From 876be2a0d11874d871860dbd22481f831d6878f6 Mon Sep 17 00:00:00 2001 From: Gian Marco Iodice Date: Tue, 3 Jul 2018 12:22:09 +0100 Subject: COMPMID-1339 - Implementing Winograd Convolution Layer 1x5 and 5x1 kernels on OpenCL NCHW Change-Id: Ia293cd89651146a0e27e5f7c74ca9c924807e83c Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/138707 Tested-by: Jenkins Reviewed-by: Georgios Pinitas --- .../CL/cl_kernels/winograd_output_transform.cl | 681 +++++++++++++-------- 1 file changed, 411 insertions(+), 270 deletions(-) (limited to 'src/core/CL/cl_kernels/winograd_output_transform.cl') diff --git a/src/core/CL/cl_kernels/winograd_output_transform.cl b/src/core/CL/cl_kernels/winograd_output_transform.cl index d195c14ccd..c63b206080 100644 --- a/src/core/CL/cl_kernels/winograd_output_transform.cl +++ b/src/core/CL/cl_kernels/winograd_output_transform.cl @@ -351,246 +351,6 @@ __kernel void winograd_output_transform_4x4_3x3_nchw( #endif // !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) } -#if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) -/** This OpenCL kernel performs Winograd output transform when the output tile is 2x1, the filter size 3x1 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) - * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_2x1_3x1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - winograd_output_transform_2x2_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes -#if defined(HAS_BIAS) - , - bias_ptr, - bias_stride_x, - bias_step_x, - bias_offset_first_element_in_bytes -#endif // defined(HAS_BIAS) - ); -} - -/** This OpenCL kernel performs Winograd output transform when the output tile is 4x1, the filter size 3x1 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) - * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_4x1_3x1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - winograd_output_transform_4x4_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes -#if defined(HAS_BIAS) - , - bias_ptr, - bias_stride_x, - bias_step_x, - bias_offset_first_element_in_bytes -#endif // defined(HAS_BIAS) - ); -} -#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) - -#if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) -/** This OpenCL kernel performs Winograd output transform when the output tile is 1x2, the filter size 1x3 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) - * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_1x2_1x3_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - winograd_output_transform_2x2_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes -#if defined(HAS_BIAS) - , - bias_ptr, - bias_stride_x, - bias_step_x, - bias_offset_first_element_in_bytes -#endif // defined(HAS_BIAS) - ); -} - -/** This OpenCL kernel performs Winograd output transform when the output tile is 1x4, the filter size 1x3 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) - * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_1x4_1x3_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - winograd_output_transform_4x4_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes -#if defined(HAS_BIAS) - , - bias_ptr, - bias_stride_x, - bias_step_x, - bias_offset_first_element_in_bytes -#endif // defined(HAS_BIAS) - ); -} -#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - /** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 3x3 and the data layout is NHWC * * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 @@ -799,9 +559,13 @@ __kernel void winograd_output_transform_4x4_3x3_nhwc( col.s3 = comm_fact.s0 + 8.f * comm_fact.s1 + comm_fact.s2 + d7; \ }) -/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 5x5 and the data layout is NCHW +/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4/4x1 or 1x4, the filter size 5x5/5x1 or 1x5 and the data layout is NCHW * * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 + * @note If this kernel is used to perform Winograd output transform 3x1, -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * @note If this kernel is used to perform Winograd output transform 1x3, -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time * * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) @@ -829,12 +593,20 @@ __kernel void winograd_output_transform_4x4_5x5_nchw( #endif // defined(HAS_BIAS) ) { - // Each thread stores a 4x4 tile + // Each thread stores a 4x4/4x1 or 1x4 tile Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); - // Load the values across the 64 channels to compose the 8x8 input tile + // Compute output address + int y_in = get_global_id(1); + int x_out = (y_in % NUM_TILES_X) * OUTPUT_TILE_W; + int y_out = (y_in / NUM_TILES_X) * OUTPUT_TILE_H; + int z_out = get_global_id(0); + + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_out * sizeof(float) + y_out * dst_stride_y + z_out * dst_stride_z; + + // Load the values across the channels to compose the input tile float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); @@ -844,8 +616,38 @@ __kernel void winograd_output_transform_4x4_5x5_nchw( float d06 = *((__global float *)(src_addr + 6 * src_stride_z)); float d07 = *((__global float *)(src_addr + 7 * src_stride_z)); - float d10 = *((__global float *)(src_addr + 8 * src_stride_z)); - float d11 = *((__global float *)(src_addr + 9 * src_stride_z)); +#if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + // Compute out00, out01, out02 and out03 + float out00 = d00 + d01 + d02 + d03 + d04 + 8.0f * d05 + 8.0f * d06; + float out01 = d01 - d02 + 2.0f * d03 - 2.0f * d04 + 4.0f * d05 - 4.0f * d06; + float out02 = d01 + d02 + 4.0f * d03 + 4.0f * d04 + 2.0f * d05 + 2.0f * d06; + float out03 = d01 - d02 + 8.0f * d03 - 8.0f * d04 + d05 - d06 + d07; + +#if defined(HAS_BIAS) + // Add bias + Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); + + float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); + + out00 += (float)b; + out01 += (float)b; + out02 += (float)b; + out03 += (float)b; +#endif // defined(HAS_BIAS) + + // Store the output tile +#if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + *((__global float *)(dst_addr + 0 * dst_stride_y)) = out00; + *((__global float *)(dst_addr + 1 * dst_stride_y)) = out01; + *((__global float *)(dst_addr + 2 * dst_stride_y)) = out02; + *((__global float *)(dst_addr + 3 * dst_stride_y)) = out03; +#else // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + vstore4((float4)(out00, out01, out02, out03), 0, (__global float *)(dst_addr)); +#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + +#else // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + float d10 = *((__global float *)(src_addr + 8 * src_stride_z)); + float d11 = *((__global float *)(src_addr + 9 * src_stride_z)); float d12 = *((__global float *)(src_addr + 10 * src_stride_z)); float d13 = *((__global float *)(src_addr + 11 * src_stride_z)); float d14 = *((__global float *)(src_addr + 12 * src_stride_z)); @@ -935,11 +737,6 @@ __kernel void winograd_output_transform_4x4_5x5_nchw( float4 out_col1 = comm_fact0 + 2.f * comm_fact1 + 4.f * comm_fact2; float4 out_col3 = comm_fact0 + 8.f * comm_fact1 + comm_fact2 + tmp_col7; - int y_in = get_global_id(1); - int x_out = (y_in % NUM_TILES_X) * 4; - int y_out = (y_in / NUM_TILES_X) * 4; - int z_out = get_global_id(0); - #if defined(HAS_BIAS) // Add bias Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); @@ -952,26 +749,12 @@ __kernel void winograd_output_transform_4x4_5x5_nchw( out_col3 += (float4)b; #endif // defined(HAS_BIAS) - // Get output address - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_out * dst_stride_x + y_out * dst_stride_y + z_out * dst_stride_z; - - // Store the 4x4 output tile - *(__global float *)(dst_addr + 0 * dst_stride_x + 0 * dst_stride_y) = out_col0.s0; - *(__global float *)(dst_addr + 1 * dst_stride_x + 0 * dst_stride_y) = out_col1.s0; - *(__global float *)(dst_addr + 2 * dst_stride_x + 0 * dst_stride_y) = out_col2.s0; - *(__global float *)(dst_addr + 3 * dst_stride_x + 0 * dst_stride_y) = out_col3.s0; - *(__global float *)(dst_addr + 0 * dst_stride_x + 1 * dst_stride_y) = out_col0.s1; - *(__global float *)(dst_addr + 1 * dst_stride_x + 1 * dst_stride_y) = out_col1.s1; - *(__global float *)(dst_addr + 2 * dst_stride_x + 1 * dst_stride_y) = out_col2.s1; - *(__global float *)(dst_addr + 3 * dst_stride_x + 1 * dst_stride_y) = out_col3.s1; - *(__global float *)(dst_addr + 0 * dst_stride_x + 2 * dst_stride_y) = out_col0.s2; - *(__global float *)(dst_addr + 1 * dst_stride_x + 2 * dst_stride_y) = out_col1.s2; - *(__global float *)(dst_addr + 2 * dst_stride_x + 2 * dst_stride_y) = out_col2.s2; - *(__global float *)(dst_addr + 3 * dst_stride_x + 2 * dst_stride_y) = out_col3.s2; - *(__global float *)(dst_addr + 0 * dst_stride_x + 3 * dst_stride_y) = out_col0.s3; - *(__global float *)(dst_addr + 1 * dst_stride_x + 3 * dst_stride_y) = out_col1.s3; - *(__global float *)(dst_addr + 2 * dst_stride_x + 3 * dst_stride_y) = out_col2.s3; - *(__global float *)(dst_addr + 3 * dst_stride_x + 3 * dst_stride_y) = out_col3.s3; + // Store the output tile + vstore4((float4)(out_col0.s0, out_col1.s0, out_col2.s0, out_col3.s0), 0, (__global float *)(dst_addr + 0 * dst_stride_y)); + vstore4((float4)(out_col0.s1, out_col1.s1, out_col2.s1, out_col3.s1), 0, (__global float *)(dst_addr + 1 * dst_stride_y)); + vstore4((float4)(out_col0.s2, out_col1.s2, out_col2.s2, out_col3.s2), 0, (__global float *)(dst_addr + 2 * dst_stride_y)); + vstore4((float4)(out_col0.s3, out_col1.s3, out_col2.s3, out_col3.s3), 0, (__global float *)(dst_addr + 3 * dst_stride_y)); +#endif // !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) } /** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 5x5 and the data layout is NHWC @@ -1149,4 +932,362 @@ __kernel void winograd_output_transform_4x4_5x5_nhwc( *(__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s3) = out_col2.s3; *(__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s3) = out_col3.s3; } + +#if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) +/** This OpenCL kernel performs Winograd output transform when the output tile is 2x1, the filter size 3x1 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) + * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_2x1_3x1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_2x2_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} + +/** This OpenCL kernel performs Winograd output transform when the output tile is 4x1, the filter size 3x1 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) + * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_4x1_3x1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_4x4_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} + +/** This OpenCL kernel performs Winograd output transform when the output tile is 4x1, the filter size 5x1 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) + * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_4x1_5x1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_4x4_5x5_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} +#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) + +#if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) +/** This OpenCL kernel performs Winograd output transform when the output tile is 1x2, the filter size 1x3 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) + * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_1x2_1x3_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_2x2_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} + +/** This OpenCL kernel performs Winograd output transform when the output tile is 1x4, the filter size 1x3 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) + * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_1x4_1x3_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_4x4_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} + +/** This OpenCL kernel performs Winograd output transform when the output tile is 1x4, the filter size 1x5 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: 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 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) + * @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] 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] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_1x4_1x5_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_4x4_5x5_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} +#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) #endif // defined(NUM_TILES_X) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H) \ No newline at end of file -- cgit v1.2.1