Fix einsum operator for empty inputs
#23379
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Signed-off-by: neNasko1 <[email protected]>
Signed-off-by: neNasko1 <[email protected]>
Signed-off-by: neNasko1 <[email protected]>
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| Tensor& output = *context_->Output(0, output_dims); | ||
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| if constexpr (std::is_integral<T>::value) { | ||
| std::fill_n(reinterpret_cast<T*>(output.MutableDataRaw()), output.Shape().Size(), T(0)); |
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This logic needs a device abstraction. The output data could on CUDA for example and we need to populate it appropriately.
hariharans29
requested changes
Jan 17, 2025
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Description
Implement a short-circuit to take care of the case of an empty input in
einsumfor thecpuprovider.Motivation and Context
Currently the
einsumoperator was segmentation faulting whenever it was passed an empty input. All the related test cases are demonstrating this.