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alleviate softmax datatype check #24
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tanyokwok
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Nov 25, 2022
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| // Do not need check dtype args here, since dtype have been infered in op.getType() | ||
| // if (!op.dtype().getType().isa<Torch::NoneType>()) | ||
| // return rewriter.notifyMatchFailure( | ||
| // op, "Unimplemented non-None dtype for softmax"); |
tanyokwok
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JamesTheZ
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* Fix float width * Fix divide_floor & export promoteTypes api (#9) * To comply with the old pytorch versions * Add native_dropout_backward & native_layer_norm_backward decomposition (#15) * Add native_dropout and related ops pattern (llvm#1211) * [MHLO] fix dot general contract * Fix batch_norm, div.Tensor_mode and folder (#21) * Reimplement linear lowering * Reimplement 2-D rhs for mutmul * Add torchdynamo * Decompose torch.slice_scatter (llvm#1622) * Fix i64 torch.tensor dtype * Add more mhlo basic converters * Alleviate softmax datatype check (#24) * Fix decompose native_batch_norm (#27) * Support group_norm lowering (#25) * Decompose torch.ones/zeros (#28) * Fix softmax output type * Fix gather * Fix some decompose patterns * Not check assert at runtime (#31) * Fix bool tensor attr conversion bug (#32) * Fix mlirDenseElementsAttrBoolGet
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* Fix float width * Fix divide_floor & export promoteTypes api (#9) * To comply with the old pytorch versions * Add native_dropout_backward & native_layer_norm_backward decomposition (#15) * Add native_dropout and related ops pattern (llvm#1211) * [MHLO] fix dot general contract * Fix batch_norm, div.Tensor_mode and folder (#21) * Reimplement linear lowering * Reimplement 2-D rhs for mutmul * Add torchdynamo * Decompose torch.slice_scatter (llvm#1622) * Fix i64 torch.tensor dtype * Add more mhlo basic converters * Alleviate softmax datatype check (#24) * Fix decompose native_batch_norm (#27) * Support group_norm lowering (#25) * Decompose torch.ones/zeros (#28) * Fix softmax output type * Fix gather * Fix some decompose patterns * Not check assert at runtime (#31) * Fix bool tensor attr conversion bug (#32) * Fix mlirDenseElementsAttrBoolGet Co-Authored-By: ZHENG, Zhen <[email protected]>
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* Rewrite mhlo with stablehlo after rebase. * Fix BAZEL building error of multiple definition. * Fix float width * Fix divide_floor & export promoteTypes api (#9) * To comply with the old pytorch versions * Add native_dropout_backward & native_layer_norm_backward decomposition (#15) * Add native_dropout and related ops pattern (llvm#1211) * [MHLO] fix dot general contract * Fix batch_norm, div.Tensor_mode and folder (#21) * Reimplement linear lowering * Reimplement 2-D rhs for mutmul * Add torchdynamo * Decompose torch.slice_scatter (llvm#1622) * Fix i64 torch.tensor dtype * Add more mhlo basic converters * Alleviate softmax datatype check (#24) * Fix decompose native_batch_norm (#27) * Support group_norm lowering (#25) * Decompose torch.ones/zeros (#28) * Fix softmax output type * Fix gather * Fix some decompose patterns * Not check assert at runtime (#31) * Fix bool tensor attr conversion bug (#32) * Fix mlirDenseElementsAttrBoolGet --------- Co-authored-by: ZHENG, Zhen <[email protected]>
JamesTheZ
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Jul 25, 2023
* Rewrite mhlo with stablehlo after rebase. * Fix BAZEL building error of multiple definition. * Fix float width * Fix divide_floor & export promoteTypes api (#9) * To comply with the old pytorch versions * Add native_dropout_backward & native_layer_norm_backward decomposition (#15) * Add native_dropout and related ops pattern (llvm#1211) * [MHLO] fix dot general contract * Fix batch_norm, div.Tensor_mode and folder (#21) * Reimplement linear lowering * Reimplement 2-D rhs for mutmul * Add torchdynamo * Decompose torch.slice_scatter (llvm#1622) * Fix i64 torch.tensor dtype * Add more mhlo basic converters * Alleviate softmax datatype check (#24) * Fix decompose native_batch_norm (#27) * Support group_norm lowering (#25) * Decompose torch.ones/zeros (#28) * Fix softmax output type * Fix gather * Fix some decompose patterns * Not check assert at runtime (#31) * Fix bool tensor attr conversion bug (#32) * Fix mlirDenseElementsAttrBoolGet
JamesTheZ
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Jul 27, 2023
* Rewrite mhlo with stablehlo after rebase. * Fix BAZEL building error of multiple definition. * Fix float width * Fix divide_floor & export promoteTypes api (#9) * To comply with the old pytorch versions * Add native_dropout_backward & native_layer_norm_backward decomposition (#15) * Add native_dropout and related ops pattern (llvm#1211) * [MHLO] fix dot general contract * Fix batch_norm, div.Tensor_mode and folder (#21) * Reimplement linear lowering * Reimplement 2-D rhs for mutmul * Add torchdynamo * Decompose torch.slice_scatter (llvm#1622) * Fix i64 torch.tensor dtype * Add more mhlo basic converters * Alleviate softmax datatype check (#24) * Fix decompose native_batch_norm (#27) * Support group_norm lowering (#25) * Decompose torch.ones/zeros (#28) * Fix softmax output type * Fix gather * Fix some decompose patterns * Not check assert at runtime (#31) * Fix bool tensor attr conversion bug (#32) * Fix mlirDenseElementsAttrBoolGet
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