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| name | about | labels |
|---|---|---|
| Bug Report | Use this template for reporting a bug | kind/bug |
graph模式下，动态shape场景，tile算子infer存在问题，使ApplyMomentum算子出现variable_shape which is [const vector]{1} , but got [const vector]{1, 1, 1, 1}
Ascend/GPU/CPU) / 硬件环境:Please delete the backend not involved / 请删除不涉及的后端:
/device ascend/GPU/CPU/
Software Environment / 软件环境 (Mandatory / 必填):
-- MindSpore version (e.g., 1.7.0.Bxxx) :
-- Python version (e.g., Python 3.7.5) :
-- OS platform and distribution (e.g., Linux Ubuntu 16.04):
-- GCC/Compiler version (if compiled from source):
Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):
Please delete the mode not involved / 请删除不涉及的模式:
/mode graph
solution_test/cases/03subject_test/02usability/model_develop/dynamic_shape/test_ms_dynamic_shape_hw_dynamic_sink_mode_0001/test_ms_dynamic_shape_hw_dynamic_sink_mode_0001.py
执行成功无异常
Traceback (most recent call last):
File "../test_ms_dynamic_shape_hw_dynamic_sink_mode_0001_GRAPH_MODE/train_dynamic_net.py", line 393, in <module>
train_net_with_model()
File "../test_ms_dynamic_shape_hw_dynamic_sink_mode_0001_GRAPH_MODE/train_dynamic_net.py", line 232, in train_net_with_model
sink_size=config.sink_size)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/train/model.py", line 1070, in train
initial_epoch=initial_epoch)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/train/model.py", line 113, in wrapper
func(self, *args, **kwargs)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/train/model.py", line 623, in _train
cb_params, sink_size, initial_epoch, valid_infos)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/train/model.py", line 707, in _train_dataset_sink_process
outputs = train_network(*inputs)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/nn/cell.py", line 670, in __call__
out = self.compile_and_run(*args, **kwargs)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/nn/cell.py", line 1013, in compile_and_run
return _cell_graph_executor(self, *new_args, phase=self.phase)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/common/api.py", line 1560, in __call__
return self.run(obj, *args, phase=phase)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/common/api.py", line 1599, in run
return self._exec_pip(obj, *args, phase=phase_real)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/common/api.py", line 115, in wrapper
results = fn(*arg, **kwargs)
File "/home/miniconda3/envs/ci/lib/python3.7/site-packages/mindspore/common/api.py", line 1579, in _exec_pip
return self._graph_executor(args, phase)
ValueError: For primitive[ApplyMomentum], the gradient_shape must be equal to variable_shape which is [const vector]{1} , but got [const vector]{1, 1, 1, 1}.
----------------------------------------------------
- C++ Call Stack: (For framework developers)
----------------------------------------------------
mindspore/core/utils/check_convert_utils.h:192 CheckValue
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影响用例失败较多：修改为严重问题
原因：tile算子infershape写的过于泛化导致后续，反向产生中 dout的shape不等于out的shape导致反向推导错误。
解决方法：优化tile算子infershape，动态shape反向产生中增加报警
自我验证PASS
修复已合入请求回归
回归时间：2023.9.27
回归版本：master 0926
回归结果：
回归结论：回过通过
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