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Fix T248482926 #16409

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Fix T248482926 #16409

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11 changes: 5 additions & 6 deletions backends/cadence/aot/replace_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,10 +19,7 @@

import torch
import torch.fx
from executorch.backends.cadence.aot.compiler_utils import (
get_zero_point,
quantize_tensor_multiplier,
)
from executorch.backends.cadence.aot.compiler_utils import quantize_tensor_multiplier
from executorch.backends.cadence.aot.fuse_ops import (
FuseCascadedTransposeOrPermuteOps,
FuseCascadedViewOps,
Expand Down Expand Up @@ -1463,10 +1460,12 @@ def maybe_remove_or_replace(self, node: torch.fx.Node) -> bool:
kernel_size = list(weight_shape[1:-1] if channel_last else weight_shape[2:])
# If the transposed_convolution op was quantized, we need the input tensor's
# zero_point for im2row. Otherwise in_zero_point defaults to a zero
# tensor.
# tensor. For quantized ops, the input_zero_point is at args[8] as an int,
# and we need to convert it to a tensor since transposed_im2row expects
# a Tensor for in_zero_point (unlike im2row which expects an int).
assert isinstance(in_tensor, torch.fx.Node)
in_zero_point = (
get_zero_point(in_tensor.meta["val"])
torch.tensor(node.args[8], dtype=torch.int32)
if quantized_op
else torch.tensor(0, dtype=torch.int32)
)
Expand Down
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