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author | Alex Gilday <alexander.gilday@arm.com> | 2018-03-23 14:16:00 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
commit | 7da29b6b12ff319ed2b6e2c46588dfa1991556fb (patch) | |
tree | 24e766d916ae8da32deb5cd4fac4d82207cbe6ea /src/core/CL/cl_kernels | |
parent | f92cb23f06572fe73ec5ab9da0ec5713724c2dde (diff) | |
download | ComputeLibrary-7da29b6b12ff319ed2b6e2c46588dfa1991556fb.tar.gz |
COMPMID-1017: Implement dilated convolution in NEON, OpenCL, and GC
Change-Id: If4626ec9e215e14dffe22e80812da5bac84a52e2
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125734
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels')
-rw-r--r-- | src/core/CL/cl_kernels/im2col.cl | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/src/core/CL/cl_kernels/im2col.cl b/src/core/CL/cl_kernels/im2col.cl index 75d99bda85..1e85e1b303 100644 --- a/src/core/CL/cl_kernels/im2col.cl +++ b/src/core/CL/cl_kernels/im2col.cl @@ -680,6 +680,7 @@ __kernel void im2col_generic_padx0_pady0_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 @@ -722,10 +723,12 @@ __kernel void im2col_generic_dchw( __global DATA_TYPE *output_ptr = ((__global DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + yo * dst_stride_y + batch * dst_stride_w)) + xo; // Linearize convolution elements - for(int y = yi, y_e = yi + KERNEL_HEIGHT; y < y_e; ++y) + for(int yk = 0; yk < KERNEL_HEIGHT; ++yk) { - for(int x = xi, x_e = xi + KERNEL_WIDTH; x < x_e; ++x, ++output_ptr) + int y = yi + yk * DILATION_Y; + for(int xk = 0; xk < KERNEL_WIDTH; ++xk, ++output_ptr) { + int x = xi + xk * DILATION_X; #if PAD_LEFT == 0 && PAD_TOP == 0 && PAD_RIGHT == 0 && PAD_BOTTOM == 0 *output_ptr = *((__global DATA_TYPE *)(input_ptr + x * src_stride_x + y * src_stride_y)); #else // PAD_LEFT == 0 && PAD_TOP == 0 && PAD_RIGHT == 0 && PAD_BOTTOM == 0 |