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* minor changes * support windows * fix GCC build * fix lint * reformat * fix Windows build * fix GCC build * search backend ops for onnxruntime * fix lint * fix lint * code clean-up * code clean-up * fix clang build * fix trt support * fix cmake for ncnn * fix cmake for openvino * fix SDK Python API * handle ops for other backends (ncnn, trt) * handle SDK Python API library location * robustify linkage * fix cuda * minor fix for openvino & ncnn * use CMAKE_CUDA_ARCHITECTURES if set * fix cuda preprocessor * fix misc * fix pplnn & pplcv, drop support for pplcv<0.6.0 * robustify cmake * update build.md (#2) * build dynamic modules as module library & fix demo (partially) * fix candidate path for mmdeploy_python * move "enable CUDA" to cmake config for demo * refine demo cmake * add comment * fix ubuntu build * revert docs/en/build.md * fix C API * fix lint * Windows build doc (#3) * check in docs related to mmdeploy build on windows * update build guide on windows platform * update build guide on windows platform * make path of thirdparty libraries consistent * make path consistency * correct build command for custom ops * correct build command for sdk * update sdk build instructions * update doc * correct build command * fix lint * correct build command and fix lint Co-authored-by: lvhan <lvhan@pjlab.org> * trailing whitespace (#4) * minor fix * fix sr sdk model * fix type deduction * fix cudaFree after driver shutting down * update ppl.cv installation warning (#5) * fix device allocator threshold & fix lint * update doc (#6) * update ppl.cv installation warning * missing 'git clone' Co-authored-by: chenxin <chenxin2@sensetime.com> Co-authored-by: zhangli <zhangli@sensetime.com> Co-authored-by: lvhan028 <lvhan_028@163.com> Co-authored-by: lvhan <lvhan@pjlab.org>
54 lines
1.2 KiB
C++
54 lines
1.2 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_PAD_H
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#define MMDEPLOY_PAD_H
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#include <array>
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#include "core/tensor.h"
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#include "transform.h"
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namespace mmdeploy {
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class MMDEPLOY_API PadImpl : public TransformImpl {
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public:
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explicit PadImpl(const Value& args);
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~PadImpl() override = default;
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Result<Value> Process(const Value& input) override;
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protected:
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// pad on all sides with specified padding mode
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// @param padding: Padding on each border in clock-wise (left, top, right,
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// bottom)
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virtual Result<Tensor> PadImage(const Tensor& img, const std::array<int, 4>& padding) = 0;
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protected:
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struct pad_arg_t {
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std::array<int, 2> size;
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int size_divisor;
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float pad_val;
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bool pad_to_square;
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std::string padding_mode;
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};
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using ArgType = struct pad_arg_t;
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ArgType arg_;
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};
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class MMDEPLOY_API Pad : public Transform {
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public:
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explicit Pad(const Value& args, int version = 0);
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~Pad() override = default;
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Result<Value> Process(const Value& input) override { return impl_->Process(input); }
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protected:
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std::unique_ptr<PadImpl> impl_;
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};
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MMDEPLOY_DECLARE_REGISTRY(PadImpl);
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} // namespace mmdeploy
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#endif // MMDEPLOY_PAD_H
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