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Add grouped convolution support #8341
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tapspatel
requested review from
tt-nshanker,
eyonland,
arakhmati,
cfjchu,
xanderchin,
TT-BrianLiu,
tt-aho and
mywoodstock
as code owners
May 10, 2024 07:28
Issue: #8340 |
@tapspatel I think we should wait a couple days -- to get the new c++ convs in and then update this PR to use the new version. |
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TT-BrianLiu
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m_tensor.def( | ||
"convert_conv_weight_tensor_to_grouped_layout", | ||
&convert_conv_weight_tensor_to_grouped_layout, | ||
py::arg("conv_weight_tensor").noconvert(), | ||
py::arg("num_groups"), | ||
py::arg("output_dtype").noconvert() = std::nullopt, | ||
R"doc( | ||
Converts convolution weights to grouped layout with padded zeros | ||
Returns a new tensor with the converted layout. | ||
|
||
+----------+----------------------+-----------+-------------+----------+ | ||
| Argument | Description | Data type | Valid range | Required | | ||
+==========+======================+===========+=============+==========+ | ||
| a | Input tensor | Tensor | | Yes | | ||
+----------+----------------------+-----------+-------------+----------+ | ||
)doc"); | ||
|
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I think we should eventually move these bindings to a lower level module that's not just ttl.tensor.*
.
TT-BrianLiu
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May 24, 2024
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