torchbench_bfloat16_training
xpu train demucs
Traceback (most recent call last):
File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/common.py", line 2294, in validate_model
self.model_iter_fn(model, example_inputs)
File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/torchbench.py", line 456, in forward_and_backward_pass
pred = mod(cloned_inputs)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1566, in _wrapped_call_impl
return self._call_impl(args, kwargs)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1575, in _call_impl
return forward_call(*args, *kwargs)
File "/home/sdp/actions-runner/_work/torch-xpu-ops/benchmark/torchbenchmark/models/demucs/init.py", line 29, in forward
return sources, self.model(mix)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1566, in _wrapped_call_impl
return self._call_impl(args, kwargs)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1575, in _call_impl
return forward_call(*args, kwargs)
File "/home/sdp/actions-runner/_work/torch-xpu-ops/benchmark/torchbenchmark/models/demucs/demucs/model.py", line 204, in forward
x = encode(x)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1566, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1575, in _call_impl
return forward_call(args, kwargs)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/container.py", line 219, in forward
input = module(input)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1566, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1575, in _call_impl
return forward_call(args, **kwargs)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 308, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 304, in _conv_forward
return F.conv1d(input, weight, bias, self.stride,
RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/common.py", line 4177, in run
) = runner.load_model(
File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/torchbench.py", line 380, in load_model
self.validate_model(model, example_inputs)
File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/common.py", line 2296, in validate_model
raise RuntimeError("Eager run failed") from e
RuntimeError: Eager run failed
🐛 Describe the bug
torchbench_bfloat16_training xpu train demucs
Traceback (most recent call last): File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/common.py", line 2294, in validate_model self.model_iter_fn(model, example_inputs) File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/torchbench.py", line 456, in forward_and_backward_pass pred = mod(cloned_inputs) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1566, in _wrapped_call_impl return self._call_impl(args, kwargs) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1575, in _call_impl return forward_call(*args, *kwargs) File "/home/sdp/actions-runner/_work/torch-xpu-ops/benchmark/torchbenchmark/models/demucs/init.py", line 29, in forward return sources, self.model(mix) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1566, in _wrapped_call_impl return self._call_impl(args, kwargs) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1575, in _call_impl return forward_call(*args, kwargs) File "/home/sdp/actions-runner/_work/torch-xpu-ops/benchmark/torchbenchmark/models/demucs/demucs/model.py", line 204, in forward x = encode(x) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1566, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1575, in _call_impl return forward_call(args, kwargs) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/container.py", line 219, in forward input = module(input) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1566, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1575, in _call_impl return forward_call(args, **kwargs) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 308, in forward return self._conv_forward(input, self.weight, self.bias) File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 304, in _conv_forward return F.conv1d(input, weight, bias, self.stride, RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same
The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/common.py", line 4177, in run ) = runner.load_model( File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/torchbench.py", line 380, in load_model self.validate_model(model, example_inputs) File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/common.py", line 2296, in validate_model raise RuntimeError("Eager run failed") from e RuntimeError: Eager run failed
eager_fail_to_run
loading model: 0it [00:00, ?it/s] loading model: 0it [01:18, ?it/s]
Versions
torch-xpu-ops: https://github.com/intel/torch-xpu-ops/commit/31c400195d63064940242220dc9100322d36bac4 pytorch: 0f81473d7b4a1bf09246410712df22541be7caf3 + PRs: 127277,129120 device: PVC 1100, 803.61, 0.5.1