mindspore.ops.ScalarSummary

class mindspore.ops.ScalarSummary[source]

This operator will put a scalar to a summary file with protocol buffer format. It must be used with mindspore.SummaryRecord or mindspore.SummaryCollector, which specify the directory of the summary file. The summary file can be loaded and shown by MindInsight, see MindInsight documents for details. In Ascend platform with graph mode, can set environment variables MS_DUMP_SLICE_SIZE and MS_DUMP_WAIT_TIME to solve operator execution failure when calling this operator intensively.

Inputs:

name (str) - The name of the input variable, it must not be an empty string.
value (Tensor) - The value of scalar, and the dim of value must be 0 or 1.

Raises

TypeError – If name is not a str.
TypeError – If value is not a Tensor.
ValueError – If dim of value is greater than 1.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> import mindspore.nn as nn
>>> from mindspore import ops
>>> from mindspore import Tensor, set_context
>>>
>>>
>>> class SummaryDemo(nn.Cell):
...     def __init__(self,):
...         super(SummaryDemo, self).__init__()
...         self.summary = ops.ScalarSummary()
...         self.add = ops.Add()
...
...     def construct(self, x, y):
...         name = "x"
...         self.summary(name, x)
...         x = self.add(x, y)
...         return x
>>> set_context(mode=mindspore.GRAPH_MODE)
>>> summary = SummaryDemo()(Tensor(3), Tensor(4))
>>> print(summary)
7