Comments (1)
Hi,
The networks contained in the two projects you mention are the same. The difference is, this repository is the tool that generates hardware designs from caffe prototxt and scales them them to perform well on the target devices. A user could supply their own prototxt of a network with binary weights and activations and produce a working hardware implementation of that network without doing any hardware design.
The networks included in the README of this project have been tested to work on the PYNQ Z1 board.
Thanks
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Related Issues (20)
- Unrecognized shell_flow_type: None HOT 1
- U-Net on PYNQ HOT 4
- Problem downloading xrt_202220.2.14.354_22.04-amd64-xrt.deb within run-docker.sh HOT 7
- Issues in getting started on Windows HOT 2
- out of the range for parameter 'FIFO depth(FIFO_DEPTH)' HOT 4
- Redeclaration of streams in StreamingDataWidthConverter_hls? HOT 1
- RadioML: Verification step folded_hls_cppsim throws an error
- local variable 'pad_in' referenced before assignment
- MobileNet-V1: Verification step stitched_ip_rtlsim throws an error
- Issue with launching build of IP: Exception: CreateStitchedIP failed, no wrapper HDL found HOT 2
- Memory Primitive Issue HOT 1
- Design built using RTL backend produces incorrect results HOT 4
- missing class "InferPool_Batch()" HOT 2
- 404 Not Found [IP: 185...] HOT 4
- Docker image build Fails Tests HOT 1
- ModuleNotFoundError: No module named 'finn.transformation.qonnx' HOT 1
- Adding typing annotations to FINN
- Fixed - Unable to run jupyter notebook HOT 3
- PermissionError: [Errno 13] Permission denied:, and WARNING: Unable to find /tools/Xilinx/Vitis/2022.2/settings64.sh HOT 1
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