masahi commented on a change in pull request #5839:
URL: https://github.com/apache/incubator-tvm/pull/5839#discussion_r442127672
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File path: python/tvm/relay/frontend/pytorch.py
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@@ -595,15 +601,18 @@ def _impl(inputs, input_types):
return _op.log(_op.tensor.sigmoid(data))
return _impl
-def _adaptive_avg_pool_2d():
+def _adaptive_avg_pool_2d(prelude):
def _impl(inputs, input_types):
data = inputs[0]
output_size = _infer_shape(inputs[1])
def func(x):
return _op.nn.adaptive_avg_pool2d(x, output_size=output_size)
- if input_types[0] == "quint8":
+ # If a quantized Torch module is saved and loaded back, dtype will be
dropped
+ # input_types[0] can be float even though the input is a quantized
tensor
+ # To reliably determine input types, we use Relay's type inference
result
+ if _is_quantized_tensor(data, prelude):
Review comment:
done
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