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microsoft
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CodeQL
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#11919:
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fix(torchlib): clamp quantize_per_tensor to quant_min/quant_max
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fix(torchlib): clamp quantize_per_tensor to quant_min/quant_max
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fix(torchlib): clamp quantize_per_tensor to quant_min/quant_max
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Keep the saturate attribute when constant folding rewrites CastLike to Cast
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#12579:
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Keep the saturate attribute when constant folding rewrites CastLike to Cast
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Keep the saturate attribute when constant folding rewrites CastLike to Cast
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Fix IndexError in fuse_pad_into_conv when Pad carries pads as an attribute
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#11916:
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Fix IndexError in fuse_pad_into_conv when Pad carries pads as an attribute
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Fix IndexError in fuse_pad_into_conv when Pad carries pads as an attribute
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Fix xlogy returning 0 instead of NaN when self is 0 and other is NaN
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Fix xlogy returning 0 instead of NaN when self is 0 and other is NaN
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Fix xlogy returning 0 instead of NaN when self is 0 and other is NaN
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Skip constant folding for non-deterministic Bernoulli
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#11914:
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pip in /requirements/ci - Update #1616100921
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fix(rewriter): match arithmetic identity constants exactly
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fix(rewriter): match arithmetic identity constants exactly
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[torchlib] Support class probability targets in aten::cross_entropy_loss
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#12496:
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[torchlib] Support class probability targets in aten::cross_entropy_loss
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