lzhangzz 640aa03538
Support Windows (#106)
* 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>
2022-02-24 20:08:44 +08:00

54 lines
1.2 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#ifndef MMDEPLOY_PAD_H
#define MMDEPLOY_PAD_H
#include <array>
#include "core/tensor.h"
#include "transform.h"
namespace mmdeploy {
class MMDEPLOY_API PadImpl : public TransformImpl {
public:
explicit PadImpl(const Value& args);
~PadImpl() override = default;
Result<Value> Process(const Value& input) override;
protected:
// pad on all sides with specified padding mode
// @param padding: Padding on each border in clock-wise (left, top, right,
// bottom)
virtual Result<Tensor> PadImage(const Tensor& img, const std::array<int, 4>& padding) = 0;
protected:
struct pad_arg_t {
std::array<int, 2> size;
int size_divisor;
float pad_val;
bool pad_to_square;
std::string padding_mode;
};
using ArgType = struct pad_arg_t;
ArgType arg_;
};
class MMDEPLOY_API Pad : public Transform {
public:
explicit Pad(const Value& args, int version = 0);
~Pad() override = default;
Result<Value> Process(const Value& input) override { return impl_->Process(input); }
protected:
std::unique_ptr<PadImpl> impl_;
};
MMDEPLOY_DECLARE_REGISTRY(PadImpl);
} // namespace mmdeploy
#endif // MMDEPLOY_PAD_H