MindSpore:【resnet_thor模型】尝试运行resnet_thor时报Could not convert to

问题描述：

【功能模块】

用mindspore-ascend-1.1.1 运行resnet_thor（仓库地址：https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/resnet_thor）时报错。

【操作步骤&问题现象】

1、解压imagenet2012数据集

2、注释掉src/dataset_helper.py中的160-162行（否则这里会抛出异常）

3、cd resnet_thor && python train.py --dataset_path=/home/ImageNet2012_origin

报错信息：
WARNING: 'ControlDepend' is deprecated from version 1.1 and will be removed in a future version, use 'Depend' instead.
[ERROR] CORE(167346,python):2021-03-31-17:06:03.564.646 [mindspore/core/utils/status.cc:43] Status] Thread ID 281470327271920 Unexpected error. Could not convert to CV Tensor
Line of code : 142
File : /home/jenkins/agent-working-dir/workspace/Compile_Ascend_ARM_Ubuntu/mindspore/mindspore/ccsrc/minddata/dataset/kernels/image/image_utils.cc

Traceback (most recent call last):
File "train.py", line 143, in
model.train(config.epoch_size, dataset, callbacks=cb)
File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/train/model.py", line 592, in train
sink_size=sink_size)
File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/train/model.py", line 391, in _train
self._train_dataset_sink_process(epoch, train_dataset, list_callback, cb_params, sink_size)
File "/home/resnet_thor/src/model_thor.py", line 183, in _train_dataset_sink_process
iter_first_order=iter_first_order)
File "/home/resnet_thor/src/model_thor.py", line 122, in _exec_preprocess
dataset_helper = DatasetHelper(dataset, dataset_sink_mode, sink_size, epoch_num, iter_first_order)
File "/home/resnet_thor/src/dataset_helper.py", line 72, in init
self.iter = iterclass(dataset, sink_size, epoch_num, iter_first_order)
File "/home/resnet_thor/src/dataset_helper.py", line 156, in init
super().init(dataset, sink_size, epoch_num)
File "/home/resnet_thor/src/dataset_helper.py", line 106, in init
dataset.transfer_dataset = _exec_datagraph(dataset, self.sink_size)
File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/train/_utils.py", line 62, in _exec_datagraph
dataset_types, dataset_shapes = _get_types_and_shapes(exec_dataset)
File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/train/_utils.py", line 51, in _get_types_and_shapes
dataset_types = _convert_type(dataset.output_types())
File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/dataset/engine/datasets.py", line 1443, in output_types
self.saved_output_shapes = runtime_getter[0].GetOutputShapes()
RuntimeError: Thread ID 281470327271920 Unexpected error. Could not convert to CV Tensor
Line of code : 142
File : /home/jenkins/agent-working-dir/workspace/Compile_Ascend_ARM_Ubuntu/mindspore/mindspore/ccsrc/minddata/dataset/kernels/image/image_utils.cc

报错截图：

解决方案：

看报错应该是数据集使用方式不对，应该是数据集路径没有使用到训练那级的路径，排查下数据集，可以试下

python train.py --dataset_path=/home/ImageNet2012_origin/train

参考了@zhaoting_731 做了修改后，原来的问题解决了，但是遇到了新的报错

看起来似乎和hccl 多卡训练有关系，但我运行的命令是：

python train.py --dataset_path=/home/ImageNet2012_origin/ilsvrc

所以run_distribute是默认的False，走的应该是单卡训练

错误信息：

WARNING: 'ControlDepend' is deprecated from version 1.1 and will be removed in a future version, use 'Depend' instead.

WARNING: 'ControlDepend' is deprecated from version 1.1 and will be removed in a future version, use 'Depend' instead.

[ERROR] HCCL_ADPT(78728,python):2021-04-06-20:10:05.673.721 [mindspore/ccsrc/runtime/hccl_adapter/hccl_adapter.cc:124] GenTask] : The pointer[ops_kernel_builder] is null.

Traceback (most recent call last):

  File "train.py", line 143, in <module>

    model.train(config.epoch_size, dataset, callbacks=cb)

  File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/train/model.py", line 592, in train

    sink_size=sink_size)

  File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/train/model.py", line 391, in _train

    self._train_dataset_sink_process(epoch, train_dataset, list_callback, cb_params, sink_size)

  File "/home/thor/mindspore/model_zoo/official/cv/resnet_thor/src/model_thor.py", line 254, in _train_dataset_sink_process

    outputs = self._train_network(*inputs)

  File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/nn/cell.py", line 322, in __call__

    out = self.compile_and_run(*inputs)

  File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/nn/cell.py", line 578, in compile_and_run

    self.compile(*inputs)

  File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/nn/cell.py", line 565, in compile

    _executor.compile(self, *inputs, phase=self.phase, auto_parallel_mode=self._auto_parallel_mode)

  File "/usr/local/python3.7.5/lib/python3.7/site-packages/mindspore/common/api.py", line 505, in compile

    result = self._executor.compile(obj, args_list, phase, use_vm)

RuntimeError: mindspore/ccsrc/runtime/hccl_adapter/hccl_adapter.cc:124 GenTask] : The pointer[ops_kernel_builder] is null.

 

model zoo中的这个示例主要是针对多卡场景的，目前我们已经将resnet及resnet_thor脚本合并为resnet，如果想要运行单卡训练的话，推荐使用resnet目录下的代码，将src/config.py中的优化器改为Thor，然后按照README 执行训练。如：

python train.py --net=resnet50 --dataset=imagenet2012 --device_target=Ascend --dataset_path=[DATASET_PATH]