mirror of https://github.com/llvm/torch-mlir
af236dab66
Addresses an issue with onnx.Gather lowering to linalg: <https://github.com/nod-ai/SHARK-Turbine/issues/242> The builder for tensor.expand_shape, without an explicitly provided output shape, fails to infer an output shape in the case of multiple dynamic reassociation dims. I tried adding the output shape explicitly for tensor.expand_shape, but ran into compilation issues later on (see <https://github.com/iree-org/iree/issues/17760>). This PR adds support by lowering this op to tensor.reshape when multiple dynamic reassociation dims are provided. |
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| .. | ||
| basic.mlir | ||
| broadcast.mlir | ||
| convolution.mlir | ||
| elementwise.mlir | ||
| flatten.mlir | ||
| gridsampler.mlir | ||
| pooling.mlir | ||
| resize.mlir | ||
| sparse.mlir | ||
| unsqueeze.mlir | ||
| view.mlir | ||
| view_strict.mlir | ||