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author | Sheri Zhang <sheri.zhang@arm.com> | 2021-04-15 12:58:20 +0100 |
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committer | Sheri Zhang <sheri.zhang@arm.com> | 2021-04-19 09:59:51 +0000 |
commit | 4f1650f0c9919f0bac5024b8e31c0f754d25aec3 (patch) | |
tree | 9c434cd214c21cda7533ba1447608237afe77ac9 /src/core/CL/cl_kernels/normalize_planar_yuv_layer_quantized.cl | |
parent | c6fcfb4adc37a6cf09472168dc177234d4fabdfa (diff) | |
download | ComputeLibrary-4f1650f0c9919f0bac5024b8e31c0f754d25aec3.tar.gz |
Remove padding from CLNormalizePlanarYUVLayerKernel
Resolve: COMPMID-3911
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: Id5615b6a8b52030fb611a1a04bcd4664b8232e90
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5451
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/normalize_planar_yuv_layer_quantized.cl')
-rw-r--r-- | src/core/CL/cl_kernels/normalize_planar_yuv_layer_quantized.cl | 54 |
1 files changed, 31 insertions, 23 deletions
diff --git a/src/core/CL/cl_kernels/normalize_planar_yuv_layer_quantized.cl b/src/core/CL/cl_kernels/normalize_planar_yuv_layer_quantized.cl index 27017a08ca..d660fffb58 100644 --- a/src/core/CL/cl_kernels/normalize_planar_yuv_layer_quantized.cl +++ b/src/core/CL/cl_kernels/normalize_planar_yuv_layer_quantized.cl @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2020 Arm Limited. + * Copyright (c) 2018-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -76,17 +76,21 @@ __kernel void normalize_planar_yuv_layer_q8_nchw(TENSOR3D_DECLARATION(src), const uint current_slice = get_global_id(2) % NUM_CHANNELS; - float16 curr_mean_flt = (float16)(*((__global DATA_TYPE *)(mean.ptr + current_slice * sizeof(DATA_TYPE)))); - curr_mean_flt = round(curr_mean_flt - OFFSET_FLT) * SCALE_FLT; + VEC_DATA_TYPE(float, VEC_SIZE) + curr_mean_flt = (VEC_DATA_TYPE(float, VEC_SIZE))(*((__global DATA_TYPE *)(mean.ptr + current_slice * sizeof(DATA_TYPE)))); + curr_mean_flt = round(curr_mean_flt - OFFSET_FLT) * SCALE_FLT; - float16 curr_std_flt = (float16)(*((__global DATA_TYPE *)(std.ptr + current_slice * sizeof(DATA_TYPE)))); - curr_std_flt = round(curr_std_flt - OFFSET_FLT) * SCALE_FLT; + VEC_DATA_TYPE(float, VEC_SIZE) + curr_std_flt = (VEC_DATA_TYPE(float, VEC_SIZE))(*((__global DATA_TYPE *)(std.ptr + current_slice * sizeof(DATA_TYPE)))); + curr_std_flt = round(curr_std_flt - OFFSET_FLT) * SCALE_FLT; - float16 data_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)src.ptr), float16); - data_flt = round(data_flt - OFFSET_FLT) * SCALE_FLT; + VEC_DATA_TYPE(float, VEC_SIZE) + data_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)src.ptr), VEC_DATA_TYPE(float, VEC_SIZE)); + data_flt = round(data_flt - OFFSET_FLT) * SCALE_FLT; // Perform normalization - float16 res_flt = (data_flt - curr_mean_flt) / curr_std_flt; + VEC_DATA_TYPE(float, VEC_SIZE) + res_flt = (data_flt - curr_mean_flt) / curr_std_flt; const TYPE res_u8 = CONVERT_SAT(round(res_flt / SCALE_FLT) + OFFSET_FLT, TYPE); VSTORE(VEC_SIZE) @@ -101,6 +105,7 @@ __kernel void normalize_planar_yuv_layer_q8_nchw(TENSOR3D_DECLARATION(src), * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE e.g. -DVEC_SIZE=8 * @note The quantization offset should be given as a preprocessor argument using -DOFFSET e.g. -DOFFSET=8 * @note The quantization scale should be given as a preprocessor argument using -DSCALE e.g. -DSCALE=8 + * @note Leftover vector size has to be passed at compile time using -DVEC_SIZE_LEFTOVER. e.g. -DVEC_SIZE_LEFTOVER=3. It is defined as the remainder between the input's first dimension and VEC_SIZE * * @param[in] src_ptr Pointer to the first source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED * @param[in] src_stride_x Stride of the first source tensor in X dimension (in bytes) @@ -132,27 +137,30 @@ __kernel void normalize_planar_yuv_layer_q8_nhwc(TENSOR3D_DECLARATION(src), VECTOR_DECLARATION(mean), VECTOR_DECLARATION(std)) { - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); - Vector mean = CONVERT_TO_VECTOR_STRUCT(mean); - Vector std = CONVERT_TO_VECTOR_STRUCT(std); + uint x_offs = max((int)(get_global_id(0) * VEC_SIZE * sizeof(DATA_TYPE) - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE * sizeof(DATA_TYPE)), 0); - const uint current_slice = get_global_id(0); + __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x_offs + get_global_id(1) * src_stride_y + get_global_id(2) * src_stride_z; + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_offs + get_global_id(1) * dst_stride_y + get_global_id(2) * dst_stride_z; + __global uchar *mean_addr = mean_ptr + mean_offset_first_element_in_bytes + x_offs; + __global uchar *std_addr = std_ptr + std_offset_first_element_in_bytes + x_offs; - float16 curr_mean_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(mean.ptr + current_slice * VEC_SIZE * sizeof(DATA_TYPE))), float16); - curr_mean_flt = round(curr_mean_flt - OFFSET_FLT) * SCALE_FLT; + VEC_DATA_TYPE(float, VEC_SIZE) + curr_mean_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)mean_addr), VEC_DATA_TYPE(float, VEC_SIZE)); + curr_mean_flt = round(curr_mean_flt - OFFSET_FLT) * SCALE_FLT; - float16 curr_std_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(std.ptr + current_slice * VEC_SIZE * sizeof(DATA_TYPE))), float16); - curr_std_flt = round(curr_std_flt - OFFSET_FLT) * SCALE_FLT; + VEC_DATA_TYPE(float, VEC_SIZE) + curr_std_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)std_addr), VEC_DATA_TYPE(float, VEC_SIZE)); + curr_std_flt = round(curr_std_flt - OFFSET_FLT) * SCALE_FLT; - float16 data_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)src.ptr), float16); - data_flt = round(data_flt - OFFSET_FLT) * (SCALE_FLT); + VEC_DATA_TYPE(float, VEC_SIZE) + data_flt = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)src_addr), VEC_DATA_TYPE(float, VEC_SIZE)); + data_flt = round(data_flt - OFFSET_FLT) * (SCALE_FLT); // Perform normalization - float16 res_flt = (data_flt - curr_mean_flt) / curr_std_flt; + VEC_DATA_TYPE(float, VEC_SIZE) + res_flt = (data_flt - curr_mean_flt) / curr_std_flt; - const TYPE res_u8 = CONVERT_SAT(round(res_flt / SCALE_FLT) + OFFSET_FLT, TYPE); - VSTORE(VEC_SIZE) - (res_u8, 0, (__global DATA_TYPE *)dst.ptr); + const TYPE res0 = CONVERT_SAT(round(res_flt / SCALE_FLT) + OFFSET_FLT, TYPE); + STORE_VECTOR_SELECT(res, DATA_TYPE, dst_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); } #endif // defined(DATA_TYPE) && defined(VEC_SIZE) && defined(OFFSET) && defined(SCALE) |