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https://github.com/vladmandic/automatic
synced 2026-09-19 01:04:32 +02:00
NNCF silence the pytorch version warning
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@@ -392,11 +392,14 @@ def decompress_int4_symmetric(input: torch.Tensor, scale: torch.Tensor, shape: t
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if shared.opts.nncf_decompress_compile:
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torch._dynamo.config.cache_size_limit = max(8192, torch._dynamo.config.cache_size_limit) # pylint: disable=protected-access
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decompress_asymmetric = torch.compile(decompress_asymmetric, fullgraph=True)
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decompress_symmetric = torch.compile(decompress_symmetric, fullgraph=True)
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decompress_int4_asymmetric = torch.compile(decompress_int4_asymmetric, fullgraph=True)
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decompress_int4_symmetric = torch.compile(decompress_int4_symmetric, fullgraph=True)
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try:
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torch._dynamo.config.cache_size_limit = max(8192, torch._dynamo.config.cache_size_limit) # pylint: disable=protected-access
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decompress_asymmetric = torch.compile(decompress_asymmetric, fullgraph=True)
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decompress_symmetric = torch.compile(decompress_symmetric, fullgraph=True)
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decompress_int4_asymmetric = torch.compile(decompress_int4_asymmetric, fullgraph=True)
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decompress_int4_symmetric = torch.compile(decompress_int4_symmetric, fullgraph=True)
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except Exception as e:
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shared.logs.warning(f"Quantization: type=nncf Decompress using torch.compile is not available: {e}")
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class INT8AsymmetricWeightsDecompressor(torch.nn.Module):
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