!7764 [MS][LITE][GPU]optimize arithmetic

Merge pull request !7764 from chenzupeng/master-lite
pull/7764/MERGE
mindspore-ci-bot 5 years ago committed by Gitee
commit 0fb165ceb7

@ -269,25 +269,21 @@ __kernel void BroadcastNHWC4Add_IMG(__read_only image2d_t input_a, __read_only i
const int4 output_shape, float act_min, float act_max) {
int X = get_global_id(0); // C4
int Y = get_global_id(1); // W
int Z = get_global_id(2); // N * H
int N = Z / output_shape.y;
int H = Z % output_shape.y;
if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.x * output_shape.y) {
int Z = get_global_id(2); // H
if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y) {
return;
}
int a_c = X < a_shape.w ? X : a_shape.w - 1;
int a_w = Y < a_shape.z ? Y : a_shape.z - 1;
int a_h = H < a_shape.y ? H : a_shape.y - 1;
int a_n = N < a_shape.x ? N : a_shape.x - 1;
FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_n * a_shape.y + a_h));
int a_h = Z < a_shape.y ? Z : a_shape.y - 1;
FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_h));
int b_c = X < b_shape.w ? X : b_shape.w - 1;
int b_w = Y < b_shape.z ? Y : b_shape.z - 1;
int b_h = H < b_shape.y ? H : b_shape.y - 1;
int b_n = N < b_shape.x ? N : b_shape.x - 1;
FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_n * b_shape.y + b_h));
int b_h = Z < b_shape.y ? Z : b_shape.y - 1;
FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_h));
FLT4 result = a + b;
result = clamp(result, (FLT)(act_min), (FLT)(act_max));
WRITE_IMAGE(output, (int2)(Y * output_shape.w + X, N * output_shape.y + H), result);
WRITE_IMAGE(output, (int2)(Y * output_shape.w + X, Z), result);
}
__kernel void BroadcastNHWC4Sub_IMG(__read_only image2d_t input_a, __read_only image2d_t input_b,
@ -295,25 +291,21 @@ __kernel void BroadcastNHWC4Sub_IMG(__read_only image2d_t input_a, __read_only i
const int4 output_shape, float act_min, float act_max) {
int X = get_global_id(0); // C4
int Y = get_global_id(1); // W
int Z = get_global_id(2); // N * H
int N = Z / output_shape.y;
int H = Z % output_shape.y;
if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.x * output_shape.y) {
int Z = get_global_id(2); // H
if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y) {
return;
}
int a_c = X < a_shape.w ? X : a_shape.w - 1;
int a_w = Y < a_shape.z ? Y : a_shape.z - 1;
int a_h = H < a_shape.y ? H : a_shape.y - 1;
int a_n = N < a_shape.x ? N : a_shape.x - 1;
FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_n * a_shape.y + a_h));
int a_h = Z < a_shape.y ? Z : a_shape.y - 1;
FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_h));
int b_c = X < b_shape.w ? X : b_shape.w - 1;
int b_w = Y < b_shape.z ? Y : b_shape.z - 1;
int b_h = H < b_shape.y ? H : b_shape.y - 1;
int b_n = N < b_shape.x ? N : b_shape.x - 1;
FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_n * b_shape.y + b_h));
int b_h = Z < b_shape.y ? Z : b_shape.y - 1;
FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_h));
FLT4 result = a - b;
result = clamp(result, (FLT)(act_min), (FLT)(act_max));
WRITE_IMAGE(output, (int2)(Y * output_shape.w + X, N * output_shape.y + H), result);
WRITE_IMAGE(output, (int2)(Y * output_shape.w + X, Z), result);
}
__kernel void BroadcastNHWC4Mul_IMG(__read_only image2d_t input_a, __read_only image2d_t input_b,
@ -321,25 +313,21 @@ __kernel void BroadcastNHWC4Mul_IMG(__read_only image2d_t input_a, __read_only i
const int4 output_shape, float act_min, float act_max) {
int X = get_global_id(0); // C4
int Y = get_global_id(1); // W
int Z = get_global_id(2); // N * H
int N = Z / output_shape.y;
int H = Z % output_shape.y;
if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.x * output_shape.y) {
int Z = get_global_id(2); // H
if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y) {
return;
}
int a_c = X < a_shape.w ? X : a_shape.w - 1;
int a_w = Y < a_shape.z ? Y : a_shape.z - 1;
int a_h = H < a_shape.y ? H : a_shape.y - 1;
int a_n = N < a_shape.x ? N : a_shape.x - 1;
FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_n * a_shape.y + a_h));
int a_h = Z < a_shape.y ? Z : a_shape.y - 1;
FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_h));
int b_c = X < b_shape.w ? X : b_shape.w - 1;
int b_w = Y < b_shape.z ? Y : b_shape.z - 1;
int b_h = H < b_shape.y ? H : b_shape.y - 1;
int b_n = N < b_shape.x ? N : b_shape.x - 1;
FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_n * b_shape.y + b_h));
int b_h = Z < b_shape.y ? Z : b_shape.y - 1;
FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_h));
FLT4 result = a * b;
result = clamp(result, (FLT)(act_min), (FLT)(act_max));
WRITE_IMAGE(output, (int2)(Y * output_shape.w + X, N * output_shape.y + H), result);
WRITE_IMAGE(output, (int2)(Y * output_shape.w + X, Z), result);
}
__kernel void BroadcastNHWC4Div_IMG(__read_only image2d_t input_a, __read_only image2d_t input_b,
@ -347,25 +335,21 @@ __kernel void BroadcastNHWC4Div_IMG(__read_only image2d_t input_a, __read_only i
const int4 output_shape, float act_min, float act_max) {
int X = get_global_id(0); // C4
int Y = get_global_id(1); // W
int Z = get_global_id(2); // N * H
int N = Z / output_shape.y;
int H = Z % output_shape.y;
if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.x * output_shape.y) {
int Z = get_global_id(2); // H
if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y) {
return;
}
int a_c = X < a_shape.w ? X : a_shape.w - 1;
int a_w = Y < a_shape.z ? Y : a_shape.z - 1;
int a_h = H < a_shape.y ? H : a_shape.y - 1;
int a_n = N < a_shape.x ? N : a_shape.x - 1;
FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_n * a_shape.y + a_h));
int a_h = Z < a_shape.y ? Z : a_shape.y - 1;
FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_h));
int b_c = X < b_shape.w ? X : b_shape.w - 1;
int b_w = Y < b_shape.z ? Y : b_shape.z - 1;
int b_h = H < b_shape.y ? H : b_shape.y - 1;
int b_n = N < b_shape.x ? N : b_shape.x - 1;
FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_n * b_shape.y + b_h));
int b_h = Z < b_shape.y ? Z : b_shape.y - 1;
FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_h));
FLT4 result = a / b;
result = clamp(result, (FLT)(act_min), (FLT)(act_max));
WRITE_IMAGE(output, (int2)(Y * output_shape.w + X, N * output_shape.y + H), result);
WRITE_IMAGE(output, (int2)(Y * output_shape.w + X, Z), result);
}
__kernel void BroadcastAnd_IMG(__read_only image2d_t input_a, float b, __write_only image2d_t output,

@ -136,6 +136,10 @@ int ArithmeticOpenCLKernel::Init() {
if (arithmetic_parameter->broadcasting_) {
element_flag_ = false;
kernel_name = "BroadcastNHWC4";
if (out_tensors_[0]->shape()[0] > 1) {
MS_LOG(ERROR) << "Broadcasting don't support N > 1";
return RET_ERROR;
}
} else {
kernel_name = "Element";
}

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