From 79f88e6d825402388bb79fc123ee2dfe01985bda Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Wed, 18 Sep 2019 15:02:53 +0100 Subject: COMPMID-2313: Implement CL INSTANCE_NORMALIZATION function Change-Id: If11799bef1bbb973d4287ffc1c6eb4c2a28bbf5f Signed-off-by: Manuel Bottini Reviewed-on: https://review.mlplatform.org/c/1989 Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio --- src/core/CL/cl_kernels/instance_normalization.cl | 181 +++++++++++++++++++++++ 1 file changed, 181 insertions(+) create mode 100644 src/core/CL/cl_kernels/instance_normalization.cl (limited to 'src/core/CL/cl_kernels/instance_normalization.cl') diff --git a/src/core/CL/cl_kernels/instance_normalization.cl b/src/core/CL/cl_kernels/instance_normalization.cl new file mode 100644 index 0000000000..699597e8a8 --- /dev/null +++ b/src/core/CL/cl_kernels/instance_normalization.cl @@ -0,0 +1,181 @@ +/* + * Copyright (c) 2019 ARM Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "helpers.h" + +#if defined(VEC_SIZE) && defined(DATA_TYPE) && defined(GAMMA) && defined(BETA) && defined(EPSILON) && defined(DIM_X) && defined(DIM_Y) && defined(DIM_Z) +/** This function normalizes the input 2D tensor across the first dimension with respect to mean and standard deviation of the same dimension. + * + * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 + * @attention Data type should be passed using the -DDATA_TYPE=data_type compile flag, e.g. -DDATA_TYPE=float + * @attention The scale scalar value applied to the normalized tensor should be passed using the -DGAMMA=value compile flag, e.g. -DGAMMA=1.3 + * @attention The offset scalar value applied to the normalized tensor should be passed using the -DBETA=value compile flag, e.g. -DBETA=2.4 + * @attention Normalization epsilon parameter should be given as a preprocessor argument with -DEPSILON=value. e.g. -DEPSILON=0.001f + * @attention Dimensions X, Y, and Z should be given as a preprocessor argument with -DDIM_X=value, -DDIM_Y=value, -DDIM_Z=value. e.g. -DDIM_X=6, -DDIM_Y=2, -DDIM_Z=7 + * + * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 + * @param[in] input_stride_x Stride of the first source tensor in X dimension (in bytes) + * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] input_stride_y Stride of the first source tensor in Y dimension (in bytes) + * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] input_stride_z Stride of the first source tensor in Z dimension (in bytes) + * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor + * @param[out] output_ptr (Optional) Pointer to the destination tensor. Supported data types: same as @p input_ptr + * @param[in] output_stride_x (Optional) Stride of the destination tensor in X dimension (in bytes) + * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] output_stride_y (Optional) Stride of the destination tensor in Y dimension (in bytes) + * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] output_stride_z (Optional) Stride of the destination tensor in Z dimension (in bytes) + * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination tensor + */ +__kernel void instance_normalization( + TENSOR4D_DECLARATION(input) +#ifndef IN_PLACE + , + TENSOR4D_DECLARATION(output) +#endif /* IN_PLACE */ +) +{ + DATA_TYPE sum = 0.f; + DATA_TYPE sum_sq = 0.f; + +#if defined(NHWC) + + const int pc = get_global_id(0); + const int pn = get_global_id(2); + const int elements_plane = DIM_Y * DIM_Z; + const int elements_x_y = DIM_X * DIM_Y; + const int elements_x_y_z = DIM_X * DIM_Y * DIM_Z; + + for(int i_w = 0; i_w < DIM_Y; ++i_w) + { + for(int i_h = 0; i_h < DIM_Z; ++i_h) + { + DATA_TYPE data = *((__global DATA_TYPE *)input_ptr + pc + i_w * DIM_X + i_h * elements_x_y + pn * elements_x_y_z); + sum += data; + sum_sq += data * data; + } + } + +#else // !defined(NHWC) + const int elements_plane = DIM_X * DIM_Y; + const int plane_address = get_global_id(2) * elements_plane; + int i = 0; + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + part_sum = 0.f; + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + part_sum_sq = 0.f; + // Calculate partial sum + for(; i <= (elements_plane - VEC_SIZE); i += VEC_SIZE) + { + // Load data + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_ptr + i + plane_address); + part_sum += data; + part_sum_sq += data * data; + } + // Perform reduction +#if VEC_SIZE > 8 + part_sum.s01234567 += part_sum.s89abcdef; + part_sum_sq.s01234567 += part_sum_sq.s89abcdef; +#endif // VEC_SIZE > 8 +#if VEC_SIZE > 4 + part_sum.s0123 += part_sum.s4567; + part_sum_sq.s0123 += part_sum_sq.s4567; +#endif // VEC_SIZE > 4 +#if VEC_SIZE > 2 + part_sum.s01 += part_sum.s23; + part_sum_sq.s01 += part_sum_sq.s23; +#endif // VEC_SIZE > 2 + part_sum.s0 += part_sum.s1; + part_sum_sq.s0 += part_sum_sq.s1; + // Left-overs loop + for(; i < elements_plane; ++i) + { + DATA_TYPE data = *((__global DATA_TYPE *)input_ptr + i + plane_address); + part_sum.s0 += data; + part_sum_sq.s0 += data * data; + } + + sum = part_sum.s0; + sum_sq = part_sum_sq.s0; + +#endif // defined(NHWC) + + const DATA_TYPE mean_float = ((float)sum / elements_plane); + const DATA_TYPE mean = (DATA_TYPE)mean_float; + const float var_float = ((float)sum_sq / elements_plane) - (mean_float * mean_float); + const float multip_float = GAMMA / sqrt(var_float + EPSILON); + const DATA_TYPE multip = (DATA_TYPE)multip_float; + +#if defined(NHWC) + + for(int i_w = 0; i_w < DIM_Y; ++i_w) + { + for(int i_h = 0; i_h < DIM_Z; ++i_h) + { + __global DATA_TYPE *input_address = (__global DATA_TYPE *)input_ptr + pc + i_w * DIM_X + i_h * elements_x_y + pn * elements_x_y_z; +#ifdef IN_PLACE + __global DATA_TYPE *output_address = input_address; +#else /* !IN_PLACE */ + __global DATA_TYPE *output_address = (__global DATA_TYPE *)output_ptr + pc + i_w * DIM_X + i_h * elements_x_y + pn * elements_x_y_z; +#endif /* IN_PLACE */ + *(output_address) = (*(input_address) - mean) * multip + (DATA_TYPE)BETA; + } + } + +#else // !defined(NHWC) + i = 0; + for(; i <= (elements_plane - VEC_SIZE); i += VEC_SIZE) + { + __global DATA_TYPE *input_address = (__global DATA_TYPE *)input_ptr + i + plane_address; +#ifdef IN_PLACE + __global DATA_TYPE *output_address = input_address; +#else /* !IN_PLACE */ + __global DATA_TYPE *output_address = (__global DATA_TYPE *)output_ptr + i + plane_address; +#endif /* IN_PLACE */ + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_address); + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + res = (data - mean) * multip + (DATA_TYPE)BETA; + VSTORE(VEC_SIZE) + (res, 0, (__global DATA_TYPE *)output_address); + } + for(; i < elements_plane; ++i) + { + __global DATA_TYPE *input_address = (__global DATA_TYPE *)input_ptr + i + plane_address; +#ifdef IN_PLACE + __global DATA_TYPE *output_address = input_address; +#else /* !IN_PLACE */ + __global DATA_TYPE *output_address = (__global DATA_TYPE *)output_ptr + i + plane_address; +#endif /* IN_PLACE */ + *(output_address) = (*(input_address) - mean) * multip + (DATA_TYPE)BETA; + } +#endif // defined(NHWC) +} +#endif /* defined(VEC_SIZE) && defined(DATA_TYPE) && defined(GAMMA) && defined(BETA) && defined(EPSILON) && defined(DIM_X) && defined(DIM_Y) && defined(DIM_Z) */ -- cgit v1.2.1