da1944e8e1
* Added implementation files for image_resize and resize_bicubic ops. * Image resize and image.resize_bicubic ops implementation. Initial revision. * Minor fix * Some TF imports disabled. * Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation. * Refactored resize methods. * Added processing for Mitchelcubic algorithm. * adjust_contrast * Small fix for TF import expected value loading when variable name starts with the test name Signed-off-by: AlexDBlack <blacka101@gmail.com> * Tests * Tests added. * Removed tf names absent in mapping. * Some fixes. * Small fixes * Minor change * Some failing tests. * Disable failed test * Ignore some tests * Fix import class mapping Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fix float property mapping (flatbuffers) Signed-off-by: AlexDBlack <blacka101@gmail.com> * Override equality function for model 'dropout' Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fail tests * Failed tests ignored temporarily. * Minor fixes * Small fix * Conflict resolved * Default implementations of tensorflowName and onnxName
55 lines
2.1 KiB
C++
55 lines
2.1 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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* Copyright (c) 2019 Konduit K.K.
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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 sgazeos@gmail.com
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//
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#ifndef __IMAGE_RESIZE_HELPERS__
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#define __IMAGE_RESIZE_HELPERS__
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#include <op_boilerplate.h>
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#include <NDArray.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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enum ImageResizeMethods {
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kResizeBilinear = 1,
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kResizeBicubic,
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kResizeNearest,
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kResizeGaussian,
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kResizeLanczos5,
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kResizeMitchelcubic,
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kResizeArea
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};
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int resizeBilinearFunctor(nd4j::LaunchContext * context, NDArray const* image, int width, int height, bool center,
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NDArray* output);
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int resizeNeighborFunctor(nd4j::LaunchContext * context, NDArray const* image, int width, int height, bool center,
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NDArray* output);
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int resizeBicubicFunctor(nd4j::LaunchContext * context, NDArray const* image, int width, int height,
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bool preserveAspectRatio, bool antialias, NDArray* output);
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int resizeFunctor(nd4j::LaunchContext * context, NDArray const* image, int width, int height,
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ImageResizeMethods method, bool preserveAspectRatio, bool antialias, NDArray* output);
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void cropAndResizeFunctor(nd4j::LaunchContext * context, NDArray const* images, NDArray const* boxes,
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NDArray const* indices, NDArray const* cropSize, int method, double extrapolationVal, NDArray* crops);
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}
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}
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}
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#endif
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