e1386b0689
* Add shape inference for Ops used by BERT * Erf * Pow * ReduceMean * Dropout * Expand https://github.com/onnx/onnx/blob/master/docs/Operators.md#expand Deduce the value of the shape operand by looking at the producer of the operand. Currently supported producers are: onnx.Constant and onnx.Shape. * Add corresponding tests for each op. * Sort the list of ops with shape inference in gen_onnx_mlir.py in alphabetic order for clarity. * Restart CI Co-authored-by: Tian Jin <tjingrant@gmail.com> |
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onnx_bundle_memory_pool.mlir | ||
onnx_canonicalization.mlir | ||
onnx_constprop.mlir | ||
onnx_decompose.mlir | ||
onnx_elide_constants.mlir | ||
onnx_enable_memory_pool.mlir | ||
onnx_krnl_global_elision.mlir | ||
onnx_lowering.mlir | ||
onnx_lowering_with_dealloc.mlir | ||
onnx_shape_inference.mlir | ||
onnx_shape_inference_maxpool.mlir | ||
onnx_structure.mlir |