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op_format_toNC4HW4

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pull/5799/head
Pengyongrong 5 years ago
parent 5ef6c08260
commit a43b01746f
3 changed files with 90 additions and 12 deletions
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74
mindspore/lite/src/runtime/kernel/opencl/cl/slice.cl
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@ -2,8 +2,8 @@
#define INT2 int2
#define INT4 int4
__constant sampler_t smp_none = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_NONE | CLK_FILTER_NEAREST;
__kernel void slice(__read_only image2d_t input, __write_only image2d_t output, INT4 input_shape, INT4 out_shape,
INT4 begin, INT2 sharedNoUpdiv) {
__kernel void slice_NHWC4(__read_only image2d_t input, __write_only image2d_t output, INT4 input_shape, INT4 out_shape,
INT4 begin, INT2 sharedNoUpdiv) {
int X = get_global_id(1); // H
int Y = get_global_id(2); // W
if (X >= out_shape.y || Y >= out_shape.z) {
@ -16,7 +16,7 @@ __kernel void slice(__read_only image2d_t input, __write_only image2d_t output,
WRITE_IMAGE(output, (INT2)((Y)*out_shape.w + i, (X)), result);
}
} else {
int begin_postion = sharedNoUpdiv.y % 4;
int begin_postion = sharedNoUpdiv.x % 4;
FLT4 first = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z) * input_shape.w + begin.w, (X + begin.y)));
if (begin_postion == 1) {
for (int i = 1; i <= out_shape.w; i++) {
@ -76,3 +76,71 @@ __kernel void slice(__read_only image2d_t input, __write_only image2d_t output,
WRITE_IMAGE(output, (INT2)((Y)*out_shape.w + out_shape.w - 1, (X)), result_fill0);
}
}
__kernel void slice_NC4HW4(__read_only image2d_t input, __write_only image2d_t output, INT4 input_shape, INT4 out_shape,
INT4 begin, INT2 sharedNoUpdiv) {
int X = get_global_id(1); // H
int Y = get_global_id(2); // W
if (X >= out_shape.y || Y >= out_shape.z) {
return;
}
FLT4 result;
if (sharedNoUpdiv.x % 4 == 0) {
for (int i = 0; i < out_shape.w; i++) {
result = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (i + begin.w) * input_shape.y + (X + begin.y)));
WRITE_IMAGE(output, (INT2)((Y), (i * out_shape.y + X)), result);
}
} else {
int begin_postion = sharedNoUpdiv.x % 4;
FLT4 first = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (begin.w) * input_shape.y + (X + begin.y)));
if (begin_postion == 1) {
for (int i = 1; i <= out_shape.w; i++) {
FLT4 second = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (i + begin.w) * input_shape.y + (X + begin.y)));
result.x = first.y;
result.y = first.z;
result.z = first.w;
result.w = second.x;
WRITE_IMAGE(output, (INT2)((Y), ((i - 1) * out_shape.y + X)), result);
first.y = second.y;
first.z = second.z;
first.w = second.w;
}
} else if (begin_postion == 2) {
for (int i = 1; i <= out_shape.w; i++) {
FLT4 second = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (i + begin.w) * input_shape.y + (X + begin.y)));
result.x = first.z;
result.y = first.w;
result.z = second.x;
result.w = second.y;
WRITE_IMAGE(output, (INT2)((Y), ((i - 1) * out_shape.y + X)), result);
first.z = second.z;
first.w = second.w;
}
} else {
for (int i = 1; i <= out_shape.w; i++) {
FLT4 second = READ_IMAGE(input, smp_none, (INT2)((Y + begin.z), (i + begin.w) * input_shape.y + (X + begin.y)));
result.x = first.w;
result.y = second.x;
result.z = second.y;
result.w = second.z;
WRITE_IMAGE(output, (INT2)((Y), ((i - 1) * out_shape.y + X)), result);
first.w = second.w;
}
}
}
// judge the line of size
int size = sharedNoUpdiv.y % 4;
FLT4 result_fill0 = (FLT4)(0.0f, 0.0f, 0.0f, 0.0f);
if (size == 1) {
result_fill0.x = result.x;
WRITE_IMAGE(output, (INT2)((Y), ((out_shape.w - 1) * out_shape.y + X)), result_fill0);
} else if (size == 2) {
result_fill0.x = result.x;
result_fill0.y = result.y;
WRITE_IMAGE(output, (INT2)((Y), ((out_shape.w - 1) * out_shape.y + X)), result_fill0);
} else if (size == 3) {
result_fill0.x = result.x;
result_fill0.y = result.y;
result_fill0.z = result.z;
WRITE_IMAGE(output, (INT2)((Y), ((out_shape.w - 1) * out_shape.y + X)), result_fill0);
}
}

24
mindspore/lite/src/runtime/kernel/opencl/kernel/slice.cc
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@ -35,7 +35,7 @@ int SliceOpenCLKernel::GetImageSize(size_t idx, std::vector<size_t> *img_size) {
im_dst_x = out_tensors_[0]->Width() * CO4;
im_dst_y = out_tensors_[0]->Height();
} else {
im_dst_y = out_tensors_[0]->Height() * CO4;
im_dst_y = out_tensors_[0]->Batch() * out_tensors_[0]->Height() * CO4;
im_dst_x = out_tensors_[0]->Width();
}
size_t img_dtype = CL_FLOAT;
@ -50,18 +50,28 @@ int SliceOpenCLKernel::GetImageSize(size_t idx, std::vector<size_t> *img_size) {
return RET_OK;
}
int SliceOpenCLKernel::Init() {
std::string kernel_name = "slice";
auto in_format = op_format_;
if (in_format != schema::Format_NHWC4 && in_format != schema::Format_NC4HW4) {
MS_LOG(ERROR) << "input format(" << in_format << ") "
<< "format not support!";
return RET_ERROR;
}
in_ori_format_ = in_tensors_[0]->GetFormat();
in_tensors_[0]->SetFormat(op_format_);
out_ori_format_ = out_tensors_[0]->GetFormat();
out_tensors_[0]->SetFormat(op_format_);
if (in_format == schema::Format_NC4HW4) {
kernel_name += "_NC4HW4";
} else if (in_format == schema::Format_NHWC4) {
kernel_name += "_NHWC4";
}
std::set<std::string> build_options;
std::string source = slice_source;
std::string program_name = "slice";
std::string kernel_name = "slice";
auto ocl_runtime = lite::opencl::OpenCLRuntime::GetInstance();
ocl_runtime->LoadSource(program_name, source);
ocl_runtime->BuildKernel(kernel_, program_name, kernel_name, build_options);
in_ori_format_ = in_tensors_[0]->GetFormat();
in_tensors_[0]->SetFormat(schema::Format_NHWC4);
out_ori_format_ = out_tensors_[0]->GetFormat();
out_tensors_[0]->SetFormat(schema::Format_NHWC4);
return RET_OK;
}

4
mindspore/lite/test/ut/src/runtime/kernel/opencl/slice_tests.cc
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@ -49,7 +49,7 @@ TEST_F(TestSliceOpenCLfp32, Slicefp32input_dim4) {
MS_LOG(INFO) << " Read tensors from .bin ";
std::vector<int> input_shape = {1, 19, 19, 96};
std::vector<int> output_shape = {1, 10, 10, 13};
std::vector<int> begin = {0, 2, 3, 4};
std::vector<int> begin = {0, 2, 3, 3};
std::vector<int> size = {1, 10, 10, 13};
auto data_type = kNumberTypeFloat32;
auto tensor_type = schema::NodeType_ValueNode;
@ -68,7 +68,7 @@ TEST_F(TestSliceOpenCLfp32, Slicefp32input_dim4) {
return;
}
auto *output_tensor =
new (std::nothrow) lite::tensor::Tensor(data_type, output_shape, schema::Format_NHWC4, tensor_type);
new (std::nothrow) lite::tensor::Tensor(data_type, output_shape, schema::Format_NHWC, tensor_type);
if (output_tensor == nullptr) {
delete tensor_data;
MS_LOG(INFO) << " init tensor failed ";

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