mirror of https://github.com/llvm/torch-mlir
0fb8b017d8
This patch adds a few misc pad op related changes: 1. Addresses issue <https://github.com/llvm/torch-mlir/issues/3457> 2. Addresses issue <https://github.com/llvm/torch-mlir/issues/3442> 3. Fixes the padding order for asymmetrically padded onnx.Conv ops 4. Enables passing quantization through those onnx.Conv op pre-paddings 5. Modifies the torch-to-linalg lowering of AtenReplicationPad2d op to enable support for input rank != 4 Unfortunately, even with all of these changes, the e2e tests for the ReplicationPad2d still fail the onnx config, since the torch export procedure for rearranging the pad order is complicated enough that the padding ints end up not being able to fold back to constants. |
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| .. | ||
| GlobalizeObjectGraph | ||
| adjust-calling-conventions.mlir | ||
| canonicalize.mlir | ||
| decompose-complex-ops-legal.mlir | ||
| decompose-complex-ops.mlir | ||
| drop-abstract-interp-calculations.mlir | ||
| erase-module-initializer.mlir | ||
| fuse-quantized-ops.mlir | ||
| inline-global-slots-analysis.mlir | ||
| inline-global-slots-transform.mlir | ||
| invalid.mlir | ||
| lower-to-backend-contract-error.mlir | ||
| match-quantized-customs-ops.mlir | ||
| maximize-value-semantics.mlir | ||
| ops.mlir | ||
| prepare-for-globalize-object-graph.mlir | ||
| reduce-op-variants-error.mlir | ||
| reduce-op-variants.mlir | ||
| refine-public-return.mlir | ||
| reify-dtype-calculations.mlir | ||
| reify-shape-calculations.mlir | ||
| scalarize-shapes.mlir | ||
| simplify-dtype-calculations.mlir | ||
| simplify-shape-calculations.mlir | ||
| torch-function-to-torch-backend-pipeline.mlir | ||
| torch-nary-canonicalize.mlir | ||
| verify-backend-contract-error.mlir | ||
| verify-backend-contract-unimplemented-op.mlir | ||