// attachHalide can work both with Halide::Buffer and Halide::Func. In the
// second case it will be a fusion.
Halide::Func attachHalide(const Halide::Expr& input)
{
Halide::Func top = (name.empty() ? Halide::Func() : Halide::Func(name));
Halide::Var x("x"), y("y"), c("c"), n("n");
const int numChannels = weights_.total();
auto weights = wrapToHalideBuffer(weights_, {numChannels});
auto bias = wrapToHalideBuffer(bias_, {numChannels});
top(x, y, c, n) = input * weights(c) + bias(c);
return top;
}
HalideBackendWrapper::HalideBackendWrapper(int targetId, const cv::Mat& m)
: BackendWrapper(DNN_BACKEND_HALIDE, targetId)
{
buffer = wrapToHalideBuffer(m);
if (targetId == DNN_TARGET_CPU)
{
return;
}
else if (targetId == DNN_TARGET_OPENCL)
{
buffer.copy_to_device(halide_opencl_device_interface());
}
else
CV_Error(Error::StsNotImplemented, "Unknown target identifier");
}
HalideBackendWrapper::HalideBackendWrapper(int targetId, const cv::Mat& m)
: BackendWrapper(DNN_BACKEND_HALIDE, targetId)
{
managesDevMemory = true;
buffer = wrapToHalideBuffer(m);
if (targetId == DNN_TARGET_CPU)
{
return;
}
else if (targetId == DNN_TARGET_OPENCL)
{
Halide::Target t = Halide::get_host_target();
t.set_feature(Halide::Target::OpenCL);
buffer.copy_to_device(t);
}
else
CV_Error(Error::StsNotImplemented, "Unknown target identifier");
}
Halide::Buffer<float> wrapToHalideBuffer(const Mat& mat)
{
return wrapToHalideBuffer(mat, getBufferShape(mat.size));
}
Halide::Buffer<float> wrapToHalideBuffer(const Mat& mat)
{
int n, c, w, h;
getCanonicalSize(mat.size, &w, &h, &c, &n);
return wrapToHalideBuffer(mat, {w, h, c, n});
}