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Add int4 weight-only embedding QAT #947
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/947
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit cbf980e with merge base 8af72fc (): This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Based on changes in D62664322 by Tijmen Blankevoort.
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def forward(self, x): | ||
from torchao._executorch_ops import _quantized_decomposed_dequantize_per_channel_group_wrapper | ||
qmin, qmax = _get_qmin_qmax(self.bit_width) | ||
w_dq = _quantized_decomposed_dequantize_per_channel_group_wrapper( |
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is this lowered to executorch?
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yeah
Based on changes in pytorch#886 by @TiRune
Based on changes in #886 by @TiRune