rename ir printing logger + add to stablehlo_backend

projects/pt1/e2e_testing/main.py

@@ -98,15 +98,16 @@ def _get_argparse():
 def main():
     args = _get_argparse().parse_args()
 
-    logger = logging.getLogger("e2e_test")
+    ir_printer = logging.getLogger("ir_printer")
     if args.print_ir:
         print("WARNING: --print-ir is a work in progress feature.")
         print("print-ir: Setting logging level to DEBUG and enabling IR printing.")
         print("print-ir: This currently only affects the Linalg-on-Tensors and onnx configs.")
         print("print-ir: Work in progress. See https://github.com/llvm/torch-mlir/issues/3172")
-        logger.setLevel(logging.DEBUG)
+        ir_printer.setLevel(logging.DEBUG)
     else:
-        logger.setLevel(logging.WARNING)
+        # disable logging
+        ir_printer.setLevel(logging.CRITICAL+1)
 
 
     all_test_unique_names = set(

projects/pt1/python/torch_mlir_e2e_test/configs/linalg_on_tensors_backend.py

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 # Also available under a BSD-style license. See LICENSE.
 import logging
-logger = logging.getLogger("e2e_test")
+ir_printer = logging.getLogger("ir_printer")
 
 from typing import Any
 
@@ -34,9 +34,9 @@ def compile(self, program: torch.nn.Module) -> Any:
         example_args = convert_annotations_to_placeholders(program.forward)
         module = torchscript.compile(
             program, example_args, output_type="linalg-on-tensors")
-        logger.debug("LinalgOnTensorsBackendTestConfig compiled module:")
-        logger.debug(module)
-        logger.debug("End LinalgOnTensorsBackendTestConfig compiled module")
+        ir_printer.debug("LinalgOnTensorsBackendTestConfig compiled module:")
+        ir_printer.debug(module)
+        ir_printer.debug("End LinalgOnTensorsBackendTestConfig compiled module")
         return self.backend.compile(module)
 
 

projects/pt1/python/torch_mlir_e2e_test/configs/onnx_backend.py

@@ -23,7 +23,7 @@
 from torch_mlir.dialects import torch as torch_d
 from torch_mlir.ir import Context, Module
 import logging
-logger = logging.getLogger("e2e_test")
+ir_printer = logging.getLogger("ir_printer")
 
 def import_onnx(contents):
     # Import the ONNX model proto from the file contents:
@@ -83,9 +83,9 @@ def __init__(self, backend: OnnxBackend, use_make_fx: bool = False):
     def compile(self, program: torch.nn.Module) -> Any:
         example_args = convert_annotations_to_placeholders(program.forward)
         onnx_module = convert_onnx(program, example_args)
-        logger.debug("OnnxBackendTestConfig imported module:")
-        logger.debug(onnx_module)
-        logger.debug("End OnnxBackendTestConfig imported module")
+        ir_printer.debug("OnnxBackendTestConfig imported module:")
+        ir_printer.debug(onnx_module)
+        ir_printer.debug("End OnnxBackendTestConfig imported module")
         compiled_module = self.backend.compile(onnx_module)
         return compiled_module
 

projects/pt1/python/torch_mlir_e2e_test/configs/stablehlo_backend.py

@@ -2,6 +2,8 @@
 # See https://llvm.org/LICENSE.txt for license information.
 # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 # Also available under a BSD-style license. See LICENSE.
+import logging
+ir_printer = logging.getLogger("ir_printer")
 
 from typing import Any
 
@@ -31,7 +33,9 @@ def __init__(self, backend: StablehloBackend):
     def compile(self, program: torch.nn.Module) -> Any:
         example_args = convert_annotations_to_placeholders(program.forward)
         module = torchscript.compile(program, example_args, output_type="stablehlo")
-
+        ir_printer.debug("StablehloBackendTestConfig compiled module:")
+        ir_printer.debug(module)
+        ir_printer.debug("End StablehloBackendTestConfig compiled module")
         return self.backend.compile(module)
 
     def run(self, artifact: Any, trace: Trace) -> Trace: