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[ET-VK] Generalize MeanToSumDiv to any dtype #3794

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[ET-VK] Generalize MeanToSumDiv to any dtype #3794

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[ET-VK] Generalize MeanToSumDiv to any dtype
jorgep31415 May 31, 2024
cbd5c54
Update on "[ET-VK] Generalize MeanToSumDiv to any dtype"
jorgep31415 Jun 3, 2024
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4 changes: 2 additions & 2 deletions backends/transforms/mean_to_sum_div.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

import torch
from executorch.exir.dialects._ops import ops as exir_ops

from executorch.exir.pass_base import ExportPass
Expand All @@ -19,6 +18,7 @@ def call_operator(self, op, args, kwargs, meta):
)
# args[0] is the input tensor
shape = args[0].node.meta["val"].shape
dtype = args[0].node.meta["val"].dtype
dims_to_reduce = args[1]
size = 1.0
for dim in dims_to_reduce:
Expand All @@ -32,7 +32,7 @@ def call_operator(self, op, args, kwargs, meta):
],
size,
),
{"dtype": torch.float32},
{"dtype": dtype},
meta,
)

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