2017-06-26 18:35:51 +08:00
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2017, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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2017-06-27 14:04:50 +08:00
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#include "precomp.hpp"
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2017-06-26 18:35:51 +08:00
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#include "op_halide.hpp"
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#ifdef HAVE_HALIDE
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#include <HalideRuntimeOpenCL.h>
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#endif // HAVE_HALIDE
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namespace cv
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{
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namespace dnn
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{
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#ifdef HAVE_HALIDE
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Halide::Buffer<float> wrapToHalideBuffer(const Mat& mat)
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{
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int n, c, w, h;
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getCanonicalSize(mat.size, &w, &h, &c, &n);
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return wrapToHalideBuffer(mat, {w, h, c, n});
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}
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Halide::Buffer<float> wrapToHalideBuffer(const Mat& mat,
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const std::vector<int>& sizes)
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{
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Halide::Buffer<float> buffer((float*)mat.data, sizes);
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buffer.set_host_dirty(); // Indicate that data is on CPU.
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return buffer;
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}
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Halide::Buffer<> halideBuffer(const Ptr<BackendWrapper>& ptr)
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{
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CV_Assert(!ptr.empty());
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return ptr.dynamicCast<HalideBackendWrapper>()->buffer;
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}
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std::vector<Halide::Buffer<> > halideBuffers(const std::vector<Ptr<BackendWrapper> >& ptrs)
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{
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std::vector<Halide::Buffer<> > vec;
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vec.reserve(ptrs.size());
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for (const Ptr<BackendWrapper>& ptr : ptrs)
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{
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vec.push_back(halideBuffer(ptr));
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}
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return vec;
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}
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void getCanonicalSize(const Halide::Buffer<>& buffer, int* width, int* height,
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int* channels, int* batch)
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{
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CV_Assert(buffer.dimensions() == 4);
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*width = buffer.extent(0);
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*height = buffer.extent(1);
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*channels = buffer.extent(2);
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*batch = buffer.extent(3);
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}
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HalideBackendNode::HalideBackendNode(const Halide::Func& func)
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: BackendNode(DNN_BACKEND_HALIDE), funcs(1, func) {}
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HalideBackendNode::HalideBackendNode(const std::vector<Halide::Func>& funcs)
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: BackendNode(DNN_BACKEND_HALIDE), funcs(funcs) {}
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HalideBackendNode::HalideBackendNode(const Ptr<HalideBackendNode>& base,
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const Halide::Func& top)
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: BackendNode(DNN_BACKEND_HALIDE), funcs(base->funcs)
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{
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funcs.back() = top;
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}
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HalideBackendWrapper::HalideBackendWrapper(int targetId, const cv::Mat& m)
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: BackendWrapper(DNN_BACKEND_HALIDE, targetId)
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{
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buffer = wrapToHalideBuffer(m);
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if (targetId == DNN_TARGET_CPU)
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{
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return;
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}
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else if (targetId == DNN_TARGET_OPENCL)
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{
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2017-08-03 01:38:30 +08:00
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Halide::Target t = Halide::get_host_target();
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t.set_feature(Halide::Target::OpenCL);
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buffer.copy_to_device(get_default_device_interface_for_target(t));
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2017-06-26 18:35:51 +08:00
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}
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else
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CV_Error(Error::StsNotImplemented, "Unknown target identifier");
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}
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HalideBackendWrapper::HalideBackendWrapper(const Ptr<BackendWrapper>& base,
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const MatShape& shape)
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: BackendWrapper(DNN_BACKEND_HALIDE, base->targetId)
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{
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int w, h, c, n;
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getCanonicalSize(shape, &w, &h, &c, &n);
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Halide::Buffer<float> baseBuffer = halideBuffer(base);
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buffer = Halide::Buffer<float>((float*)baseBuffer.raw_buffer()->host,
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{w, h, c, n});
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if (baseBuffer.has_device_allocation())
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{
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buffer.raw_buffer()->device = baseBuffer.raw_buffer()->device;
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buffer.raw_buffer()->device_interface = baseBuffer.raw_buffer()->device_interface;
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buffer.set_device_dirty();
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}
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else
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{
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buffer.set_host_dirty(); // Indicate that data is on CPU.
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CV_Assert(targetId == DNN_TARGET_CPU);
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}
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}
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void HalideBackendWrapper::copyToHost()
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{
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CV_Assert(targetId == DNN_TARGET_CPU || buffer.device_dirty());
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if (buffer.device_dirty())
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{
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buffer.device_sync();
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buffer.copy_to_host();
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}
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}
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#endif // HAVE_HALIDE
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void getCanonicalSize(const MatSize& size, int* width, int* height,
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int* channels, int* batch)
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{
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const int dims = size.p[-1];
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CV_Assert(dims == 2 || dims == 4);
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*batch = size[0];
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*channels = size[1];
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if (dims == 4)
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{
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*width = size[3];
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*height = size[2];
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}
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else
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{
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*width = 1;
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*height = 1;
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}
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}
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void getCanonicalSize(const MatShape& shape, int* width, int* height,
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int* channels, int* batch)
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{
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const int dims = shape.size();
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CV_Assert(dims == 2 || dims == 4);
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*batch = shape[0];
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*channels = shape[1];
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if (dims == 4)
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{
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*width = shape[3];
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*height = shape[2];
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}
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else
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{
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*width = 1;
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*height = 1;
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}
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}
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void compileHalide(std::vector<Mat> &outputs, Ptr<BackendNode>& node, int targetId)
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{
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#ifdef HAVE_HALIDE
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CV_Assert(!node.empty());
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Halide::Func& top = node.dynamicCast<HalideBackendNode>()->funcs.back();
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int outW, outH, outC, outN;
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Halide::Var x("x"), y("y"), c("c"), n("n");
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getCanonicalSize(outputs[0].size, &outW, &outH, &outC, &outN);
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top.bound(x, 0, outW).bound(y, 0, outH)
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.bound(c, 0, outC).bound(n, 0, outN);
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Halide::Target target = Halide::get_host_target();
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target.set_feature(Halide::Target::NoAsserts);
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if (targetId == DNN_TARGET_OPENCL)
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{
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target.set_feature(Halide::Target::OpenCL);
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}
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CV_Assert(target.supported());
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top.compile_jit(target);
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#endif // HAVE_HALIDE
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}
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void forwardHalide(std::vector<Ptr<BackendWrapper> > &outputs,
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const Ptr<BackendNode>& node)
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{
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#ifdef HAVE_HALIDE
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CV_Assert(!node.empty());
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Halide::Func& top = node.dynamicCast<HalideBackendNode>()->funcs.back();
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auto outputBuffers = halideBuffers(outputs);
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top.realize(Halide::Realization(outputBuffers));
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#endif // HAVE_HALIDE
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}
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bool haveHalide()
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{
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#ifdef HAVE_HALIDE
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return true;
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#else
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return false;
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#endif // HAVE_HALIDE
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}
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} // namespace dnn
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} // namespace cv
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