您好 我去试了一下 似乎只能存放一个ckpt

您好 经过您的方法，问题确实得到了改善。十分感谢^^

您好 我的是1.8版本的  不过我后来发现mode=bilinear，也就是4D输入时，CPU平台可以运行。 所以现在我用一个4维输入然后经过这个算子之后，再把最后一个维度删去，最后输出3维，就是不知道这样与3维输入直接经过这个算子输出3维的数值会不会不一样，shape是相同的

Traceback (most recent call last): File "D:mindspore.py", line 10, in output = ops.interpolate(x, None, None, (64,), "align_corners", 'linear') File "D: ext1envlibsite-packagesmindsporeopsunction n_func.py", line 623, in interpolate return resize_linear_inner(x, output_size) File "D: ext1envlibsite-packagesmindsporeopsprimitive.py", line 294, in __call__ return _run_op(self, self.name, args) File "D: ext1envlibsite-packagesmindsporecommonapi.py", line 95, in wrapper results = fn(*arg, **kwargs) File "D: ext1envlibsite-packagesmindsporeopsprimitive.py", line 748, in _run_op output = real_run_op(obj, op_name, args)RuntimeError: Unsupported op [ResizeLinear1D] on CPU, Please confirm whether the device target setting is correct, or refer to 'mindspore.ops' at https://www.mindspore.cn to query the operator support list.----------------------------------------------------- C++ Call Stack: (For framework developers)----------------------------------------------------mindsporeccsrcplugindevicecpuhalhardwarecpu_device_context.cc:258 SetOperatorInfoWARNING: Logging before InitGoogleLogging() is written to STDERR[WARNING] DEVICE(16800,1,?):2022-8-16 19:54:19 [mindspore/ccsrc/plugin/device/cpu/kernel/cpu_kernel.h:154] GetCpuSupportedList] Not register CPU kernel of operator: ResizeLinear1D

您好 我去看了一下文档 然后用mode=linear模式，输入一个3D Tensor进行测试，然后输出报错了 好像显示CPU平台不能使用，但我看文档 这个算子是支持CPU的   请问是什么问题呢？

Traceback (most recent call last):  File "D:\mindspore\2.py", line 12, in     label1 = Tensor.from_numpy(label0)      # 出现问题  File "D:\text1\venv\lib\site-packages\mindspore\common\tensor.py", line 431, in from_numpy    return Tensor(Tensor_.from_numpy(array))RuntimeError: Array should be C contiguous.----------------------------------------------------- C++ Call Stack: (For framework developers)----------------------------------------------------mindspore\ccsrc\pybind_api\ir\tensor_py.cc:247 MakeTensorOfNumpy

使用的是1.8版本的 报错我放下面吧

您好 依据上述修改了一下，输出正确了 感谢

好的感谢 ， 我去研究下

好的 谢谢您 我去学习下