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+/*
+ * 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.
+ */
+
+#pragma once
+
+#include <deque>
+#include <functional>
+#include <memory>
+
+#include "depthwise.hpp"
+
+namespace depthwise
+{
+
+template <
+ unsigned int OutputTileRows, unsigned int OutputTileCols,
+ unsigned int KernelRows, unsigned int KernelCols,
+ unsigned int StrideRows, unsigned int StrideCols,
+ typename TIn, typename TBias, typename TOut
+>
+class DilatedDepthwiseConvolution : public IDepthwiseConvolution
+{
+ public:
+ /** Create a new dilated depthwise convolution engine.
+ */
+ DilatedDepthwiseConvolution(
+ int n_batches, int n_input_rows, int n_input_cols, int n_channels,
+ int dilation_factor,
+ nck::ActivationFunction activation,
+ unsigned int padding_top,
+ unsigned int padding_left,
+ unsigned int padding_bottom,
+ unsigned int padding_right
+ );
+
+ /** Create a new dilated depthwise convolution engine.
+ */
+ DilatedDepthwiseConvolution(
+ 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,
+ unsigned int padding_top,
+ unsigned int padding_left,
+ unsigned int padding_bottom,
+ unsigned int padding_right
+ );
+
+ // Cannot copy or move a DilatedDepthwiseConvolution.
+ DilatedDepthwiseConvolution(DilatedDepthwiseConvolution&) = delete;
+ DilatedDepthwiseConvolution operator=(DilatedDepthwiseConvolution&) = delete;
+
+ /* Set input tensor and stride. */
+ void set_input(const void *inptr) override;
+ void set_input(const void *inptr, int column_stride) override;
+ void set_input(const void *inptr, int row_stride, int column_stride) override;
+ void set_input(const void *inptr, int batch_stride, int row_stride, int column_stride) override;
+
+ /* Set output tensor and stride. */
+ void set_output(void *outptr) override;
+ void set_output(void *outptr, int column_stride) override;
+ void set_output(void *outptr, int row_stride, int column_stride) override;
+ void set_output(void *outptr, int batch_stride, int row_stride, int column_stride) override;
+
+ static int get_output_size(
+ int dim_size,
+ unsigned int padding_before,
+ unsigned int padding_after,
+ int dilation_factor
+ );
+
+ int output_size(
+ int dim_size, unsigned int padding_before, unsigned int padding_after
+ ) const override;
+
+ /* Weights and biases are re-ordered to improve memory access patterns. Use
+ * these methods to determine the size of the re-pack buffer and to set the
+ * address (and implicitly reorder the weights and biases into) the buffer.
+ */
+ size_t get_packed_params_size(void) const override;
+ void set_packed_params_buffer(void *) override;
+
+ void pack_params(const void *weights, const void *biases=nullptr) const override;
+ void pack_params(void *buffer, const void *weights, const void *biases=nullptr) const override;
+ void pack_params(
+ void *buffer,
+ const void* weights,
+ unsigned int weight_row_stride,
+ unsigned int weight_col_stride,
+ const void *biases=nullptr
+ ) const override;
+
+ /* Working space is used to pad tensors on the fly. Before running any
+ * inference check the amount of space required, allocate and provide a
+ * pointer to the convolution engine.
+ */
+ size_t get_working_space_size(unsigned int nthreads=1) const override;
+ void set_working_space(void *) override;
+
+ unsigned int get_window(void) const override;
+ void run(unsigned int start, unsigned int stop, unsigned int threadid=0) override;
+
+ protected:
+ /** Protected constructor which also accepts a function to construct a new
+ * subconvolution
+ */
+ DilatedDepthwiseConvolution(
+ 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,
+ unsigned int padding_top,
+ unsigned int padding_left,
+ unsigned int padding_bottom,
+ unsigned int padding_right,
+ std::function<IDepthwiseConvolution *(int, int, int, int, int, int, nck::ActivationFunction, unsigned int, unsigned int, unsigned int, unsigned int)> subconvfn
+ );
+
+ const int _dilation_factor;
+ const int _n_input_rows, _n_input_cols, _n_channels;
+ const int _padding_top, _padding_left;
+ const int _n_output_rows, _n_output_cols;
+
+ /* Dilated depthwise convolution is performed through repeated calls to
+ * non-dilated convolutions. If the dilation factor is $n$, then we perform
+ * $(n + 1)^2$ depthwise convolutions.
+ */
+ using BaseDepthwise = DepthwiseConvolution<
+ OutputTileRows, OutputTileCols,
+ KernelRows, KernelCols,
+ StrideRows, StrideCols,
+ TIn, TBias, TOut
+ >;
+ std::deque<std::deque<std::unique_ptr<IDepthwiseConvolution>>> _convs;
+};
+
+} // namespace depthwise