| from litex.build.generic_platform import * | |
| from litex.build.xilinx import XilinxPlatform | |
| # Create the platform object | |
| platform = XilinxPlatform("my_platform") | |
| # Add the PCIe device to the platform | |
| platform.add_extension([ | |
| ("pcie_phy", 0, | |
| Subsignal("rst_n", Pins("")), |
| #!/usr/bin/python3 | |
| """ | |
| ********************************************************** | |
| * BSD License * | |
| * Copyright (c) 2022 * | |
| * Balint Cristian <cristian dot balint at gmail dot com> * | |
| ********************************************************** | |
| # Little script to Homography match images into animation |
Used online repositories for Fedora/RHEL/CentOS linux:
The VLSI repository homepage: https://copr.fedorainfracloud.org/coprs/rezso/VLSI
The HDL repository homepage: https://copr.fedorainfracloud.org/coprs/rezso/HDL
Docker variants of this: https://github.com/cbalint13/copr-packages/tree/main/docker-examples
| diff --git a/lib/core/ogs-tlv.c b/lib/core/ogs-tlv.c | |
| index a43108f..8be4268 100644 | |
| --- a/lib/core/ogs-tlv.c | |
| +++ b/lib/core/ogs-tlv.c | |
| @@ -398,6 +398,31 @@ uint32_t ogs_tlv_render(ogs_tlv_t *root, | |
| return (pos - blk); | |
| } | |
| + | |
| +static void dump_root_tlv_chain(ogs_tlv_t *root) |
| /* | |
| COMPILE: | |
| gcc testcase.c -g -O2 \ | |
| -DOGS_GTP_INSIDE -DOGS_GTP_COMPILATION \ | |
| -I/home/cbalint/rpmbuild/BUILD/open5gs/lib/gtp \ | |
| -I/home/cbalint/rpmbuild/BUILD/open5gs/lib/core \ | |
| -I/home/cbalint/rpmbuild/BUILD/open5gs/redhat-linux-build/lib \ | |
| -I/home/cbalint/rpmbuild/BUILD/open5gs/lib \ | |
| -I/home/cbalint/rpmbuild/BUILD/open5gs/lib/app/ \ |
| #!/usr/bin/python | |
| import onnx | |
| import numpy as np | |
| import tvm | |
| from tvm import te | |
| import tvm.relay as relay | |
| ### |
| #!/usr/bin/python3 | |
| import sys | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| def get_cmap(n, name='hsv'): | |
| '''Returns a function that maps each index in 0, 1, ..., n-1 to a distinct | |
| RGB color; the keyword argument name must be a standard mpl colormap name.''' | |
| return plt.cm.get_cmap(name, n) |
| --- a/modules/dnn/src/cuda4dnn/csl/cudnn/convolution.hpp.orig 2020-06-08 17:01:47.788349629 +0300 | |
| +++ b/modules/dnn/src/cuda4dnn/csl/cudnn/convolution.hpp 2020-06-08 16:50:51.579297388 +0300 | |
| @@ -260,10 +260,10 @@ | |
| const TensorDescriptor<T>& output) | |
| { | |
| CUDA4DNN_CHECK_CUDNN( | |
| - cudnnGetConvolutionForwardAlgorithm( | |
| + cudnnGetConvolutionForwardAlgorithm_v7( | |
| handle.get(), | |
| input.get(), filter.get(), conv.get(), output.get(), |
| #!/usr/bin/python3 | |
| #import nnvm.frontend.darknet | |
| import tvm.relay.testing.yolo_detection | |
| import tvm.relay.testing.darknet | |
| import tvm.relay.transform as _transform | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import tvm | |
| import onnx |