mindspore/docs/api/api_python/ops/mindspore.ops.TensorScatter...

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mindspore.ops.TensorScatterMin
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.. py:class:: mindspore.ops.TensorScatterMin
根据指定的更新值 `updates` 和输入索引 `indices` 计算原值与更新值的较小值并更新原值返回更新后的Tensor。
更多参考详见 :func:`mindspore.ops.tensor_scatter_min`
.. math::
output\left [indices \right ] = \min(input\_x, updates)
输入:
- **input_x** (Tensor) - 输入Tensor。 `input_x` 的维度必须不小于indices.shape[-1]。
- **indices** (Tensor) - 输入Tensor的索引数据类型为int32或int64。其rank必须至少为2。
- **updates** (Tensor) - 指定与 `input_x` 取最小值的Tensor其数据类型与 `input_x` 相同并且shape应等于 :math:`indices.shape[:-1] + input\_x.shape[indices.shape[-1]:]`
输出:
Tensorshape和数据类型与输入 `input_x` 相同。