From 93a690edc48ad78cc9d7a580638475c6e77b32c2 Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Tue, 1 Aug 2017 16:09:33 +0100 Subject: COMPMID-452 CL Depthwise Separable Convolution Layer kernel implementation, validation and benchmarking for 3x3xC depthwise filter and DataType::F32. Change-Id: I95c0c87709763cdbf58d0de66025eac86e30791b Reviewed-on: http://mpd-gerrit.cambridge.arm.com/82768 Tested-by: Kaizen Reviewed-by: Steven Niu --- tests/validation_new/CPP/DepthwiseConvolution.cpp | 103 ++++++++++++++++++++++ 1 file changed, 103 insertions(+) create mode 100644 tests/validation_new/CPP/DepthwiseConvolution.cpp (limited to 'tests/validation_new/CPP/DepthwiseConvolution.cpp') diff --git a/tests/validation_new/CPP/DepthwiseConvolution.cpp b/tests/validation_new/CPP/DepthwiseConvolution.cpp new file mode 100644 index 0000000000..be18ffb911 --- /dev/null +++ b/tests/validation_new/CPP/DepthwiseConvolution.cpp @@ -0,0 +1,103 @@ +/* + * Copyright (c) 2017 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 "DepthwiseConvolution.h" + +#include "ConvolutionLayer.h" +#include "TensorElementAt.h" + +#include "tests/validation_new/Helpers.h" +#include "tests/validation_new/half.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +/** Perform a depthwise convolution + * + * - Three dimensions tensors + * - Third dimention is number of channels + * - Depths of input tensor and filter are equals + * - Padding, stride and output shape "match" + * + */ +template +SimpleTensor depthwise_convolution(const SimpleTensor &src, const SimpleTensor &weights, const TensorShape &dst_shape, const PadStrideInfo &conv_info) +{ + // Create reference + SimpleTensor dst{ dst_shape, src.data_type(), 1, src.fixed_point_position() }; + + // Compute reference + const size_t filter_width = weights.shape().x(); + const size_t filter_height = weights.shape().y(); + const size_t filter_plane = filter_width * filter_height; + const size_t input_width = src.shape().x(); + const size_t input_height = src.shape().y(); + const size_t input_depth = src.shape().z(); + + const size_t filter_half_size = filter_width / 2; + const size_t pad_x = std::min(filter_half_size, static_cast(conv_info.pad().first)); + const size_t pad_y = std::min(filter_half_size, static_cast(conv_info.pad().second)); + const size_t minimum_x = -pad_x + filter_half_size; + const size_t minimum_y = -pad_y + filter_half_size; + + int out_pos = 0; + for(size_t z = 0; z < input_depth; ++z) + { + for(size_t y = minimum_y; y < input_height + pad_y - filter_half_size; y += conv_info.stride().second) + { + for(size_t x = minimum_x; x < input_width + pad_x - filter_half_size; x += conv_info.stride().first) + { + Coordinates coords(static_cast(x), static_cast(y), static_cast(z)); + size_t filter_offset = filter_plane * z; + + T val = 0; + for(int j = y - filter_half_size; j <= static_cast(y + filter_half_size); ++j) + { + for(int i = x - filter_half_size; i <= static_cast(x + filter_half_size); ++i) + { + coords.set(0, i); + coords.set(1, j); + val += *(weights.data() + filter_offset) * tensor_elem_at(src, coords, BorderMode::CONSTANT, 0.f); + ++filter_offset; + } + } + coords.set(0, x); + coords.set(1, y); + dst[out_pos++] = saturate_cast(val); + } + } + } + + return dst; +} + +template SimpleTensor depthwise_convolution(const SimpleTensor &src, const SimpleTensor &weights, const TensorShape &dst_shape, const PadStrideInfo &conv_info); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute -- cgit v1.2.1