mindspore.ops.Print

class mindspore.ops.Print

Outputs the tensor or string to stdout. The outputs are printed to screen by default. It can also be saved in a file by setting the parameter print_file_path in context. Once set, the output will be saved in the file specified by print_file_path. parse_print can be employed to reload the data. For more information, please refer to mindspore.context.set_context() and mindspore.parse_print().

Note

In pynative mode, please use python print function. In graph mode, the bool, int and float would be converted into Tensor to print, str remains unchanged.

Inputs:

• input_x (Union[Tensor, bool, int, float, str]) - The graph node to attach to. Supports multiple inputs which are separated by ‘,’.

Outputs:

Tensor, has the same data type and shape as original input_x.

Raises

TypeError – If input_x is not one of the following: Tensor, bool, int, float, str.

Supported Platforms:

Ascend GPU

Examples

>>> class PrintDemo(nn.Cell):
...     def __init__(self):
...         super(PrintDemo, self).__init__()
...         self.print = ops.Print()
...
...     def construct(self, x, y):
...         self.print('Print Tensor x and Tensor y:', x, y)
...         return x
...
>>> x = Tensor(np.ones([2, 1]).astype(np.int32))
>>> y = Tensor(np.ones([2, 2]).astype(np.int32))
>>> net = PrintDemo()
>>> result = net(x, y)
Print Tensor x and Tensor y:
Tensor(shape=[2, 1], dtype=Int32, value=
[[1]
 [1]])
Tensor(shape=[2, 2], dtype=Int32, value=
[[1 1]
 [1 1]])