator->Malloc(prelu_param_->tile_block_ * 32 * sizeof(float)));
if (input_data_ == nullptr) {
MS_LOG(ERROR) << "malloc input_data_ failed.";
return RET_ERROR;
}
memcpy(input_data_, ori_input_, prelu_param_->input_num_ * sizeof(float));
#else
prelu_param_->tile_block_ = UP_DIV(prelu_param_->input_num_, 32);
input_data_ = reinterpret_cast<float *>(context_->allocator->Malloc(prelu_param_->tile_block_ * 32 * sizeof(float)));
tile = 64;
#endif
prelu_param_->tile_block_ = UP_DIV(prelu_param_->input_num_, tile);
input_data_ =
reinterpret_cast<float *>(context_->allocator->Malloc(prelu_param_->tile_block_ * tile * sizeof(float)));
if (input_data_ == nullptr) {
MS_LOG(ERROR) << "malloc input_data_ failed.";
return RET_ERROR;
}
memcpy(input_data_, ori_input_, prelu_param_->input_num_ * sizeof(float));
#endif
return RET_OK;
}
int PReluCPUKernel::Run() {
MS_ASSERT(in_tensors_.size() >= 2);
auto input_tensor = in_tensors_[0];
ori_input_ = reinterpret_cast<float *>(input_tensor->MutableData());
output_data_ = reinterpret_cast<float *>(out_tensors_.at(kOutputIndex)->MutableData());
ori_input_ = reinterpret_cast<float *>(input_tensor->data_c());
output_data_ = reinterpret_cast<float *>(out_tensors_.at(kOutputIndex)->data_c());
MS_ASSERT(ori_input_);
MS_ASSERT(output_data_);
if (prelu_param_->channelShared) {
@ -120,16 +119,12 @@ int PReluCPUKernel::Run() {
return ret;
}
} else {
auto ret = ProcessInput();
if (ret != RET_OK) {
MS_LOG(ERROR) << "Process failed.";
return ret;
}
input_data_ = ori_input_;
}
// negative slope tensor
auto negative_slope_tensor = in_tensors_.at(1);
prelu_param_->slope_ = reinterpret_cast<float *>(negative_slope_tensor->MutableData());
prelu_param_->slope_ = reinterpret_cast<float *>(negative_slope_tensor->data_c());
auto ret = ParallelLaunch(this->context_->thread_pool_, PReluRun, this, prelu_param_->op_parameter_.thread_num_);
if (ret != RET_OK) {
@ -138,8 +133,10 @@ int PReluCPUKernel::Run() {
return RET_ERROR;
}
memcpy(output_data_, input_data_, prelu_param_->input_num_ * sizeof(float));
context_->allocator->Free(input_data_);
if (prelu_param_->channelShared) {
memcpy(output_data_, input_data_, prelu_param_->input_num_ * sizeof(float));
context_->allocator->Free(input_data_);
}
return RET_OK;
}

3
mindspore/lite/src/runtime/kernel/arm/fp32/prelu_fp32.h
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@ -33,11 +33,10 @@ class PReluCPUKernel : public LiteKernel {
~PReluCPUKernel() = default;
int Init() override;
int ReSize() override { return 0; }
int ReSize() override;
int Run() override;
int DoExcute(int task_id);
int ProcessShareChannelInput();
int ProcessInput();
private:
PReluParameter *prelu_param_;

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