diff options
Diffstat (limited to 'src/core/CL/cl_kernels/depthwise_convolution.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/depthwise_convolution.cl | 363 |
1 files changed, 343 insertions, 20 deletions
diff --git a/src/core/CL/cl_kernels/depthwise_convolution.cl b/src/core/CL/cl_kernels/depthwise_convolution.cl index 4f6fdfafee..8ee0185fe6 100644 --- a/src/core/CL/cl_kernels/depthwise_convolution.cl +++ b/src/core/CL/cl_kernels/depthwise_convolution.cl @@ -51,13 +51,18 @@ inline float2 convolution1x3_stride_1(__global const uchar *left_pixel, const float middle_coeff, const float right_coeff) { +#if(DILATION_X == 1 && DILATION_Y == 1) float4 temp = vload4(0, (__global float *)left_pixel); float2 left = CONVERT(temp.s01, float2); float2 middle = CONVERT(temp.s12, float2); float2 right = CONVERT(temp.s23, float2); - return left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff; +#else /* DILATION_X==1 && DILATION_Y==1 */ + return vload2(0, (__global float *)left_pixel) * (float2)left_coeff + + vload2(0, (__global float *)(left_pixel) + DILATION_X) * (float2)middle_coeff + + vload2(0, (__global float *)(left_pixel) + 2 * DILATION_X) * (float2)right_coeff; +#endif /* DILATION_X==1 && DILATION_Y==1 */ } /** Compute a 1D horizontal convolution of size 3 and stride 2 for floating point type. @@ -74,6 +79,7 @@ inline float2 convolution1x3_stride_2(__global const uchar *left_pixel, const float middle_coeff, const float right_coeff) { +#if(DILATION_X == 1 && DILATION_Y == 1) float4 temp0 = vload4(0, (__global float *)left_pixel); float temp1 = *((__global float *)(left_pixel + 4 * sizeof(float))); @@ -82,6 +88,14 @@ inline float2 convolution1x3_stride_2(__global const uchar *left_pixel, float2 right = CONVERT((float2)(temp0.s2, temp1), float2); return left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff; +#else /* DILATION_X==1 && DILATION_Y==1 */ + __global float *left_pixel_float = (__global float *)left_pixel; + + return vload4(0, left_pixel_float).s02 * (float2)left_coeff + + vload4(0, left_pixel_float + DILATION_X).s02 * (float2)middle_coeff + + vload4(0, left_pixel_float + DILATION_X * 2).s02 * (float2)right_coeff; + +#endif /* DILATION_X==1 && DILATION_Y==1 */ } /** Compute a 1D horizontal convolution of size 3 and stride 3 for floating point type. @@ -98,6 +112,7 @@ inline float2 convolution1x3_stride_3(__global const uchar *left_pixel, const float middle_coeff, const float right_coeff) { +#if(DILATION_X == 1 && DILATION_Y == 1) float4 temp0 = vload4(0, (__global float *)left_pixel); float2 temp1 = vload2(0, (__global float *)(left_pixel + 4 * sizeof(float))); @@ -106,6 +121,13 @@ inline float2 convolution1x3_stride_3(__global const uchar *left_pixel, float2 right = CONVERT((float2)(temp0.s2, temp1.s1), float2); return left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff; +#else /* DILATION_X==1 && DILATION_Y==1 */ + __global float *left_pixel_float = (__global float *)left_pixel; + + return (float2)(*left_pixel_float, *(left_pixel_float + 3)) * (float2)left_coeff + + (float2)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 3)) * (float2)middle_coeff + + (float2)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 3)) * (float2)right_coeff; +#endif /* DILATION_X==1 && DILATION_Y==1 */ } /** Apply a 3x3 convolution matrix to a single channel F32 input image and return the result. @@ -139,8 +161,8 @@ inline float2 convolution3x3( float2 pixels; pixels = convolution1x3(offset(src, 0, 0), mat0, mat1, mat2); - pixels += convolution1x3(offset(src, 0, 1), mat3, mat4, mat5); - pixels += convolution1x3(offset(src, 0, 2), mat6, mat7, mat8); + pixels += convolution1x3(offset(src, 0, DILATION_Y), mat3, mat4, mat5); + pixels += convolution1x3(offset(src, 0, DILATION_Y * 2), mat6, mat7, mat8); return pixels; } @@ -216,6 +238,8 @@ __kernel void depthwise_convolution_3x3( } #endif //defined(CONV_STRIDE_X) +#if(DILATION_X == 1 && DILATION_Y == 1) + #define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0, weights_row0) \ ({ \ acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \ @@ -268,6 +292,227 @@ __kernel void depthwise_convolution_3x3( acc.s3 = fma(src1.s0, weights_row0.s2, acc.s3); \ }) +#else /* DILATION_X==1 && DILATION_Y==1 */ + +#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0) \ + ({ \ + acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \ + acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \ + acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \ + acc.s1 = fma(src0_left.s1, weights_row0.s0, acc.s1); \ + acc.s1 = fma(src0_mid.s1, weights_row0.s1, acc.s1); \ + acc.s1 = fma(src0_right.s1, weights_row0.s2, acc.s1); \ + }) + +#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0) \ + ({ \ + acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \ + acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \ + acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \ + acc.s1 = fma(src0_left.s2, weights_row0.s0, acc.s1); \ + acc.s1 = fma(src0_mid.s2, weights_row0.s1, acc.s1); \ + acc.s1 = fma(src0_right.s2, weights_row0.s2, acc.s1); \ + }) + +#define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0) \ + ({ \ + acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \ + acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \ + acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \ + acc.s1 = fma(src0_left.s1, weights_row0.s0, acc.s1); \ + acc.s1 = fma(src0_mid.s1, weights_row0.s1, acc.s1); \ + acc.s1 = fma(src0_right.s1, weights_row0.s2, acc.s1); \ + acc.s2 = fma(src0_left.s2, weights_row0.s0, acc.s2); \ + acc.s2 = fma(src0_mid.s2, weights_row0.s1, acc.s2); \ + acc.s2 = fma(src0_right.s2, weights_row0.s2, acc.s2); \ + acc.s3 = fma(src0_left.s3, weights_row0.s0, acc.s3); \ + acc.s3 = fma(src0_mid.s3, weights_row0.s1, acc.s3); \ + acc.s3 = fma(src0_right.s3, weights_row0.s2, acc.s3); \ + }) + +#define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0) \ + ({ \ + acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \ + acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \ + acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \ + acc.s1 = fma(src0_left.s2, weights_row0.s0, acc.s1); \ + acc.s1 = fma(src0_mid.s2, weights_row0.s1, acc.s1); \ + acc.s1 = fma(src0_right.s2, weights_row0.s2, acc.s1); \ + acc.s2 = fma(src0_left.s4, weights_row0.s0, acc.s2); \ + acc.s2 = fma(src0_mid.s4, weights_row0.s1, acc.s2); \ + acc.s2 = fma(src0_right.s4, weights_row0.s2, acc.s2); \ + acc.s3 = fma(src0_left.s6, weights_row0.s0, acc.s3); \ + acc.s3 = fma(src0_mid.s6, weights_row0.s1, acc.s3); \ + acc.s3 = fma(src0_right.s6, weights_row0.s2, acc.s3); \ + }) + +/** Get the pointer position at a certain offset in x and y direction. + * + * @param[in] ptr Pointer to the starting position of the buffer + * @param[in] x Relative X position + * @param[in] y Relative Y position + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + */ +inline __global uchar *ptr_offset(__global uchar *ptr, const int x, const int y, const int stride_x, const int stride_y) +{ + return ptr + x * stride_x + y * stride_y; +} + +/** Perform 3x3 convolution for stride_x=1 and stride_y=1 when DILATION_X>1 and DILATION_Y>1 for F32 + * + * @param[in] src_addr Pointer to the starting position of where to perform the convolution + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] y_offset Offset from the source tensor from which to start convolution + * @param[in] weights_addr Pointer from where to get weights + * @param[in] weights_stride_y Stride of weights tesnsor in Y dimension + */ +inline float2 convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(__global uchar *src_addr, const int stride_x_bytes, const int stride_y_bytes, + const int y_offset, __global uchar *weights_addr, const int weights_stride_y) +{ + // Load the weights + float3 weights_row0 = vload3(0, (__global float *)(weights_addr + 0 * weights_stride_y)); + float3 weights_row1 = vload3(0, (__global float *)(weights_addr + 1 * weights_stride_y)); + float3 weights_row2 = vload3(0, (__global float *)(weights_addr + 2 * weights_stride_y)); + + float2 pixels0 = 0.0f; + + float2 src00_left = vload2(0, (__global float *)ptr_offset(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); // Row0 + float2 src00_mid = vload2(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); + float2 src00_right = vload2(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); + + float2 src10_left = vload2(0, (__global float *)ptr_offset(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); // Row1 + float2 src10_mid = vload2(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); + float2 src10_right = vload2(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); + + float2 src20_left = vload2(0, (__global float *)ptr_offset(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); // Row2 + float2 src20_mid = vload2(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); + float2 src20_right = vload2(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); + + CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src00_left, src00_mid, src00_right, weights_row0); + CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src10_left, src10_mid, src10_right, weights_row1); + CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src20_left, src20_mid, src20_right, weights_row2); + + return pixels0; +} + +/** Perform 3x3 convolution for stride_x=2 and stride_y=2 when DILATION_X>1 and DILATION_Y>1 for F32 + * + * @param[in] src_addr Pointer to the starting position of where to perform the convolution + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] y_offset Offset from the source tensor from which to start convolution + * @param[in] weights_addr Pointer from where to get weights + * @param[in] weights_stride_y Stride of weights tesnsor in Y dimension + */ +inline float2 convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(__global uchar *src_addr, const int stride_x_bytes, const int stride_y_bytes, + const int y_offset, __global uchar *weights_addr, const int weights_stride_y) +{ + // Load the weights + float3 weights_row0 = vload3(0, (__global float *)(weights_addr + 0 * weights_stride_y)); + float3 weights_row1 = vload3(0, (__global float *)(weights_addr + 1 * weights_stride_y)); + float3 weights_row2 = vload3(0, (__global float *)(weights_addr + 2 * weights_stride_y)); + + float2 pixels0 = 0.0f; + + float3 src00_left = vload3(0, (__global float *)ptr_offset(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); // Row0 + float3 src00_mid = vload3(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); + float3 src00_right = vload3(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); + + float3 src10_left = vload3(0, (__global float *)ptr_offset(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); // Row1 + float3 src10_mid = vload3(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); + float3 src10_right = vload3(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); + + float3 src20_left = vload3(0, (__global float *)ptr_offset(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); // Row2 + float3 src20_mid = vload3(0, (__global float *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); + float3 src20_right = vload3(0, (__global float *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); + + CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src00_left, src00_mid, src00_right, weights_row0); + CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src10_left, src10_mid, src10_right, weights_row1); + CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src20_left, src20_mid, src20_right, weights_row2); + + return pixels0; +} + +/** Perform 3x3 convolution for stride_x=1 and stride_y=1 when DILATION_X>1 and DILATION_Y>1 for f16 + * + * @param[in] src_addr Pointer to the starting position of where to perform the convolution + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] y_offset Offset from the source tensor from which to start convolution + * @param[in] weights_addr Pointer from where to get weights + * @param[in] weights_stride_y Stride of weights tesnsor in Y dimension + */ +inline half4 convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(__global uchar *src_addr, const int stride_x_bytes, const int stride_y_bytes, + const int y_offset, __global uchar *weights_addr, const int weights_stride_y) +{ + // Load the weights + half3 weights_row0 = vload3(0, (__global half *)(weights_addr + 0 * weights_stride_y)); + half3 weights_row1 = vload3(0, (__global half *)(weights_addr + 1 * weights_stride_y)); + half3 weights_row2 = vload3(0, (__global half *)(weights_addr + 2 * weights_stride_y)); + + half4 pixels0 = 0.0f; + + half4 src00_left = vload4(0, (__global half *)ptr_offset(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); // Row0 + half4 src00_mid = vload4(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); + half4 src00_right = vload4(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); + + half4 src10_left = vload4(0, (__global half *)ptr_offset(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); // Row1 + half4 src10_mid = vload4(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); + half4 src10_right = vload4(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); + + half4 src20_left = vload4(0, (__global half *)ptr_offset(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); // Row2 + half4 src20_mid = vload4(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); + half4 src20_right = vload4(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); + + CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src00_left, src00_mid, src00_right, weights_row0); + CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src10_left, src10_mid, src10_right, weights_row1); + CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src20_left, src20_mid, src20_right, weights_row2); + + return pixels0; +} + +/** Perform 3x3 convolution for stride_x=2 and stride_y=2 when DILATION_X>1 and DILATION_Y>1 for F16 + * + * @param[in] src_addr Pointer to the starting position of where to perform the convolution + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] y_offset Offset from the source tensor from which to start convolution + * @param[in] weights_addr Pointer from where to get weights + * @param[in] weights_stride_y Stride of weights tesnsor in Y dimension + */ +inline half4 convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(__global uchar *src_addr, const int stride_x_bytes, const int stride_y_bytes, + const int y_offset, __global uchar *weights_addr, const int weights_stride_y) +{ + // Load the weights + half3 weights_row0 = vload3(0, (__global half *)(weights_addr + 0 * weights_stride_y)); + half3 weights_row1 = vload3(0, (__global half *)(weights_addr + 1 * weights_stride_y)); + half3 weights_row2 = vload3(0, (__global half *)(weights_addr + 2 * weights_stride_y)); + + half4 pixels0 = 0.0f; + + half8 src00_left = vload8(0, (__global half *)ptr_offset(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); // Row0 + half8 src00_mid = vload8(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); + half8 src00_right = vload8(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes)); + + half8 src10_left = vload8(0, (__global half *)ptr_offset(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); // Row1 + half8 src10_mid = vload8(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); + half8 src10_right = vload8(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); + + half8 src20_left = vload8(0, (__global half *)ptr_offset(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); // Row2 + half8 src20_mid = vload8(0, (__global half *)ptr_offset(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); + half8 src20_right = vload8(0, (__global half *)ptr_offset(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); + + CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src00_left, src00_mid, src00_right, weights_row0); + CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src10_left, src10_mid, src10_right, weights_row1); + CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src20_left, src20_mid, src20_right, weights_row2); + + return pixels0; +} + +#endif /* DILATION_X==1 && DILATION_Y==1 */ + /** This OpenCL kernel is optimized for Bifrost architectures and computes the depthwise convolution 3x3 when both * stride_x and stride_y are equal to 1 * @@ -326,6 +571,7 @@ __kernel void depthwise_convolution_3x3_stridex1_stridey1_bifrost_f32( __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; __global uchar *src_addr = src.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; +#if(DILATION_X == 1 && DILATION_Y == 1) // Load the weights float3 weights_row0 = vload3(0, (__global float *)(weights_addr + 0 * weights_stride_y)); float3 weights_row1 = vload3(0, (__global float *)(weights_addr + 1 * weights_stride_y)); @@ -352,6 +598,19 @@ __kernel void depthwise_convolution_3x3_stridex1_stridey1_bifrost_f32( CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels3, src40, weights_row1); CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels3, src50, weights_row2); +#else /* DILATION_X==1 && DILATION_Y==1 */ + + //3x3 Convolution of elements starting in 0th row + pixels0 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, src.stride_x, src.stride_y, 0, weights_addr, weights_stride_y); + //3x3 Convolution of elements starting in 1st row + pixels1 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, src.stride_x, src.stride_y, 1, weights_addr, weights_stride_y); + //3x3 Convolution of elements starting in 2nd row + pixels2 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, src.stride_x, src.stride_y, 2, weights_addr, weights_stride_y); + //3x3 Convolution of elements starting in 3rd row + pixels3 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, src.stride_x, src.stride_y, 3, weights_addr, weights_stride_y); + +#endif /* DILATION_X==1 && DILATION_Y==1 */ + #ifdef HAS_BIAS Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); @@ -425,6 +684,8 @@ __kernel void depthwise_convolution_3x3_stridex2_stridey2_bifrost_f32( __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; __global uchar *src_addr = src.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; +#if(DILATION_X == 1 && DILATION_Y == 1) + // Load the weights float3 weights_row0 = vload3(0, (__global float *)(weights_addr + 0 * weights_stride_y)); float3 weights_row1 = vload3(0, (__global float *)(weights_addr + 1 * weights_stride_y)); @@ -449,6 +710,14 @@ __kernel void depthwise_convolution_3x3_stridex2_stridey2_bifrost_f32( CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels1, src30, src31, weights_row1); CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels1, src40, src41, weights_row2); +#else /* DILATION_X==1 && DILATION_Y==1 */ + + //3x3 Convolution of elements starting in 0th row + pixels0 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(src_addr, src.stride_x, src.stride_y, 0, weights_addr, weights_stride_y); + //3x3 Convolution of elements starting in 2nd row + pixels1 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(src_addr, src.stride_x, src.stride_y, 2, weights_addr, weights_stride_y); +#endif /* DILATION_X==1 && DILATION_Y==1 */ + #ifdef HAS_BIAS Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); @@ -632,11 +901,12 @@ __kernel void depthwise_convolution_reshape_weights_generic( } #endif //defined(SRC_WIDTH) && defined(DATA_TYPE) -#if defined(STRIDE_X) && defined(STRIDE_Y) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(PAD_RIGHT) && defined(PAD_BOTTOM) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE) && defined(PAD_VALUE) && defined(DEPTH_MULTIPLIER) +#if defined(STRIDE_X) && defined(STRIDE_Y) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(PAD_RIGHT) && defined(PAD_BOTTOM) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE) && defined(PAD_VALUE) && defined(DEPTH_MULTIPLIER) && defined(DILATION_X) && defined(DILATION_Y) /** This kernel performs a reshaping of the input tensor to a tensor used to perform depthwise convolution using vector to matrix multiplication. * * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float * @note The convolution information must be passed at compile time using -DSTRIDE_X, -DSTRIDE_Y, -DPAD_LEFT, -DPAD_TOP, -DPAD_RIGHT, -DPAD_BOTTOM, -DKERNEL_WIDHT, -DKERNEL_HEIGHT, -DSRC_WIDTH, -DSRC_HEIGHT, -DDEPTH_MULTIPLIER + * @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 * * @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) @@ -661,7 +931,7 @@ __kernel void depthwise_im2col(TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(d const int src_pixel_linear = get_global_id(1) * STRIDE_X; const int full_length = SRC_WIDTH + PAD_LEFT + PAD_RIGHT; - const int max_initial_x = STRIDE_X * (((full_length - KERNEL_WIDTH) / STRIDE_X) + 1); + const int max_initial_x = STRIDE_X * (((full_length - (KERNEL_WIDTH + (KERNEL_WIDTH - 1) * (DILATION_X - 1))) / STRIDE_X) + 1); const int src_x = -PAD_LEFT + src_pixel_linear % max_initial_x; const int src_y = -PAD_TOP + src_pixel_linear / max_initial_x * STRIDE_Y; @@ -670,9 +940,9 @@ __kernel void depthwise_im2col(TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(d __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + src_z * in_stride_z; __global DATA_TYPE *output_ptr = ((__global DATA_TYPE *)(dst.ptr)); - for(int y = src_y; y < src_y + KERNEL_HEIGHT; ++y) + for(int y = src_y; y < src_y + KERNEL_HEIGHT + (KERNEL_HEIGHT - 1) * (DILATION_Y - 1); y += DILATION_Y) { - for(int x = src_x; x < src_x + KERNEL_WIDTH; ++x, ++output_ptr) + for(int x = src_x; x < src_x + KERNEL_WIDTH + (KERNEL_WIDTH - 1) * (DILATION_X - 1); x += DILATION_X, ++output_ptr) { if(x < 0 || x >= SRC_WIDTH || y < 0 || y >= SRC_HEIGHT) { @@ -754,6 +1024,8 @@ inline half4 convolution1x3_stride_1_f16(__global const uchar *left_pixel, const half middle_coeff, const half right_coeff) { +#if(DILATION_X == 1 && DILATION_Y == 1) + half8 temp = vload8(0, (__global half *)left_pixel); half4 left = CONVERT(temp.s0123, half4); @@ -761,6 +1033,12 @@ inline half4 convolution1x3_stride_1_f16(__global const uchar *left_pixel, half4 right = CONVERT(temp.s2345, half4); return left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff; +#else /* DILATION_X==1 && DILATION_Y==1 */ + return vload4(0, (__global half *)left_pixel) * (half4)left_coeff + + vload4(0, (__global half *)(left_pixel) + DILATION_X) * (half4)middle_coeff + + vload4(0, (__global half *)(left_pixel) + 2 * DILATION_X) * (half4)right_coeff; + +#endif /* DILATION_X==1 && DILATION_Y==1 */ } /** Compute a 1D horizontal convolution of size 3 and stride 2 for 16bit floating point type. @@ -777,6 +1055,8 @@ inline half4 convolution1x3_stride_2_f16(__global const uchar *left_pixel, const half middle_coeff, const half right_coeff) { +#if(DILATION_X == 1 && DILATION_Y == 1) + half8 temp0 = vload8(0, (__global half *)left_pixel); half temp1 = *((__global half *)(left_pixel + 8 * sizeof(half))); @@ -785,6 +1065,15 @@ inline half4 convolution1x3_stride_2_f16(__global const uchar *left_pixel, half4 right = CONVERT((half4)(temp0.s246, temp1), half4); return left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff; +#else /* DILATION_X==1 && DILATION_Y==1 */ + + __global half *left_pixel_float = (__global half *)left_pixel; + + return (half4)(*left_pixel_float, *(left_pixel_float + 2), *(left_pixel_float + 4), *(left_pixel_float + 6)) * (half4)left_coeff + + (half4)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 2), *(left_pixel_float + DILATION_X + 4), *(left_pixel_float + DILATION_X + 6)) * (half4)middle_coeff + + (half4)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 2), *(left_pixel_float + DILATION_X * 2 + 4), *(left_pixel_float + DILATION_X * 2 + 6)) * (half4)right_coeff; + +#endif /* DILATION_X==1 && DILATION_Y==1 */ } /** Compute a 1D horizontal convolution of size 3 and stride 3 for 16bit floating point type. @@ -801,6 +1090,8 @@ inline half4 convolution1x3_stride_3_f16(__global const uchar *left_pixel, const half middle_coeff, const half right_coeff) { +#if(DILATION_X == 1 && DILATION_Y == 1) + half16 temp0 = vload16(0, (__global half *)left_pixel); half4 left = CONVERT(temp0.s0369, half4); @@ -808,6 +1099,15 @@ inline half4 convolution1x3_stride_3_f16(__global const uchar *left_pixel, half4 right = CONVERT(temp0.s258B, half4); return left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff; +#else /* DILATION_X==1 && DILATION_Y==1 */ + + __global half *left_pixel_float = (__global half *)left_pixel; + + return (half4)(*left_pixel_float, *(left_pixel_float + 3), *(left_pixel_float + 6), *(left_pixel_float + 9)) * (half4)left_coeff + + (half4)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 3), *(left_pixel_float + DILATION_X + 6), *(left_pixel_float + DILATION_X + 9)) * (half4)middle_coeff + + (half4)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 3), *(left_pixel_float + DILATION_X * 2 + 6), *(left_pixel_float + DILATION_X * 2 + 9)) * (half4)right_coeff; + +#endif /* DILATION_X==1 && DILATION_Y==1 */ } /** Apply a 3x3 convolution matrix to a single channel F16 input image and return the result. @@ -841,8 +1141,8 @@ inline half4 convolution3x3_f16( half4 pixels; pixels = convolution1x3_f16(offset(src, 0, 0), mat0, mat1, mat2); - pixels += convolution1x3_f16(offset(src, 0, 1), mat3, mat4, mat5); - pixels += convolution1x3_f16(offset(src, 0, 2), mat6, mat7, mat8); + pixels += convolution1x3_f16(offset(src, 0, DILATION_Y), mat3, mat4, mat5); + pixels += convolution1x3_f16(offset(src, 0, DILATION_Y * 2), mat6, mat7, mat8); return pixels; } @@ -986,6 +1286,7 @@ __kernel void depthwise_convolution_3x3_stridex1_stridey1_bifrost_f16( __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; __global uchar *src_addr = src.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; +#if(DILATION_X == 1 && DILATION_Y == 1) // Load the weights half3 weights_row0 = vload3(0, (__global half *)(weights_addr + 0 * weights_stride_y)); half3 weights_row1 = vload3(0, (__global half *)(weights_addr + 1 * weights_stride_y)); @@ -1012,6 +1313,19 @@ __kernel void depthwise_convolution_3x3_stridex1_stridey1_bifrost_f16( CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels3, src40, weights_row1); CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels3, src50, weights_row2); +#else /* DILATION_X==1 && DILATION_Y==1 */ + + //3x3 Convolution of elements starting in 0th row + pixels0 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, src.stride_x, src.stride_y, 0, weights_addr, weights_stride_y); + //3x3 Convolution of elements starting in 1st row + pixels1 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, src.stride_x, src.stride_y, 1, weights_addr, weights_stride_y); + //3x3 Convolution of elements starting in 2nd row + pixels2 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, src.stride_x, src.stride_y, 2, weights_addr, weights_stride_y); + //3x3 Convolution of elements starting in 3rd row + pixels3 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, src.stride_x, src.stride_y, 3, weights_addr, weights_stride_y); + +#endif /* DILATION_X==1 && DILATION_Y==1 */ + #ifdef HAS_BIAS pixels0 += (half4)bias; pixels1 += (half4)bias; @@ -1088,6 +1402,8 @@ __kernel void depthwise_convolution_3x3_stridex2_stridey2_bifrost_f16( __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; __global uchar *src_addr = src.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; +#if(DILATION_X == 1 && DILATION_Y == 1) + // Load the weights half3 weights_row0 = vload3(0, (__global half *)(weights_addr + 0 * weights_stride_y)); half3 weights_row1 = vload3(0, (__global half *)(weights_addr + 1 * weights_stride_y)); @@ -1112,6 +1428,13 @@ __kernel void depthwise_convolution_3x3_stridex2_stridey2_bifrost_f16( CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels1, src30, src31, weights_row1); CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels1, src40, src41, weights_row2); +#else /* DILATION_X==1 && DILATION_Y==1 */ + //3x3 Convolution of elements starting in 0th row + pixels0 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(src_addr, src.stride_x, src.stride_y, 0, weights_addr, weights_stride_y); + //3x3 Convolution of elements starting in 2nd row + pixels1 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(src_addr, src.stride_x, src.stride_y, 2, weights_addr, weights_stride_y); +#endif /* DILATION_X==1 && DILATION_Y==1 */ + #ifdef HAS_BIAS pixels0 += (half4)bias; pixels1 += (half4)bias; @@ -1189,9 +1512,9 @@ __kernel void depthwise_convolution_3x3_nhwc( #if defined(DST_DEPTH) int z = get_global_id(2) % (int)DST_DEPTH; // spatial coordinate y int b = get_global_id(2) / (int)DST_DEPTH; // batch -#else // defined(DST_DEPTH) - int z = get_global_id(2); // spatial coordinate y -#endif // defined(DST_DEPTH) +#else // defined(DST_DEPTH) + int z = get_global_id(2); // spatial coordinate y +#endif // defined(DST_DEPTH) Vector weights = CONVERT_TO_VECTOR_STRUCT(weights); @@ -1203,7 +1526,7 @@ __kernel void depthwise_convolution_3x3_nhwc( int z_coord = 0; int4 offset = 0; - int4 y_offset = ((int4)(y * CONV_STRIDE_X) + (int4)(0, 1, 2, 3) - CONV_PAD_LEFT) * (int4)src_stride_y; + int4 y_offset = ((int4)(y * CONV_STRIDE_X) + (int4)(0, DILATION_X * 1, DILATION_X * 2, DILATION_X * 3) - CONV_PAD_LEFT) * (int4)src_stride_y; // We compute 2x1x1 [C,W,H] elements VEC_FLOAT acc = 0; @@ -1236,16 +1559,16 @@ __kernel void depthwise_convolution_3x3_nhwc( // z == 1 // z_coord can be only negative for z = 0 so we do not need to clamp it // Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset - z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP + 1; + z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y; offset = y_offset + (int4)(z_coord * src_stride_z); VEC_FLOAT values3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); VEC_FLOAT values4 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); VEC_FLOAT values5 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); // z == 2 - // After z = 1 we can simply add src_stride_z to offset without updating z_coord - // However offset can be out-of-bound so we need to check if it is greater than max_offset - offset += (int4)src_stride_z; + // Offset can be out-of-bound so we need to check if it is greater than max_offset + z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y * 2; + offset = y_offset + (int4)(z_coord * src_stride_z); offset = min(offset, (int4)max_offset); VEC_FLOAT values6 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); VEC_FLOAT values7 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); @@ -1338,9 +1661,9 @@ __kernel void depthwise_convolution_3x3_nhwc_stride1( #if defined(DST_DEPTH) int z = get_global_id(2) % (int)DST_DEPTH; // spatial coordinate y int b = get_global_id(2) / (int)DST_DEPTH; // batch -#else // defined(DST_DEPTH) - int z = get_global_id(2); // spatial coordinate y -#endif // defined(DST_DEPTH) +#else // defined(DST_DEPTH) + int z = get_global_id(2); // spatial coordinate y +#endif // defined(DST_DEPTH) Vector weights = CONVERT_TO_VECTOR_STRUCT(weights); |