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authorGeorgios Pinitas <georgios.pinitas@arm.com>2019-06-24 14:56:34 +0100
committerGeorgios Pinitas <georgios.pinitas@arm.com>2019-07-09 09:31:37 +0000
commit30271c779c36a2abe6995c4454674d92bbc1f91f (patch)
tree531257ff87cf2cb8d6f3b8da0abe3e6cb77a2a0e /src/core/NEON/kernels/convolution/depthwise/depthwise_dilated_qa8_qa8.cpp
parent30dbeef2f46bdd6fe05d25dfa27cb4b2359dced3 (diff)
downloadComputeLibrary-30271c779c36a2abe6995c4454674d92bbc1f91f.tar.gz
COMPMID-2156: Optimized dilated convolution for NEON.
Change-Id: I3a8abe8cc9637c8983d9bd69dcbaee1a15eac8d0 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-on: https://review.mlplatform.org/c/1492 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/convolution/depthwise/depthwise_dilated_qa8_qa8.cpp')
-rw-r--r--src/core/NEON/kernels/convolution/depthwise/depthwise_dilated_qa8_qa8.cpp142
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diff --git a/src/core/NEON/kernels/convolution/depthwise/depthwise_dilated_qa8_qa8.cpp b/src/core/NEON/kernels/convolution/depthwise/depthwise_dilated_qa8_qa8.cpp
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@@ -0,0 +1,142 @@
+/*
+ * 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 "depthwise_quantized_dilated.hpp"
+#include "impl_dilated.hpp"
+
+namespace depthwise {
+
+template <unsigned int OutputTileRows, unsigned int OutputTileCols,
+ unsigned int KernelRows, unsigned int KernelCols,
+ unsigned int StrideRows, unsigned int StrideCols>
+QAsymm8DilatedDepthwiseConvolution<OutputTileRows, OutputTileCols, KernelRows,
+ KernelCols, StrideRows, StrideCols>::
+ QAsymm8DilatedDepthwiseConvolution(
+ int n_batches, int n_input_rows, int n_input_cols, int n_channels,
+ int dilation_factor, nck::ActivationFunction activation,
+ const qasymm8::QAsymm8Params &weight_quantisation,
+ const qasymm8::QAsymm8Params &input_quantisation,
+ const qasymm8::QAsymm8Params &output_quantisation,
+ unsigned int padding_top, unsigned int padding_left,
+ unsigned int padding_bottom, unsigned int padding_right)
+ : QAsymm8DilatedDepthwiseConvolution(
+ n_batches, n_input_rows, n_input_cols, n_channels, dilation_factor,
+ QAsymm8DilatedDepthwiseConvolution::get_output_size(
+ n_input_rows, padding_top, padding_bottom, dilation_factor),
+ QAsymm8DilatedDepthwiseConvolution::get_output_size(
+ n_input_cols, padding_left, padding_right, dilation_factor),
+ activation, weight_quantisation, input_quantisation,
+ output_quantisation, padding_top, padding_left, padding_bottom,
+ padding_right) {}
+
+template <unsigned int OutputTileRows, unsigned int OutputTileCols,
+ unsigned int KernelRows, unsigned int KernelCols,
+ unsigned int StrideRows, unsigned int StrideCols>
+QAsymm8DilatedDepthwiseConvolution<OutputTileRows, OutputTileCols, KernelRows,
+ KernelCols, StrideRows, StrideCols>::
+ QAsymm8DilatedDepthwiseConvolution(
+ int n_batches, int n_input_rows, int n_input_cols, int n_channels,
+ int dilation_factor, int n_output_rows, int n_output_cols,
+ nck::ActivationFunction activation,
+ const qasymm8::QAsymm8Params &weight_quantisation,
+ const qasymm8::QAsymm8Params &input_quantisation,
+ const qasymm8::QAsymm8Params &output_quantisation,
+ unsigned int padding_top, unsigned int padding_left,
+ unsigned int padding_bottom, unsigned int padding_right)
+ : QAsymm8DilatedDepthwiseConvolution(
+ n_batches, n_input_rows, n_input_cols, n_channels, dilation_factor,
+ n_output_rows, n_output_cols, activation, weight_quantisation,
+ input_quantisation, output_quantisation,
+ qasymm8::QAsymm8RescaleParams::make_rescale_params(
+ weight_quantisation, input_quantisation, output_quantisation),
+ padding_top, padding_left, padding_bottom, padding_right) {}
+
+template <unsigned int OutputTileRows, unsigned int OutputTileCols,
+ unsigned int KernelRows, unsigned int KernelCols,
+ unsigned int StrideRows, unsigned int StrideCols>
+QAsymm8DilatedDepthwiseConvolution<OutputTileRows, OutputTileCols, KernelRows,
+ KernelCols, StrideRows, StrideCols>::
+ QAsymm8DilatedDepthwiseConvolution(
+ int n_batches, int n_input_rows, int n_input_cols, int n_channels,
+ int dilation_factor, nck::ActivationFunction activation,
+ const qasymm8::QAsymm8Params &weight_quantisation,
+ const qasymm8::QAsymm8Params &input_quantisation,
+ const qasymm8::QAsymm8Params &output_quantisation,
+ const qasymm8::QAsymm8RescaleParams &rescale_parameters,
+ unsigned int padding_top, unsigned int padding_left,
+ unsigned int padding_bottom, unsigned int padding_right)
+ : QAsymm8DilatedDepthwiseConvolution(
+ n_batches, n_input_rows, n_input_cols, n_channels, dilation_factor,
+ QAsymm8DilatedDepthwiseConvolution::get_output_size(
+ n_input_rows, padding_top, padding_bottom, dilation_factor),
+ QAsymm8DilatedDepthwiseConvolution::get_output_size(
+ n_input_cols, padding_left, padding_right, dilation_factor),
+ activation, weight_quantisation, input_quantisation,
+ output_quantisation, rescale_parameters, padding_top, padding_left,
+ padding_bottom, padding_right) {}
+
+template <unsigned int OutputTileRows, unsigned int OutputTileCols,
+ unsigned int KernelRows, unsigned int KernelCols,
+ unsigned int StrideRows, unsigned int StrideCols>
+QAsymm8DilatedDepthwiseConvolution<OutputTileRows, OutputTileCols, KernelRows,
+ KernelCols, StrideRows, StrideCols>::
+ QAsymm8DilatedDepthwiseConvolution(
+ int n_batches, int n_input_rows, int n_input_cols, int n_channels,
+ int dilation_factor, int n_output_rows, int n_output_cols,
+ nck::ActivationFunction activation,
+ const qasymm8::QAsymm8Params &weight_quantisation,
+ const qasymm8::QAsymm8Params &input_quantisation,
+ const qasymm8::QAsymm8Params &output_quantisation,
+ const qasymm8::QAsymm8RescaleParams &rescale_parameters,
+ unsigned int padding_top, unsigned int padding_left,
+ unsigned int padding_bottom, unsigned int padding_right)
+ : DilatedDepthwiseConvolution<OutputTileRows, OutputTileCols, KernelRows,
+ KernelCols, StrideRows, StrideCols, uint8_t,
+ int32_t, uint8_t>(
+ n_batches, n_input_rows, n_input_cols, n_channels, dilation_factor,
+ n_output_rows, n_output_cols, activation, padding_top, padding_left,
+ padding_bottom, padding_right,
+ [weight_quantisation, input_quantisation, output_quantisation,
+ rescale_parameters](
+ const int n_batches, const int n_input_rows,
+ const int n_input_cols, const int n_channels,
+ const int n_output_rows, const int n_output_cols,
+ const nck::ActivationFunction activation,
+ const unsigned int padding_top, const unsigned int padding_left,
+ const unsigned int padding_bottom,
+ const unsigned int padding_right) -> IDepthwiseConvolution * {
+ return new QAsymm8DepthwiseConvolution<
+ OutputTileRows, OutputTileCols, KernelRows, KernelCols,
+ StrideRows, StrideCols>(
+ n_batches, n_input_rows, n_input_cols, n_channels,
+ n_output_rows, n_output_cols, activation, weight_quantisation,
+ input_quantisation, output_quantisation, rescale_parameters,
+ padding_top, padding_left, padding_bottom, padding_right);
+ }) {}
+
+} // namespace depthwise
+
+template class depthwise::QAsymm8DilatedDepthwiseConvolution<2, 2, 3, 3, 1, 1>;
+template class depthwise::QAsymm8DilatedDepthwiseConvolution<2, 2, 3, 3, 2, 2>;