mindspore.ops.Meshgrid
- class mindspore.ops.Meshgrid(indexing='xy')[源代码]
从给定的Tensor生成网格矩阵。给定N个一维Tensor,对每个Tensor做扩张操作,返回N个N维的Tensor。
更多参考详见
mindspore.ops.meshgrid()
。- 支持平台:
Ascend
CPU
GPU
样例:
>>> x = Tensor(np.array([1, 2, 3, 4]).astype(np.int32)) >>> y = Tensor(np.array([5, 6, 7]).astype(np.int32)) >>> z = Tensor(np.array([8, 9, 0, 1, 2]).astype(np.int32)) >>> inputs = (x, y, z) >>> meshgrid = ops.Meshgrid(indexing='xy') >>> output = meshgrid(inputs) >>> print(output) (Tensor(shape=[3, 4, 5], dtype=Int32, value= [[[1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4]], [[1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4]], [[1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4]]]), Tensor(shape=[3, 4, 5], dtype=Int32, value= [[[5, 5, 5, 5, 5], [5, 5, 5, 5, 5], [5, 5, 5, 5, 5], [5, 5, 5, 5, 5]], [[6, 6, 6, 6, 6], [6, 6, 6, 6, 6], [6, 6, 6, 6, 6], [6, 6, 6, 6, 6]], [[7, 7, 7, 7, 7], [7, 7, 7, 7, 7], [7, 7, 7, 7, 7], [7, 7, 7, 7, 7]]]), Tensor(shape=[3, 4, 5], dtype=Int32, value= [[[8, 9, 0, 1, 2], [8, 9, 0, 1, 2], [8, 9, 0, 1, 2], [8, 9, 0, 1, 2]], [[8, 9, 0, 1, 2], [8, 9, 0, 1, 2], [8, 9, 0, 1, 2], [8, 9, 0, 1, 2]], [[8, 9, 0, 1, 2], [8, 9, 0, 1, 2], [8, 9, 0, 1, 2], [8, 9, 0, 1, 2]]]))