82 lines
3.6 KiB
C
82 lines
3.6 KiB
C
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/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include <ops/declarable/helpers/helpers.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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void dilation2d(nd4j::LaunchContext * context, NDArray *input, NDArray *weights, NDArray *output, int stride_rows, int stride_cols, int rate_rows, int rate_cols, int pad_top, int pad_left);
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FORCEINLINE Nd4jStatus _outputSize(nd4j::LaunchContext * context, int input_size, int filter_size, int dilation_rate, int stride, bool isSameMode, int *output_size, int *padding_before, int *padding_after) {
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if (stride <= 0)
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return Status::THROW("Dilation2D: Stride must be > 0");
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if (dilation_rate < 1)
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return Status::THROW("Dilation2D: Dilation rate must be >= 1");
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int effective_filter_size = (filter_size - 1) * dilation_rate + 1;
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if (isSameMode) {
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*output_size = (input_size + stride - 1) / stride;
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const int padding_needed = nd4j::math::nd4j_max<int>(0, (*output_size - 1) * stride + effective_filter_size -input_size);
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*padding_before = padding_needed / 2;
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*padding_after = padding_needed - *padding_before;
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} else {
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*output_size = (input_size - effective_filter_size + stride) / stride;
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*padding_before = *padding_after = 0;
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}
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if (*output_size < 0)
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return Status::THROW("Dilation2D: output_size has negative value");
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return Status::OK();
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}
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FORCEINLINE Nd4jStatus _dilation_hw(nd4j::LaunchContext * context, Nd4jLong *in, Nd4jLong *wh, std::vector<int> &strides, std::vector<int> &rates, bool isSameMode, int *stride_rows, int *stride_cols, int *rate_rows, int *rate_cols, int *pad_top, int *pad_left, int *out_rows, int *out_cols) {
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const int input_rows = shape::sizeAt(in, 1);
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const int input_cols = shape::sizeAt(in, 2);
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const int depth = shape::sizeAt(in, 3);
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*stride_rows = strides[1];
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*stride_cols = strides[2];
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*rate_rows = rates[1];
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*rate_cols = rates[2];
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const int filter_rows = shape::sizeAt(wh, 0);
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const int filter_cols = shape::sizeAt(wh, 1);
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const int filter_rows_eff = filter_rows + (filter_rows - 1) * (*rate_rows - 1);
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const int filter_cols_eff = filter_cols + (filter_cols - 1) * (*rate_cols - 1);
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int padding_after_unusedA, padding_after_unusedB;
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if (_outputSize(context, input_rows, filter_rows_eff, 1, *stride_rows, isSameMode, out_rows, pad_top, &padding_after_unusedA) != Status::OK())
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return Status::THROW("Dilation2D: bad height");
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if (_outputSize(context, input_cols, filter_cols_eff, 1, *stride_cols, isSameMode, out_cols, pad_left, &padding_after_unusedA) != Status::OK())
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return Status::THROW("Dilation2D: bad width");
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return Status::OK();
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}
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}
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}
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}
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