mindspore.ops.prod

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mindspore.ops.prod(input, axis=None, keep_dims=False, dtype=None)[source]

Return the product(s) of the tensor along the specified axis(axes).

Parameters

  • input (Tensor[Number]) – The input tensor.

  • axis (Union[int, tuple(int), list(int), Tensor]) – Specify the axis(axes) for computation. If None , compute all elements in the input . Default None .

  • keep_dims (bool) – Whether the output tensor has dim retained. Default False .

  • dtype (mindspore.dtype) – The data type returned. Default None .

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> input = mindspore.tensor([[9, 3, 4, 5],
...                           [5, 2, 7, 4],
...                           [8, 1, 3, 6]])
>>> # case 1: By default, compute the product of all elements.
>>> mindspore.ops.prod(input)
Tensor(shape=[], dtype=Int64, value= 21772800)
>>>
>>> # case 2: Compute the product along axis 1.
>>> mindspore.ops.prod(input, axis=1)
Tensor(shape=[3], dtype=Int64, value= [540, 280, 144])
>>>
>>> # case 3: If keep_dims=True, the output shape will be same of that of the input.
>>> mindspore.ops.prod(input, axis=1, keep_dims=True)
Tensor(shape=[3, 1], dtype=Int64, value=
[[540],
 [280],
 [144]])