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Hi, thanks for your excellent work to improve the scalability and performance of HLS, which is very helpful for hardware accelerator development.
After looking through your paper and code, I am wondering if there are any supports for arbitrary fixed-point numbers in ScaleHLS. I only found one test case involving a fixed integer in your repo (https://github.com/hanchenye/scalehls/blob/master/test/EmitHLSCpp/test_signature.mlir#L36). Though you have included the <ap_fixed> library in the generated C++ HLS code, it seems the fixed-point arithmetics have not been implemented in MLIR. Then how can users do quantization in ScaleHLS?
The text was updated successfully, but these errors were encountered:
Hi @chhzh123, thanks for your interest! Unfortunately, currently ScaleHLS only supports the built-in types implemented in MLIR and cannot model the ap_fixed types of Xilinx. A related discussion happened here which you can refer to a bit.
Hi, thanks for your excellent work to improve the scalability and performance of HLS, which is very helpful for hardware accelerator development.
After looking through your paper and code, I am wondering if there are any supports for arbitrary fixed-point numbers in ScaleHLS. I only found one test case involving a fixed integer in your repo (https://github.com/hanchenye/scalehls/blob/master/test/EmitHLSCpp/test_signature.mlir#L36). Though you have included the
<ap_fixed>
library in the generated C++ HLS code, it seems the fixed-point arithmetics have not been implemented in MLIR. Then how can users do quantization in ScaleHLS?The text was updated successfully, but these errors were encountered: