Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

fix new autodiff api docs #44341

Merged
merged 1 commit into from
Jul 18, 2022
Merged

fix new autodiff api docs #44341

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
26 changes: 15 additions & 11 deletions python/paddle/incubate/autograd/primapi.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -26,14 +26,14 @@ def forward_grad(outputs, inputs, grad_inputs=None):
**ONLY available in the static mode and primitive operators.**

Args:
outputs: The output tensor or tensors
inputs: The input tensor or tensors
grad_inputs: The gradient Tensor or Tensors of inputs which has
the same shape with inputs, Defaults to None, in this case is
equivalent to all ones .
outputs(Tensor|Sequence[Tensor]): The output tensor or tensors.
inputs(Tensor|Sequence[Tensor]): The input tensor or tensors.
grad_inputs(Tensor|Sequence[Tensor]): Optional, the gradient Tensor or
Tensors of inputs which has the same shape with inputs, Defaults to
None, in this case is equivalent to all ones.

Returns:
grad_outputs (Tensor|Sequence[Tensor]): The gradients for outputs.
grad_outputs(Tensor|Sequence[Tensor]): The gradients for outputs.

Examples:

Expand Down Expand Up @@ -99,23 +99,25 @@ def grad(outputs, inputs, grad_outputs=None):
**ONLY available in the static mode and primitive operators**

Args:
outputs (Tensor|Sequence[Tensor]): The output Tensor or Tensors.
inputs (Tensor|Sequence[Tensor]): The input Tensor or Tensors.
grad_outputs (Tensor|Sequence[Tensor]): The gradient Tensor or
outputs(Tensor|Sequence[Tensor]): The output Tensor or Tensors.
inputs(Tensor|Sequence[Tensor]): The input Tensor or Tensors.
grad_outputs(Tensor|Sequence[Tensor]): Optional, the gradient Tensor or
Tensors of outputs which has the same shape with outputs, Defaults
to None, in this case is equivalent to all ones .
to None, in this case is equivalent to all ones.

Returns:
grad_inputs (Tensor|Tensors): The gradients for inputs.
grad_inputs(Tensor|Tensors): The gradients for inputs.

Examples:

.. code-block:: python

import numpy as np
import paddle

paddle.enable_static()
paddle.incubate.autograd.enable_prim()

startup_program = paddle.static.Program()
main_program = paddle.static.Program()
with paddle.static.program_guard(main_program, startup_program):
Expand All @@ -124,11 +126,13 @@ def grad(outputs, inputs, grad_outputs=None):
y = x * x
x_grad = paddle.incubate.autograd.grad(y, x)
paddle.incubate.autograd.prim2orig()

exe = paddle.static.Executor()
exe.run(startup_program)
x_grad = exe.run(main_program, feed={'x': np.array([2.]).astype('float32')}, fetch_list=[x_grad])
print(x_grad)
# [array([4.], dtype=float32)]

paddle.incubate.autograd.disable_prim()
paddle.disable_static()
"""
Expand Down