提交 edba9dce 编写于 作者: L liuruilong

update conv cl code

上级 f3fe2493
...@@ -40,8 +40,8 @@ class CLEngine { ...@@ -40,8 +40,8 @@ class CLEngine {
return std::move(context_ptr); return std::move(context_ptr);
} }
std::unique_ptr<_cl_command_queue, CLCommQueueDeleter> std::unique_ptr<_cl_command_queue, CLCommQueueDeleter> CreateClCommandQueue(
CreateClCommandQueue(cl_context context) { cl_context context) {
cl_int status; cl_int status;
cl_command_queue queue = cl_command_queue queue =
clCreateCommandQueue(context, devices_[0], 0, &status); clCreateCommandQueue(context, devices_[0], 0, &status);
......
...@@ -193,10 +193,8 @@ class CLImage { ...@@ -193,10 +193,8 @@ class CLImage {
DLOG << " image width: " << width; DLOG << " image width: " << width;
DLOG << " image height: " << height; DLOG << " image height: " << height;
cl_image_format cf = { cl_image_format cf = {.image_channel_order = CL_RGBA,
.image_channel_order = CL_RGBA, .image_channel_data_type = CL_HALF_FLOAT};
.image_channel_data_type = CL_HALF_FLOAT
};
cl_image_desc cid = { cl_image_desc cid = {
.image_type = CL_MEM_OBJECT_IMAGE2D, .image_type = CL_MEM_OBJECT_IMAGE2D,
.image_width = width, .image_width = width,
...@@ -211,8 +209,7 @@ class CLImage { ...@@ -211,8 +209,7 @@ class CLImage {
}; };
cid.buffer = nullptr; cid.buffer = nullptr;
cl_image_ = clCreateImage( cl_image_ = clCreateImage(
context, context, CL_MEM_READ_WRITE | (imageData ? CL_MEM_COPY_HOST_PTR : 0),
CL_MEM_READ_WRITE | (imageData ? CL_MEM_COPY_HOST_PTR : 0),
&cf, // const cl_image_format *image_format &cf, // const cl_image_format *image_format
&cid, // const cl_image_desc *image_desc &cid, // const cl_image_desc *image_desc
reinterpret_cast<void *>(imageData.get()), // void *host_ptr reinterpret_cast<void *>(imageData.get()), // void *host_ptr
......
...@@ -12,10 +12,139 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ...@@ -12,10 +12,139 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
__kernel void conv_3x3() { __kernel void conv_3x3(__private const int global_size_dim0,
__private const int global_size_dim1,
__private const int global_size_dim2,
__read_only image2d_t input_image,
__read_only image2d_t filter,
#ifdef BIASE
__read_only image2d_t bias,
#endif
#ifdef BATCH_NORM
__read_only image2d_t new_scale,
__read_only image2d_t new_biase,
#endif
__write_only image2d_t output_image,
__private const int stride,
__private const int offset,
__private const int input_c,
__private const int dilation,
__private const int input_width,/* of one block */
__private const int input_height,/* of one block */
__private const int output_width,
__private const int output_height) {
const int out_c = get_global_id(0);
const int out_w = get_global_id(1);
const int out_nh = get_global_id(2);
int2 stride_xy;
stride_xy.x = stride;
stride_xy.y = stride;
int2 ouput_pos_in_one_block;
ouput_pos_in_one_block.x = out_w;
ouput_pos_in_one_block.y = out_nh;
int2 in_pos_in_one_block;
in_pos_in_one_block.x = ouput_pos_in_one_block.x * stride + offset;
in_pos_in_one_block.y = ouput_pos_in_one_block.y * stride + offset;
#ifdef BIASE
half4 output = read_imageh(bias, sampler, int2(out_c, 0));
#else
half4 output = 0.0;
#endif
half4 input[9];
const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE |
CLK_ADDRESS_CLAMP |
CLK_FILTER_NEAREST;
for (int i = 0; i < input_c; ++i) {
int2 pos_in = (int2)(i * input_width + in_pos_in_one_block.x, in_pos_in_one_block.y);
input[0] = select(read_imageh(input_image, sampler,
(int2)(pos_in.x - dilation, pos_in.y - dilation)),
(half4)(0.0),
(ushort4)(in_pos_in_one_block.x - dilation < 0 || in_pos_in_one_block.y - dilation < 0 || in_pos_in_one_block.x - dilation >= input_width || in_pos_in_one_block.y - dilation >= input_height));
input[1] = select(read_imageh(input_image, sampler,
(int2)(pos_in.x, pos_in.y - dilation)),
(half4)(0.0),
(ushort4)(in_pos_in_one_block.x < 0 || in_pos_in_one_block.y - dilation < 0 || in_pos_in_one_block.x >= input_width || in_pos_in_one_block.y - dilation >= input_height));
input[2] = select(read_imageh(input_image, sampler,
(int2)(pos_in.x + dilation, pos_in.y - dilation)),
(half4)(0.0),
(ushort4)(in_pos_in_one_block.x + dilation < 0 || in_pos_in_one_block.y - dilation < 0 || in_pos_in_one_block.x + dilation >= input_width || in_pos_in_one_block.y - dilation >= input_height));
input[3] = select(read_imageh(input_image, sampler,
(int2)(pos_in.x - dilation, pos_in.y)),
(half4)(0.0),
(ushort4)(in_pos_in_one_block.x - dilation < 0 || in_pos_in_one_block.y < 0 || in_pos_in_one_block.x - dilation >= input_width || in_pos_in_one_block.y >= input_height));
input[4] = select(read_imageh(input_image, sampler,
(int2)(pos_in.x, pos_in.y)),
(half4)(0.0),
(ushort4)(in_pos_in_one_block.x < 0 || in_pos_in_one_block.y < 0 || in_pos_in_one_block.x >= input_width || in_pos_in_one_block.y >= input_height));
input[5] = select(read_imageh(input_image, sampler,
(int2)(pos_in.x + dilation, pos_in.y)),
(half4)(0.0),
(ushort4)(in_pos_in_one_block.x + dilation < 0 || in_pos_in_one_block.y < 0 || in_pos_in_one_block.x + dilation >= input_width || in_pos_in_one_block.y >= input_height));
input[6] = select(read_imageh(input_image, sampler,
(int2)(pos_in.x - dilation, pos_in.y + dilation)),
(half4)(0.0),
(ushort4)(in_pos_in_one_block.x - dilation < 0 || in_pos_in_one_block.y + dilation < 0 || in_pos_in_one_block.x - dilation >= input_width || in_pos_in_one_block.y + dilation >= input_height));
input[7] = select(read_imageh(input_image, sampler,
(int2)(pos_in.x, pos_in.y + dilation)),
(half4)(0.0),
(ushort4)(in_pos_in_one_block.x < 0 || in_pos_in_one_block.y + dilation < 0 || in_pos_in_one_block.x >= input_width || in_pos_in_one_block.y + dilation >= input_height));
input[8] = select(read_imageh(input_image, sampler,
(int2)(pos_in.x + dilation, pos_in.y + dilation)),
(half4)(0.0),
(ushort4)(pos_in.x + dilation < 0 || in_pos_in_one_block.y + dilation < 0 || pos_in.x + dilation >= input_width || in_pos_in_one_block.y + dilation >= input_height));
for (int j = 0; j < 9; ++j) {
int2 fuck;
fuck.x = i * 3 + j % 3;
fuck.y = out_c * 4 * 3 + 0 * out_c * 3 + j / 3;
half4 weight_x = read_imageh(filter, sampler, fuck);
output.x += dot(input[j], weight_x);
fuck.y = out_c * 4 * 3 + 1 * out_c * 3 + j / 3;
half4 weight_y = read_imageh(filter, sampler, fuck);
output.y += dot(input[j], weight_y);
fuck.y = out_c * 4 * 3 + 2 * out_c * 3 + j / 3;
half4 weight_z = read_imageh(filter, sampler, fuck);
output.z += dot(input[j], weight_z);
fuck.y = out_c * 4 * 3 + 3 * out_c * 3 + j / 3;
half4 weight_w = read_imageh(filter, sampler, fuck);
output.w += dot(input[j], weight_w);
}
}
#ifdef BATCH_NORM
output = output * read_imageh(new_scale, sampler, int2(out_c, 0)) + read_imageh(new_biase, sampler, int2(out_c, 0))
#endif
#ifdef RELU
output = activation(output);
#endif
write_imageh(output_image, (int2)(out_c * global_size_dim1 + out_w, out_nh), output);
} }
...@@ -78,7 +78,7 @@ void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) { ...@@ -78,7 +78,7 @@ void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) {
DLOG << " get Filter "; DLOG << " get Filter ";
auto output = param.Output(); auto output = param.Output()->GetCLImage();
DLOG << " get Output "; DLOG << " get Output ";
...@@ -89,45 +89,54 @@ void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) { ...@@ -89,45 +89,54 @@ void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) {
int input_width = param.Input()->WidthOfOneBlock(); int input_width = param.Input()->WidthOfOneBlock();
int input_height = param.Input()->HeightOfOneBlock(); int input_height = param.Input()->HeightOfOneBlock();
int output_width = param.Output()->WidthOfOneBlock();
int output_height = param.Output()->HeightOfOneBlock();
cl_int status; cl_int status;
DLOG << " begin set kernel arg "; DLOG << " begin set kernel arg ";
// status = clSetKernelArg(kernel, 0, sizeof(int), &c_block); status = clSetKernelArg(kernel, 0, sizeof(int), &c_block);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 1, sizeof(int), &w); status = clSetKernelArg(kernel, 1, sizeof(int), &w);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 2, sizeof(int), &nh); status = clSetKernelArg(kernel, 2, sizeof(int), &nh);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 3, sizeof(cl_mem), &input); status = clSetKernelArg(kernel, 3, sizeof(cl_mem), &input);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 4, sizeof(cl_mem), &filter); status = clSetKernelArg(kernel, 4, sizeof(cl_mem), &filter);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 5, sizeof(cl_mem), &output); status = clSetKernelArg(kernel, 5, sizeof(cl_mem), &output);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 6, sizeof(int), &stride); status = clSetKernelArg(kernel, 6, sizeof(int), &stride);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 7, sizeof(int), &offset); status = clSetKernelArg(kernel, 7, sizeof(int), &offset);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 8, sizeof(int), &input_c); status = clSetKernelArg(kernel, 8, sizeof(int), &input_c);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 9, sizeof(int), &dilation); status = clSetKernelArg(kernel, 9, sizeof(int), &dilation);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 10, sizeof(int), &input_width); status = clSetKernelArg(kernel, 10, sizeof(int), &input_width);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
//
// status = clSetKernelArg(kernel, 11, sizeof(int), &input_height); status = clSetKernelArg(kernel, 11, sizeof(int), &input_height);
// CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
status = clSetKernelArg(kernel, 12, sizeof(int), &output_width);
CL_CHECK_ERRORS(status);
status = clSetKernelArg(kernel, 13, sizeof(int), &output_height);
CL_CHECK_ERRORS(status);
DLOG << " end set kernel arg "; DLOG << " end set kernel arg ";
...@@ -138,7 +147,6 @@ void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) { ...@@ -138,7 +147,6 @@ void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) {
default_work_size.data(), NULL, 0, NULL, NULL); default_work_size.data(), NULL, 0, NULL, NULL);
CL_CHECK_ERRORS(status); CL_CHECK_ERRORS(status);
DLOG << " end enqueue "; DLOG << " end enqueue ";
} }
template class ConvKernel<GPU_CL, float>; template class ConvKernel<GPU_CL, float>;
......
#!/usr/bin/env sh #!/usr/bin/env sh
push_fn () { push_fn () {
cp ../../src/operators/kernel/cl/cl_kernel/* ../../build/release/arm-v7a/build/cl_kernel/
MODELS_PATH="../../test/models/*" MODELS_PATH="../../test/models/*"
MODELS_SRC="../../test/models" MODELS_SRC="../../test/models"
IMAGE_PATH="../../test/images/*" IMAGE_PATH="../../test/images/*"
......
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