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[OPENCL] add opencl kernel for sin cos tan atan asin acos #4799

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Nov 23, 2020
Merged

[OPENCL] add opencl kernel for sin cos tan atan asin acos #4799

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80 changes: 80 additions & 0 deletions lite/backends/opencl/cl_kernel/image/trigonometric_kernel.cl
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Original file line number Diff line number Diff line change
Expand Up @@ -30,3 +30,83 @@ __kernel void trigonometric_sin(__read_only image2d_t input,
in.w = native_sin(in.w);
WRITE_IMG_TYPE(CL_DTYPE_CHAR, output, (int2)(x, y), in);
}

__kernel void trigonometric_cos(__read_only image2d_t input,
__write_only image2d_t output) {
const int x = get_global_id(0); // image_width
const int y = get_global_id(1); // image_height

const sampler_t sampler =
CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;

CL_DTYPE4 in = READ_IMG_TYPE(CL_DTYPE_CHAR, input, sampler, (int2)(x, y));
in.x = native_cos(in.x);
in.y = native_cos(in.y);
in.z = native_cos(in.z);
in.w = native_cos(in.w);
WRITE_IMG_TYPE(CL_DTYPE_CHAR, output, (int2)(x, y), in);
}

__kernel void trigonometric_tan(__read_only image2d_t input,
__write_only image2d_t output) {
const int x = get_global_id(0); // image_width
const int y = get_global_id(1); // image_height

const sampler_t sampler =
CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;

CL_DTYPE4 in = READ_IMG_TYPE(CL_DTYPE_CHAR, input, sampler, (int2)(x, y));
in.x = native_tan(in.x);
in.y = native_tan(in.y);
in.z = native_tan(in.z);
in.w = native_tan(in.w);
WRITE_IMG_TYPE(CL_DTYPE_CHAR, output, (int2)(x, y), in);
}

__kernel void trigonometric_atan(__read_only image2d_t input,
__write_only image2d_t output) {
const int x = get_global_id(0); // image_width
const int y = get_global_id(1); // image_height

const sampler_t sampler =
CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;

CL_DTYPE4 in = READ_IMG_TYPE(CL_DTYPE_CHAR, input, sampler, (int2)(x, y));
in.x = atan(in.x);
in.y = atan(in.y);
in.z = atan(in.z);
in.w = atan(in.w);
WRITE_IMG_TYPE(CL_DTYPE_CHAR, output, (int2)(x, y), in);
}

__kernel void trigonometric_asin(__read_only image2d_t input,
__write_only image2d_t output) {
const int x = get_global_id(0); // image_width
const int y = get_global_id(1); // image_height

const sampler_t sampler =
CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;

CL_DTYPE4 in = READ_IMG_TYPE(CL_DTYPE_CHAR, input, sampler, (int2)(x, y));
in.x = asin(in.x);
in.y = asin(in.y);
in.z = asin(in.z);
in.w = asin(in.w);
WRITE_IMG_TYPE(CL_DTYPE_CHAR, output, (int2)(x, y), in);
}

__kernel void trigonometric_acos(__read_only image2d_t input,
__write_only image2d_t output) {
const int x = get_global_id(0); // image_width
const int y = get_global_id(1); // image_height

const sampler_t sampler =
CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;

CL_DTYPE4 in = READ_IMG_TYPE(CL_DTYPE_CHAR, input, sampler, (int2)(x, y));
in.x = acos(in.x);
in.y = acos(in.y);
in.z = acos(in.z);
in.w = acos(in.w);
WRITE_IMG_TYPE(CL_DTYPE_CHAR, output, (int2)(x, y), in);
}
2 changes: 1 addition & 1 deletion lite/kernels/opencl/CMakeLists.txt
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Expand Up @@ -116,7 +116,7 @@ lite_cc_test(test_pad2d_image_opencl SRCS pad2d_image_compute_test.cc
lite_cc_test(test_box_coder_image_opencl SRCS box_coder_image_compute_test.cc
DEPS box_coder_opencl_image op_registry program context)

lite_cc_test(test_sin_image_opencl SRCS sin_image_compute_test.cc
lite_cc_test(test_trigonometric_image_opencl SRCS trigonometric_image_compute_test.cc
DEPS trigonometric_opencl_image op_registry program context)

######################
Expand Down
122 changes: 0 additions & 122 deletions lite/kernels/opencl/sin_image_compute_test.cc
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This file was deleted.

100 changes: 100 additions & 0 deletions lite/kernels/opencl/trigonometric_image_compute.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -136,6 +136,26 @@ class TrigonometricComputeImage2D
class SinComputeImage2D : public TrigonometricComputeImage2D {
std::string KernelFunctionName() override { return "trigonometric_sin"; }
};

class CosComputeImage2D : public TrigonometricComputeImage2D {
std::string KernelFunctionName() override { return "trigonometric_cos"; }
};

class TanComputeImage2D : public TrigonometricComputeImage2D {
std::string KernelFunctionName() override { return "trigonometric_tan"; }
};

class AtanComputeImage2D : public TrigonometricComputeImage2D {
std::string KernelFunctionName() override { return "trigonometric_atan"; }
};

class AsinComputeImage2D : public TrigonometricComputeImage2D {
std::string KernelFunctionName() override { return "trigonometric_asin"; }
};

class AcosComputeImage2D : public TrigonometricComputeImage2D {
std::string KernelFunctionName() override { return "trigonometric_acos"; }
};
} // namespace opencl
} // namespace kernels
} // namespace lite
Expand All @@ -156,3 +176,83 @@ REGISTER_LITE_KERNEL(sin,
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.Finalize();

REGISTER_LITE_KERNEL(cos,
kOpenCL,
kFP16,
kImageDefault,
paddle::lite::kernels::opencl::CosComputeImage2D,
image2d)
.BindInput("X",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.BindOutput("Out",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.Finalize();

REGISTER_LITE_KERNEL(tan,
kOpenCL,
kFP16,
kImageDefault,
paddle::lite::kernels::opencl::TanComputeImage2D,
image2d)
.BindInput("X",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.BindOutput("Out",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.Finalize();

REGISTER_LITE_KERNEL(atan,
kOpenCL,
kFP16,
kImageDefault,
paddle::lite::kernels::opencl::AtanComputeImage2D,
image2d)
.BindInput("X",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.BindOutput("Out",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.Finalize();

REGISTER_LITE_KERNEL(asin,
kOpenCL,
kFP16,
kImageDefault,
paddle::lite::kernels::opencl::AsinComputeImage2D,
image2d)
.BindInput("X",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.BindOutput("Out",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.Finalize();

REGISTER_LITE_KERNEL(acos,
kOpenCL,
kFP16,
kImageDefault,
paddle::lite::kernels::opencl::AcosComputeImage2D,
image2d)
.BindInput("X",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.BindOutput("Out",
{LiteType::GetTensorTy(TARGET(kOpenCL),
PRECISION(kFP16),
DATALAYOUT(kImageDefault))})
.Finalize();
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