!4441 [MS][LITE] optimize arm cpu fp32 op: add assembly function for conv depthwise border calculating

Merge pull request !4441 from yangruoqi713/lite
This commit is contained in:
mindspore-ci-bot 2020-08-14 18:38:10 +08:00 committed by Gitee
commit df46f27053
7 changed files with 75 additions and 17 deletions

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@ -139,7 +139,7 @@ int ConvolutionDepthwiseFp16CPUKernel::ReSize() {
}
ConvolutionBaseCPUKernel::Init();
InitSlidingParam(sliding_, conv_param_, C8NUM);
InitSlidingParamConvDw(sliding_, conv_param_, C8NUM);
auto ret = InitBuffer();
if (ret != 0) {

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@ -55,7 +55,7 @@ int DeconvolutionDepthwiseFp16CPUKernel::InitSlideParam() {
conv_param_->output_channel_ = in_tensors_.front()->shape().at(kNHWC_C);
// init sliding_ window param
InitSlidingParam(sliding_, conv_param_, C8NUM);
InitSlidingParamConvDw(sliding_, conv_param_, C8NUM);
return RET_OK;
}

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@ -0,0 +1,56 @@
#ifdef __aarch64__
.text
.align 5
.global ConvDwFp32Border
#ifndef __APPLE__
.type ConvDwFp32Border, %function
#endif
// void ConvDwFp32Border(float *dst, const float *src, const float *weight, const float *bias, size_t height, size_t width,
// size_t in_kh_step, size_t in_kw_step, size_t kernel_w, size_t relu, size_t relu6)
// x0: dst, x1: src, x2: weight, x3: bias, x4: height, x5: width, x6: in_kh_step, x7: in_kw_step,
// x8: kernel_w, x9: relu, x10: relu6
ConvDwFp32Border:
// registers v8 ~ v15 must be preserved by a callee across subroutine calls, according to
// https://github.com/ARM-software/abi-aa/blob/master/aapcs64/aapcs64.rst#simd-and-floating-point-registers
// x19 ~ x29 should be also preserved
// whereas our coding style do not permit such amount of parameters
ldr x8, [sp]
ldr x9, [sp, #8]
ldr x10, [sp, #16]
ld1 {v0.4s}, [x3] // bias
movi v1.4s, #6 // relu 6
scvtf v1.4s, v1.4s
dup v2.4s, wzr // relu
mov x13, x1
mov x14, x2
LoopH:
mov x15, x13
mov x16, x14
mov x17, x5
LoopW:
ld1 {v3.4s}, [x15], x7
ld1 {v4.4s}, [x16], #16
fmla v0.4s, v3.4s, v4.4s
subs x17, x17, #1
bne LoopW
subs x4, x4, #1
add x13, x13, x6
add x14, x14, x8
bne LoopH
cbnz x10, Relu6
cbnz x9, Relu
b Write
Relu6:
fmin v0.4s, v0.4s, v1.4s
Relu:
fmax v0.4s, v0.4s, v2.4s
Write:
st1 {v0.4s}, [x0]
ret
#endif

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@ -10,7 +10,7 @@
// void ConvDwFp32Center(float *dst, const float *src, const float *weight, const float *bias, size_t height, size_t width,
// size_t kernel_h, size_t kernel_w, size_t out_h_step, size_t block_channel, size_t in_sh_step, size_t in_sw_step,
// size_t in_kh_step, size_t in_kw_step, size_t relu, size_t relu6);
// x0: dst, x1: src, x2: weight, x3: bias, x4: height, x5: weight, x6: kernel_h, x7: kernel_w,
// x0: dst, x1: src, x2: weight, x3: bias, x4: height, x5: width, x6: kernel_h, x7: kernel_w,
// x8: out_h_step, x9: block_channel, x10: in_sh_step, x11: in_sw_step, x12: in_kh_step, x13: in_kw_step
// x14: relu, x15: relu6
ConvDwFp32Center:

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@ -58,6 +58,9 @@ void C4BiasAddRelu(float *dst, const float *input, const float *bias, size_t oc,
void C4BiasAddRelu6(float *dst, const float *input, const float *bias, size_t oc, size_t plane_size, size_t stride);
void C4Relu(float *dst, const float *input, size_t oc, size_t plane_size, size_t stride);
void C4Relu6(float *dst, const float *input, size_t oc, size_t plane_size, size_t stride);
void ConvDwFp32Border(float *dst, const float *src, const float *weight, const float *bias, size_t height, size_t width,
size_t in_kh_step, size_t in_kw_step, size_t kernel_w, size_t relu, size_t relu6);
#endif
#ifdef __cplusplus

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@ -86,8 +86,9 @@ void AppendSlidingParamConvDw(SlidingWindowParam *sliding, const ConvParameter *
}
/*conv depthwise fp32 begin*/
#ifndef ENABLE_ARM64
void DepthwiseBorderPixel(float *dst, const float *src, const float *weight, const float *bias, int height, int width,
int in_kh_step, int in_kw_step, int kernel_w, bool is_relu, bool is_relu6) {
int in_kh_step, int in_kw_step, int kernel_w_step, bool is_relu, bool is_relu6) {
const float *src_kh = src;
const float *weight_kh = weight;
for (int c = 0; c < C4NUM; c++) {
@ -97,22 +98,14 @@ void DepthwiseBorderPixel(float *dst, const float *src, const float *weight, con
const float *src_kw = src_kh;
const float *weight_kw = weight_kh;
for (int kw = 0; kw < width; kw++) {
#ifdef ENABLE_ARM64
float32x4_t src_4 = vld1q_f32(src_kw);
float32x4_t weight_4 = vld1q_f32(weight_kw);
float32x4_t dst_4 = vld1q_f32(dst);
dst_4 = vfmaq_f32(dst_4, src_4, weight_4);
vst1q_f32(dst, dst_4);
#else
for (int c = 0; c < C4NUM; c++) {
dst[c] += src_kw[c] * weight_kw[c];
}
#endif
src_kw += in_kw_step;
weight_kw += C4NUM;
} // kernel_w loop
src_kh += in_kh_step;
weight_kh += kernel_w * C4NUM;
weight_kh += kernel_w_step;
} // kernel_h loop
for (int c = 0; c < C4NUM; c++) {
dst[c] += bias[c];
@ -120,6 +113,7 @@ void DepthwiseBorderPixel(float *dst, const float *src, const float *weight, con
dst[c] = (is_relu6) ? (MSMIN(6, MSMAX(0, dst[c]))) : (dst[c]);
}
}
#endif
void DepthwiseBorder(float *dst, const float *src, const float *weight, const float *bias, int top, int bottom,
int left, int right, const ConvParameter *conv_param, const SlidingWindowParam *sliding) {
@ -140,10 +134,15 @@ void DepthwiseBorder(float *dst, const float *src, const float *weight, const fl
const float *src_kernel = src_w + start_kh * sliding->in_kh_step_ + start_kw * sliding->in_kw_step_;
const float *weight_kernel = weight + (start_kh * conv_param->kernel_w_ + start_kw) * C4NUM;
#ifdef ENABLE_ARM64
ConvDwFp32Border(dst_kernel, src_kernel, weight_kernel, bias, end_kh - start_kh, end_kw - start_kw,
sliding->in_kh_step_ * sizeof(float), sliding->in_kw_step_ * sizeof(float),
conv_param->kernel_w_ * C4NUM * sizeof(float), conv_param->is_relu_, conv_param->is_relu6_);
#else
DepthwiseBorderPixel(dst_kernel, src_kernel, weight_kernel, bias, end_kh - start_kh, end_kw - start_kw,
sliding->in_kh_step_, sliding->in_kw_step_, conv_param->kernel_w_, conv_param->is_relu_,
conv_param->is_relu6_);
sliding->in_kh_step_, sliding->in_kw_step_, conv_param->kernel_w_ * C4NUM,
conv_param->is_relu_, conv_param->is_relu6_);
#endif
dst_kernel += sliding->block_channel_;
} // width loop
dst_h += sliding->out_h_step_;

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@ -5,7 +5,7 @@ gender_res_large_deploy
glasses
hat
isface
#ml_bank_detect_0312
ml_bank_detect_0312
ml_face_div_parsing
ml_hardware_eyeclose
ml_ocr_detect_20200305