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[pytorch][ao] force weight observer/fake_quant to be on the same device as the weight tensor #106755

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[pytorch][ao] force weight observer/fake_quant to be on the same device as the weight tensor #106755

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4 changes: 4 additions & 0 deletions torch/ao/quantization/fx/convert.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,6 +51,7 @@
_get_module,
_is_custom_module_lstm,
_is_custom_module_mha,
assert_and_get_unique_device,
get_custom_module_class_keys,
create_getattr_from_value,
collect_producer_nodes,
Expand Down Expand Up @@ -733,6 +734,9 @@ def convert_weighted_module(
is_ptq = weight_post_process is None
if is_ptq:
weight_post_process = qconfig.weight() # type: ignore[union-attr, operator]
device = assert_and_get_unique_device(float_module)
if device:
weight_post_process.to(device)

# Call weight observer/fake_quant at least once to ensure the scales and zero points
# have the right shapes. Note: there are two cases where we don't have to do this:
Expand Down