ValueError: (InvalidArgument) Broadcast dimension mismatch.
- Dominant language
- Python
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Description
执行“bash run.sh atis_intent train”命令时出现如下错误:
ValueError: (InvalidArgument) Broadcast dimension mismatch. Operands could not be broadcast together with the shape of X = [-1, 12, 128, 128] and the shape of Y = [-1, 12, -1]. Received [128] in X is not equal to [12] in Y at i:2.
[Hint: Expected x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1 == true, but received x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1:0 != true:1.] (at /paddle/paddle/fluid/operators/elementwise/elementwise_op_function.h:169)
[operator < elementwise_add > error]
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Research direction
Reproduce the failure with `bash run.sh atis_intent train`, then inspect `run.sh` and the `atis_intent` training entry point. Trace the `elementwise_add` operands that produce shapes `[-1, 12, 128, 128]` and `[-1, 12, -1]`; done means training runs without the broadcast dimension mismatch.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100