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Insights: Xilinx/brevitas
Overview
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- 7 Merged pull requests
- 3 Open pull requests
- 1 Closed issue
- 0 New issues
There hasn’t been any commit activity on Xilinx/brevitas in the last week.
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7 Pull requests merged by 2 people
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Improvements to learned round
#1107 merged
Dec 3, 2024 -
Hierarchical scales
#1038 merged
Dec 3, 2024 -
Fix (hadamard): remove hadamard loading warning
#1108 merged
Dec 3, 2024 -
Feat auto round
#1064 merged
Dec 3, 2024 -
Feat (brevitas_examples/llm): remove dependencies from optimum-amd
#1094 merged
Dec 2, 2024 -
Fix LLM tests
#1088 merged
Nov 28, 2024 -
Feat: Per-Row po2 float ocp
#1102 merged
Nov 27, 2024
3 Pull requests opened by 1 person
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[DRAFT] Handle inplace operations in forward when offloading
#1103 opened
Nov 27, 2024 -
[DRAFT] LLM benchmark
#1104 opened
Nov 27, 2024 -
[DO NOT MERGE] MSE optimal scale
#1105 opened
Dec 2, 2024
1 Issue closed by 1 person
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Doubt about the __add__ implementation of the IntQuantTensor
#1106 closed
Dec 3, 2024
4 Unresolved conversations
Sometimes conversations happen on old items that aren’t yet closed. Here is a list of all the Issues and Pull Requests with unresolved conversations.
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Feat (nn/sdpa): quantization of scaled dot-product attention
#1090 commented on
Dec 3, 2024 • 2 new comments -
RuntimeError: Module <class 'brevitas.proxy.float_runtime_quant.ActFloatQuantProxyFromInjector'> not supported for export
#1091 commented on
Nov 29, 2024 • 0 new comments -
Feat (export): dequantize during export
#1083 commented on
Nov 28, 2024 • 0 new comments -
Setup: unpin Numpy
#1093 commented on
Nov 28, 2024 • 0 new comments