diff options
Diffstat (limited to 'src/core/CL/cl_kernels')
| -rw-r--r-- | src/core/CL/cl_kernels/col2im.cl | 12 | ||||
| -rw-r--r-- | src/core/CL/cl_kernels/convolution_layer.cl | 72 | ||||
| -rw-r--r-- | src/core/CL/cl_kernels/im2col.cl | 9 |
3 files changed, 81 insertions, 12 deletions
diff --git a/src/core/CL/cl_kernels/col2im.cl b/src/core/CL/cl_kernels/col2im.cl index 9b5a7b5b7e..6e491f33cf 100644 --- a/src/core/CL/cl_kernels/col2im.cl +++ b/src/core/CL/cl_kernels/col2im.cl @@ -52,8 +52,6 @@ * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) @@ -66,11 +64,11 @@ * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) */ __kernel void col2im( - TENSOR3D_DECLARATION(src), + IMAGE_DECLARATION(src), TENSOR3D_DECLARATION(dst), uint dst_stride_w) { - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + Image src = CONVERT_TO_IMAGE_STRUCT(src); VEC_DATA_TYPE(DATA_TYPE, 8) data = vload8(0, (__global DATA_TYPE *)src.ptr); @@ -113,8 +111,6 @@ __kernel void col2im( * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) @@ -127,11 +123,11 @@ __kernel void col2im( * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) */ __kernel void col2im( - TENSOR3D_DECLARATION(src), + IMAGE_DECLARATION(src), TENSOR3D_DECLARATION(dst), uint dst_stride_w) { - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + Image src = CONVERT_TO_IMAGE_STRUCT(src); Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(dst); // Compute output offset diff --git a/src/core/CL/cl_kernels/convolution_layer.cl b/src/core/CL/cl_kernels/convolution_layer.cl index f8e0c27724..6a70b009c8 100644 --- a/src/core/CL/cl_kernels/convolution_layer.cl +++ b/src/core/CL/cl_kernels/convolution_layer.cl @@ -55,7 +55,7 @@ * @param[in] depth The depth of the input tensor * @param[in] total_filters Total number of filters. 4th dimension of the weights matrix */ -__kernel void reshape_to_columns( +__kernel void reshape_to_columns_nchw( TENSOR3D_DECLARATION(src), IMAGE_DECLARATION(dst), #ifdef HAS_BIAS @@ -97,4 +97,74 @@ __kernel void reshape_to_columns( } } } + +/** This kernel reshapes the tensor's low three dimensions to single column + * + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + * @param[in] bias_ptr Pointer to the bias tensor. Same as @p src_ptr + * @param[in] bias_stride_x Stride of the bias tensor in X dimension (in bytes) + * @param[in] bias_step_x bias_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] bias_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] depth The depth of the input tensor + * @param[in] width The width of the input tensor + * @param[in] height The height of the input tensor + * @param[in] total_filters Total number of filters. 4th dimension of the weights matrix + */ +__kernel void reshape_to_columns_nhwc( + TENSOR3D_DECLARATION(src), + IMAGE_DECLARATION(dst), +#ifdef HAS_BIAS + VECTOR_DECLARATION(bias), +#endif /* HAS_BIAS */ + uint depth, uint width, uint height, uint total_filters) +{ + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + bool is_last_thread = (get_global_id(0) == (get_global_size(0) - 1) && get_global_id(1) == (get_global_size(1) - 1) && get_global_id(2) == (get_global_size(2) - 1)); + + __global uchar *tmp_src_ptr = src.ptr; + __global uchar *tmp_dst_ptr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(1) * dst_stride_y + get_global_id(2) * width * dst_stride_y + get_global_id( + 0) * width * height * dst_stride_y; +#ifdef HAS_BIAS + __global uchar *tmp_bias_ptr = bias_ptr + bias_offset_first_element_in_bytes; +#endif /* HAS_BIAS */ + + if(is_last_thread) + { + for(uint i = 0; i < total_filters; ++i) + { + *((__global DATA_TYPE *)tmp_dst_ptr) = *((__global DATA_TYPE *)tmp_src_ptr); + +#ifdef HAS_BIAS + *((__global DATA_TYPE *)(tmp_dst_ptr + dst_stride_y)) = *((__global DATA_TYPE *)(tmp_bias_ptr)); + tmp_bias_ptr += bias_stride_x; +#endif /* HAS_BIAS */ + tmp_src_ptr += height * src_stride_z; + tmp_dst_ptr += dst_stride_x; + } + } + else + { + for(uint i = 0; i < total_filters; ++i) + { + *((__global DATA_TYPE *)tmp_dst_ptr) = *((__global DATA_TYPE *)tmp_src_ptr); + tmp_src_ptr += height * src_stride_z; + tmp_dst_ptr += dst_stride_x; + } + } +} #endif // defined(DATA_TYPE)
\ No newline at end of file diff --git a/src/core/CL/cl_kernels/im2col.cl b/src/core/CL/cl_kernels/im2col.cl index c60c9a996c..6f25ad4b7a 100644 --- a/src/core/CL/cl_kernels/im2col.cl +++ b/src/core/CL/cl_kernels/im2col.cl @@ -136,6 +136,7 @@ __kernel void im2col1x1_stridex1_dchw( * @note The pad_left, pad_right, pad_top and pad_bottom must be passed at compile time using -DPAD_LEFT, -DPAD_RIGHT, -DPAD_TOP and -DPAD_BOTTOM: e.g. -DPAD_LEFT=1, -DPAD_RIGHT=2, -DPAD_TOP=3 and -DPAD_BOTTOM=2 * @note The zero value to store in case we load values out-of-bounds must be passed at compile time using -DPAD_VALUE: e.g. -DPAD_VALUE=0.0 * @note The stride along the X and Y directions must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y: e.g. -DSTRIDE_X=1 and -DSTRIDE_Y=1 + * @note The dilation_x and dilation_y must be passed at compile time using -DDILATION_X and -DDILATION_Y: e.g. -DDILATION_X=1, -DDILATION_Y=1 * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row. * * @param[in] src_ptr Pointer to the source tensor. Supported data types: QS8/QASYMM8/QS16/F16/F32 @@ -182,16 +183,18 @@ __kernel void im2col_generic_nhwc( for(int yk = 0; yk < KERNEL_HEIGHT; ++yk) { - const int y0 = yi + yk; + const int dilated_offset_y = yk * DILATION_Y; + const int y0 = yi + dilated_offset_y; if(y0 >= 0 && y0 < SRC_HEIGHT) { int xk; for(xk = 0; xk < KERNEL_WIDTH; xk++) { - const int x0 = xi + xk; + const int dilated_offset_x = xk * DILATION_X; + const int x0 = xi + dilated_offset_x; if(x0 >= 0 && x0 < SRC_WIDTH) { - *((__global DATA_TYPE *)output_ptr) = PTR_TO_VALUE(input_ptr + xk * src_stride_y + yk * src_stride_z, DATA_TYPE); + *((__global DATA_TYPE *)output_ptr) = PTR_TO_VALUE(input_ptr + dilated_offset_x * src_stride_y + dilated_offset_y * src_stride_z, DATA_TYPE); } else { |