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Description
Bug Description
when i use torch_tensorrt.compile transformer module with dynamic_shapes, it will occur this error,
To Reproduce
def test_compile_v1():
model = AutoModel.from_pretrained('bert-base-case', use_cache=False)
# Enabled precision for TensorRT optimization
enabled_precisions = {torch.half}
# Whether to print verbose logs
debug = False
# Workspace size for TensorRT
workspace_size = 20 << 30
# Maximum number of TRT Engines
# (Lower value allows more graph segmentation)
min_block_size = 7
# Operations to Run in Torch, regardless of converter support
torch_executed_ops = {}
input_ids = torch.randint(2, 100, (1, 16), device=DEVICE)
torch._dynamo.mark_dynamic(input_ids, 1, min=2, max=512)
trt_model = torch_tensorrt.compile(
model,
ir='torch_compile',
inputs=input_ids,
enabled_precisions=enabled_precisions,
debug=debug,
workspace_size=workspace_size,
min_block_size=min_block_size,
torch_executed_ops=torch_executed_ops,
)
out1 = trt_model(input_ids)
print(out1)
Environment
- Torch-TensorRT: 2.4.0
- PyTorch: 2.4.0
- transformers: 4.44.2
- CPU Architecture: x86_64 GNU
- OS: Linux
- How you installed PyTorch: pip
- Python: 3.11
- CUDA: 12.4
- GPU models and configuration: A100-SXM4-80
errors:
