mindspore.ops.Print
- class mindspore.ops.Print[source]
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()
andmindspore.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]])