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[TOSA] Add TosaLayerwiseConstantFoldPass and TosaReduceTransposes passes #4165

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Merged
merged 1 commit into from
Apr 28, 2025
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[TOSA] Add TosaLayerwiseConstantFoldPass and TosaReduceTransposes passes #4165

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6 changes: 6 additions & 0 deletions lib/Dialect/TorchConversion/Transforms/Passes.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -117,6 +117,12 @@ void TorchConversion::createTorchBackendToTosaBackendPipeline(
const TorchConversion::TosaBackendPipelineOptions &options) {
pm.addNestedPass<func::FuncOp>(
createConvertTorchToTosaPass(options.requireFullTosaConversion));
// Fold full-layer operations on TOSA constants
pm.addNestedPass<func::FuncOp>(createTosaLayerwiseConstantFoldPass());

// Perform transpose reductions for avoidable data movements
pm.addNestedPass<func::FuncOp>(createTosaReduceTransposes());

// Perform rank broadcasting so TosaToLinalg pass works
pm.addNestedPass<func::FuncOp>(createTosaMakeBroadcastablePass());

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9 changes: 9 additions & 0 deletions projects/pt1/e2e_testing/xfail_sets.py
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Expand Up @@ -1731,6 +1731,15 @@
"HBC_basic",
# 1D inputs cause generated tosa.negate ops to crash downstream
"NllLossModule_1D_basic",
# BertModule is not crashing, but is timing out due to TosaLayerwiseConstantFoldPass:
# Exception ignored on calling ctypes callback function: <function RefBackendInvoker.__init__.<locals>.consume_return_funcs at 0x765783f12c20>
# Traceback (most recent call last):
# File "torch-mlir/build/tools/torch-mlir/python_packages/torch_mlir/torch_mlir_e2e_test/linalg_on_tensors_backends/refbackend.py", line 101, in consume_return_funcs
# def consume_return_funcs(*args):
# File "torch-mlir/build/tools/torch-mlir/python_packages/torch_mlir/torch_mlir_e2e_test/framework.py", line 316, in handle_timeout
# raise TimeoutError(self.error_message)
# TimeoutError: Timeout
"BertModule_basic",
}

# Write the TOSA set as a "passing" set as it is very early in development
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