diff options
Diffstat (limited to 'src/core/CL/cl_kernels/nhwc/transposed_convolution.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/nhwc/transposed_convolution.cl | 57 |
1 files changed, 50 insertions, 7 deletions
diff --git a/src/core/CL/cl_kernels/nhwc/transposed_convolution.cl b/src/core/CL/cl_kernels/nhwc/transposed_convolution.cl index c01a44f117..1ca282caea 100644 --- a/src/core/CL/cl_kernels/nhwc/transposed_convolution.cl +++ b/src/core/CL/cl_kernels/nhwc/transposed_convolution.cl @@ -29,7 +29,7 @@ /** OpenCL kernel to compute the transposed convolution. * * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 + * @note Data type supported: F32/F16/QASYMM8/QASYMM8_SIGNED * @note The transposed convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) * @note The transposed convolution strides must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y (e.g. -DSTRIDE_X=2, -DSTRIDE_Y=2) * @note The spatial dimensions of the weights must be passed at compile time using -DWEI_WIDTH and -DWEI_HEIGHT (e.g. -DWEI_WIDTH=9, -DWEI_HEIGHT=9) @@ -43,15 +43,26 @@ * @note The data type of the source tensor must be passed at compile time using -DSRC_DATA_TYPE (e.g. -DSRC_DATA_TYPE=float) * @note The data type of the weights tensor must be passed at compile time using -DWEI_DATA_TYPE (e.g. -DWEI_DATA_TYPE=float) * @note The data type of the destination tensor must be passed at compile time using -DDST_DATA_TYPE (e.g. -DDST_DATA_TYPE=float) + * @note The data type of the destination tensor must be passed at compile time using -DBIA_DATA_TYPE (e.g. -DBIA_DATA_TYPE=float) * @note The data type of the accumulators must be passed at compile time using -DACC_DATA_TYPE (e.g. -DACC_DATA_TYPE=float) * @note The number of M0 rows (width*height) to process must be passed at compile time using -DM0 (e.g. -DM0=2) * @note The number of N0 output channels to process must be passed at compile time using -DN0 (e.g. -DN0=2) * @note The number of K0 inner accumulations must be passed at compile time using -DK0 (e.g. -DK0=2) * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_N0 (e.g. -DPARTIAL_N0=1) + * @note If bias exists, the compile time argument -DHAS_BIAS should be passed * @note Only the following configurations of M0, N0 and K0 are currently supported: * - M0 = 1 * - N0 = 1 - * - K0 = 2, 3, 4, 8 + * - K0 = 2, 3, 4, 8, 16 + * + * @note In case of QASYMM8/QASYMM8_SIGNED, the following extra information must be passed at compile time: + * - -DIS_QUANTIZED + * - The destination quantization multiplier e.g. -DDST_MULTIPLIER=1234 + * - The destination quantization shift e.g. -DDST_SHIFT=4 + * - The destination offset e.g. -DDST_OFFSET=4 + * - The source offset e.g. -DSRC_OFFSET=4 + * - The weights offset e.g. -DWEI_OFFSET=4 + * - The quantized zero value e.g. -DZERO_VALUE=4 * * * @param[in] src_ptr Pointer to the source tensor. Supported data type: F16/F32 @@ -108,6 +119,12 @@ __kernel void transposed_convolution_nhwc( #define _IDST_CHANNELS DST_CHANNELS #define _IY_MULTIPLIER (_IWEI_WIDTH * _IWEI_HEIGHT) +#if defined(IS_QUANTIZED) +#define _IOUTPUT_TILE cq +#else // defined(IS_QUANTIZED) +#define _IOUTPUT_TILE c +#endif // defined(IS_QUANTIZED) + const int cout = GET_SPATIAL_IDX(0, N0, PARTIAL_N0); // OFM const int mout = GET_SPATIAL_IDX(1, M0, 0); // WIDTH x HEIGHT const int bout = GET_SPATIAL_IDX(2, 1, 0); // BATCH SIZE IDX @@ -144,7 +161,7 @@ __kernel void transposed_convolution_nhwc( { for(int xk = x_start, xi_step = 0; xk >= 0; xk -= STRIDE_X, ++xi_step) { - int weights_y = cout * _IY_MULTIPLIER + yk * _IWEI_WIDTH + xk; + const int weights_y = cout * _IY_MULTIPLIER + yk * _IWEI_WIDTH + xk; TILE(int, 1, M0, my); @@ -169,12 +186,12 @@ __kernel void transposed_convolution_nhwc( // Initialize tiles LOOP_UNROLLING(int, i, 0, 1, M0, { - a[i].v = 0.f; + a[i].v = ZERO_VALUE; }) LOOP_UNROLLING(int, i, 0, 1, N0, { - b[i].v = 0.f; + b[i].v = ZERO_VALUE; }) // Load tile from the src tensor @@ -185,6 +202,12 @@ __kernel void transposed_convolution_nhwc( // Compute the matrix multiplication between two tiles T_MMUL(SRC_DATA_TYPE, WEI_DATA_TYPE, ACC_DATA_TYPE, M0, N0, K0, NT, T, a, b, c); + +#if defined(IS_QUANTIZED) + // Apply the offset correction (correction usually needed for asymmetric quantized computation) + // The computation is not performed if both SRC_OFFSET and WEI_OFFSET are zero + T_OFFSET_CORRECTION(ACC_DATA_TYPE, M0, N0, K0, SRC_OFFSET, WEI_OFFSET, a, b, c); +#endif // defined(IS_QUANTIZED) } // This #if directive should be removed in case of dynamic tensor support @@ -198,7 +221,7 @@ __kernel void transposed_convolution_nhwc( // Initialize tiles LOOP_UNROLLING(int, i, 0, 1, M0, { - a[i].v = 0.f; + a[i].v = ZERO_VALUE; }) // Load tile from the src tensor @@ -211,11 +234,23 @@ __kernel void transposed_convolution_nhwc( // Compute the matrix multiplication between two tiles T_MMUL(SRC_DATA_TYPE, WEI_DATA_TYPE, ACC_DATA_TYPE, M0, N0, 1, NT, T, a, b, c); + +#if defined(IS_QUANTIZED) + // Apply the offset correction (correction usually needed for asymmetric quantized computation) + // The computation is not performed if both SRC_OFFSET and WEI_OFFSET are zero + T_OFFSET_CORRECTION(ACC_DATA_TYPE, M0, N0, 1, SRC_OFFSET, WEI_OFFSET, a, b, c); +#endif // defined(IS_QUANTIZED) } #endif // defined(LEFTOVER_LOOP) } } +#if defined(IS_QUANTIZED) + const int total_pixels = floor((1 + y_start / (float)STRIDE_Y)) * floor(1 + x_start / (float)STRIDE_X); + + T_ADD_CONSTANT(ACC_DATA_TYPE, M0, N0, c, (total_pixels * _ISRC_CHANNELS * SRC_OFFSET * WEI_OFFSET), c); +#endif // defined(IS_QUANTIZED) + #if defined(HAS_BIAS) TILE(BIA_DATA_TYPE, 1, N0, bias0); @@ -226,6 +261,14 @@ __kernel void transposed_convolution_nhwc( #endif // HAS_BIAS +#if defined(IS_QUANTIZED) + + TILE(DST_DATA_TYPE, M0, N0, cq); + + // Quantize the tile + T_QUANTIZE8_ASYMMETRIC(ACC_DATA_TYPE, DST_DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, c, cq); +#endif // defined(IS_QUANTIZED) + TILE(uint, M0, 1, dst_indirect_y); // Calculate the destination indirect Y @@ -238,7 +281,7 @@ __kernel void transposed_convolution_nhwc( bool x_cond = PARTIAL_N0 != 0 && get_global_id(0) == 0; // Store the tile in reverse order so the invalid values are overwritten with the valid ones - T_STORE_INDIRECT_WIDTH_SELECT(DST_DATA_TYPE, M0, N0, PARTIAL_N0, DST_TENSOR_TYPE, dst, cout, dst_stride_y, x_cond, c, dst_indirect_y); + T_STORE_INDIRECT_WIDTH_SELECT(DST_DATA_TYPE, M0, N0, PARTIAL_N0, DST_TENSOR_TYPE, dst, cout, dst_stride_y, x_cond, _IOUTPUT_TILE, dst_indirect_y); #undef _IWEI_WIDTH #undef _IWEI_HEIGHT |