MindSpore报错 For ‘MirrorPad‘, paddings must be a Tensor with * 人工智能深度学习机器学习

【MindSpore报错 For ‘MirrorPad‘, paddings must be a Tensor with *】1 报错描述
1.1 系统环境
Hardware Environment(Ascend/GPU/CPU): CPU
Software Environment:
– MindSpore version (source or binary): 1.8.0
– Python version (e.g., Python 3.7.5): 3.7.6
– OS platform and distribution (e.g., Linux Ubuntu 16.04): Ubuntu 4.15.0-74-generic
– GCC/Compiler version (if compiled from source):
1.2 基本信息
1.2.1 脚本
训练脚本是通过构建MirrorPad的单算子网络，使用镜像值填充张量。脚本如下：
01 context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
02 class Net(nn.Cell):
03 def __init__(self):
04 super(Net, self).__init__()
05 self.pad = ops.MirrorPad(mode="REFLECT")
06 def construct(self, x, paddings):
07 return self.pad(x, paddings)
08
09 x = Tensor(np.random.random(size=(2, 3)).astype(np.float32))
10 paddings = Tensor([[1, 1], [2, 2]])
11 pad = Net()
12 output = pad(x, paddings)
13 print(output.shape)
1.2.2 报错
这里报错信息如下：
Traceback (most recent call last):
File "99553.py", line 20, in

output = pad(x, paddings)

File "/root/miniconda3/envs/high_llj/lib/python3.7/site-packages/mindspore/nn/cell.py", line 573, in call

out = self.compile_and_run(*args)

File "/root/miniconda3/envs/high_llj/lib/python3.7/site-packages/mindspore/nn/cell.py", line 956, in compile_and_run

self.compile(*inputs)

File "/root/miniconda3/envs/high_llj/lib/python3.7/site-packages/mindspore/nn/cell.py", line 929, in compile

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

File "/root/miniconda3/envs/high_llj/lib/python3.7/site-packages/mindspore/common/api.py", line 1063, in compile

result = self._graph_executor.compile(obj, args_list, phase, self._use_vm_mode())

File "/root/miniconda3/envs/high_llj/lib/python3.7/site-packages/mindspore/ops/operations/nn_ops.py", line 4189, in infer

raise ValueError(f"For '{self.name}', paddings must be a Tensor with type of int64, "

ValueError: For 'MirrorPad', paddings must be a Tensor with type of int64, but got None.
原因分析
我们看报错信息，在ValueError中，写到ValueError: For 'MirrorPad', paddings must be a Tensor with type of int64, but got None.，意思是paddings必须是一个Tensor[INT64], 但是实际得到的是None，结合脚本第10和12行发现paddings初始化值明明不是None，这是为什么呢。其实这是因为，在mindspore的图模式下，常量输入必须在构图的阶段传入，否则在执行的时候传入就只能得到None。Ps. 在PYNATIVE_MODE不存在这个问题。
2 解决方法
基于上面已知的原因，可以做出两种修改解决此问题。
第一种，在PYNATIVE_MODE下跑脚本： from mindspore import context
context.set_context(mode=context.PYNATIVE_MODE, device_target="CPU")
class Net(nn.Cell):

def __init__(self): super(Net, self).__init__() self.pad = ops.MirrorPad(mode="REFLECT") def construct(self, x, paddings): return self.pad(x, paddings)

x = Tensor(np.random.random(size=(2, 3)).astype(np.float32))
paddings = Tensor([[1, 1], [2, 2]])
pad = Net()
output = pad(x, paddings)
print(output shape: output.shape)
此时执行成功，输出如下：
output shape: (4, 7)
第二种，将paddings在构图的时候当作常量传入： class Net(nn.Cell):

def __init__(self): super(Net, self).__init__() self.pad = ops.MirrorPad(mode="REFLECT") self.paddings = Tensor([[1, 1], [2, 2]])def construct(self, x): return self.pad(x, self.paddings)

x = Tensor(np.random.random(size=(2, 3)).astype(np.float32))
pad = Net()
output = pad(x)
print("output shape: "output.shape)
此时执行成功，输出如下：
output shape: (4, 7)
3 总结
定位报错问题的步骤：
1、找到报错的用户代码行：output = pad(x, paddings);
2、 ValueError: For 'MirrorPad', paddings must be a Tensor with type of int64, but got None;
3、需要重点关注变量定义、初始化的正确性。
4 参考文档
4.1 MirrorPad算子API接口