feat: Add support for passing through build issues in Dynamo compile

py/torch_tensorrt/dynamo/backend/__init__.py

@@ -16,6 +16,7 @@
     DEBUG,
     MAX_WORKSPACE_SIZE,
     MIN_BLOCK_SIZE,
+    PASS_THROUGH_BUILD_FAILURES,
 )
 
 
@@ -52,7 +53,8 @@ def compile(
     logger.warn(
         "The Dynamo backend is an experimental feature, for which only the "
         + "following arguments are supported: "
-        + "{enabled_precisions, debug, workspace_size, min_block_size, torch_executed_ops}"
+        + "{enabled_precisions, debug, workspace_size, min_block_size, "
+        + "torch_executed_ops, pass_through_build_failures}"
     )
 
     if not isinstance(inputs, collections.abc.Sequence):
@@ -106,6 +108,7 @@ def create_backend(
     workspace_size: int = MAX_WORKSPACE_SIZE,
     min_block_size: int = MIN_BLOCK_SIZE,
     torch_executed_ops: Sequence[str] = set(),
+    pass_through_build_failures: bool = PASS_THROUGH_BUILD_FAILURES,
     **kwargs,
 ):
     """Create torch.compile backend given specified arguments
@@ -118,12 +121,16 @@ def create_backend(
     Returns:
         Backend for torch.compile
     """
+    if debug:
+        logger.setLevel(logging.DEBUG)
+
     settings = CompilationSettings(
         debug=debug,
         precision=precision,
         workspace_size=workspace_size,
         min_block_size=min_block_size,
         torch_executed_ops=torch_executed_ops,
+        pass_through_build_failures=pass_through_build_failures,
     )
 
     return partial(

py/torch_tensorrt/dynamo/backend/_defaults.py

@@ -5,3 +5,4 @@
 DEBUG = False
 MAX_WORKSPACE_SIZE = 20 << 30
 MIN_BLOCK_SIZE = 5
+PASS_THROUGH_BUILD_FAILURES = False

py/torch_tensorrt/dynamo/backend/_settings.py

@@ -7,6 +7,7 @@
     DEBUG,
     MAX_WORKSPACE_SIZE,
     MIN_BLOCK_SIZE,
+    PASS_THROUGH_BUILD_FAILURES,
 )
 
 
@@ -17,3 +18,4 @@ class CompilationSettings:
     workspace_size: int = MAX_WORKSPACE_SIZE
     min_block_size: int = MIN_BLOCK_SIZE
     torch_executed_ops: Sequence[str] = field(default_factory=set)
+    pass_through_build_failures: bool = PASS_THROUGH_BUILD_FAILURES

py/torch_tensorrt/dynamo/backend/backends.py

@@ -1,6 +1,6 @@
+import logging
 from typing import Sequence
 import torch
-import traceback
 from functools import partial
 import torch._dynamo as td
 
@@ -19,6 +19,9 @@
 from torch._functorch.aot_autograd import aot_module_simplified, make_boxed_compiler
 
 
+logger = logging.getLogger(__name__)
+
+
 @td.register_backend(name="torch_tensorrt")
 @fake_tensor_unsupported
 def torch_tensorrt_backend(
@@ -75,12 +78,22 @@ def _pretraced_backend(
         )
         return trt_compiled
     except:
-        traceback.print_exc()
-        print(
+        logger.error(
             "FX2TRT conversion failed on the subgraph. See trace above. "
-            + "Returning GraphModule forward instead."
+            + "Returning GraphModule forward instead.",
+            exc_info=True,
         )
-        return gm.forward
+
+        if not settings.pass_through_build_failures:
+            return gm.forward
+        else:
+            raise AssertionError(
+                "Halting compilation on build failure since "
+                + "pass_through_build_failures was specified as True. "
+                + "To return the default Torch implementation and avoid "
+                + "halting compilation on engine build failures, "
+                + "specify pass_through_build_failures=False."
+            )
 
 
 def _compile_module(

py/torch_tensorrt/dynamo/backend/test/utils.py

@@ -124,7 +124,7 @@ def lower_graph_testing(
     torch_executed_ops: Sequence[str] = set(),
     testing_partitioning: bool = False,
 ):
-    """Helper function to assist with graph lowering for testing of Dynamo torch_compile
+    """Helper function to assist with graph lowering for testing of Dynamo compile
 
     Args:
         fx_graph: Graph to lower

py/torch_tensorrt/dynamo/test/test_dynamo_backend.py

@@ -7,7 +7,10 @@
 
 from transformers import BertModel
 
-from utils import COSINE_THRESHOLD, cosine_similarity
+from torch_tensorrt.dynamo.common_utils.test_utils import (
+    COSINE_THRESHOLD,
+    cosine_similarity,
+)
 
 
 @pytest.mark.unit
@@ -30,7 +33,7 @@ def test_resnet18(ir):
     cos_sim = cosine_similarity(model(input), trt_mod(input))
     assert (
         cos_sim > COSINE_THRESHOLD,
-        f"Resnet50 TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        f"Resnet18 TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
     )
 
     # Clean up model env
@@ -163,7 +166,7 @@ def test_resnet18_half(ir):
     cos_sim = cosine_similarity(model(input), trt_mod(input))
     assert (
         cos_sim > COSINE_THRESHOLD,
-        f"Resnet50 Half TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        f"Resnet18 Half TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
     )
 
     # Clean up model env