mirror of https://github.com/llvm/torch-mlir
d2c387dd04
Previously, if the value was absent, this conversion was creating a dense resource of value 0 with shape equal to the result shape, then later re-extracting a splat value. This only works if the shape is statically known, and even when the shape is known, this is completely unnecessary since the value's shape should be `[1]` and not the result shape. This patch simply sets the `splatvalue` to a `torch.constant.float 0.0` when the onnx op's `value` attr is absent, and adds `nullptr` checks to the subsequent conditionals to avoid them in the case where an `attr` is not given. Addresses <https://github.com/nod-ai/SHARK-Turbine/issues/831>. |
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| .. | ||
| CAPI | ||
| Conversion | ||
| Dialect | ||
| RefBackend | ||
| python | ||
| CMakeLists.txt | ||
| lit.cfg.py | ||
| lit.site.cfg.py.in | ||