【Deepmd Support】add IsInitialized and tanh double grad #32188
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Thanks for your contribution! |
JiabinYang
changed the title
chenwhql
reviewed
Apr 14, 2021
| @@ -113,6 +113,9 @@ class PD_DLL_DECL Tensor { | |||
| /// \brief Cast datatype from one to another | |||
| Tensor cast(const DataType& target_type) const; | |||
|
|
|||
| /// \brief Check Tensor is initialized | |||
| bool IsInitialized() const; | |||
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
PR types
New features
PR changes
OPs
Describe
This PR add IsInitialized API into paddle::Tensor to support user check whether their input tensor is ready to support deepmd custom op in PR https://github.com/deepmodeling/deepmd-kit/pull/499
And Add tanhDoubleGrad kernel to support SEA net work of deepmd
https://github.com/deepmodeling/deepmd-kit/blob/api/examples/water/train/water_se_a.json