!25769 Fix document for Jvp and Vjp

Merge pull request !25769 from LiangZhibo/code_docs_master
This commit is contained in:
i-robot 2021-11-02 06:50:13 +00:00 committed by Gitee
commit b3c5b96c37
1 changed files with 16 additions and 0 deletions

View File

@ -55,9 +55,13 @@ class Jvp(Cell):
Outputs:
A tuple with 2 Tensors or Tuple of Tensors:
- **net_output** (Tensors or Tuple of Tensors) - The output of `network(inputs)`.
- **jvp** (Tensors or Tuple of Tensors) - The result of the jacobian vector product.
Supported Platforms:
``Ascend`` ``GPU`` ``CPU``
Examples:
>>> from mindspore.nn import Jvp
>>> class Net(nn.Cell):
@ -67,6 +71,10 @@ class Jvp(Cell):
>>> y = Tensor(np.array([[1, 2], [3, 4]]).astype(np.float32))
>>> v = Tensor(np.array([[1, 1], [1, 1]]).astype(np.float32))
>>> output = Jvp(Net())(x, y, (v, v))
>>> print(output[0])
[[2, 10], [20, 68]]
>>> print(output[1])
[[4, 13], [28, 49]]
"""
def __init__(self, fn):
super(Jvp, self).__init__()
@ -119,9 +127,13 @@ class Vjp(Cell):
Outputs:
A tuple with 2 Tensors or Tuple of Tensors:
- **net_output** (Tensors or Tuple of Tensors) - The output of `network(inputs)`.
- **vjp** (Tensors or Tuple of Tensors) - The result of the dot product.
Supported Platforms:
``Ascend`` ``GPU`` ``CPU``
Examples:
>>> from mindspore.nn import Vjp
>>> class Net(nn.Cell):
@ -131,6 +143,10 @@ class Vjp(Cell):
>>> y = Tensor(np.array([[1, 2], [3, 4]]).astype(np.float32))
>>> v = Tensor(np.array([[1, 1], [1, 1]]).astype(np.float32))
>>> output = Vjp(Net())(x, y, v)
>>> print(output[0])
[[2, 10], [20, 68]]
>>> print(output[1])
([[3, 12], [27, 48]], [[1, 1], [1, 1]])
"""
def __init__(self, fn):