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Merged
merged 2 commits into from
Sep 30, 2024
Merged

Update dynamic_quantization.py #3060

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Update dynamic_quantization.py
deo-abhijit Sep 24, 2024
fa7f3ee
Merge branch 'main' into patch-1
deo-abhijit Sep 30, 2024
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2 changes: 1 addition & 1 deletion recipes_source/recipes/dynamic_quantization.py
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Expand Up @@ -162,7 +162,7 @@ def forward(self,inputs,hidden):
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Now we get to the fun part. First we create an instance of the model
# called ``float\_lstm`` then we are going to quantize it. We're going to use
# called ``float_lstm`` then we are going to quantize it. We're going to use
# the `torch.quantization.quantize_dynamic <https://pytorch.org/docs/stable/quantization.html#torch.quantization.quantize_dynamic>`__ function, which takes the model, then a list of the submodules
# which we want to
# have quantized if they appear, then the datatype we are targeting. This
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