Add fallback to TensorCPU if there are unsupported types for IDEEP Tensor#9667
Closed
yinghai wants to merge 1 commit intopytorch:masterfrom
Closed
Add fallback to TensorCPU if there are unsupported types for IDEEP Tensor#9667yinghai wants to merge 1 commit intopytorch:masterfrom
yinghai wants to merge 1 commit intopytorch:masterfrom
Conversation
…nsor (pytorch#9667) Summary: Pull Request resolved: pytorch#9667 MKL-DNN doesn't support 64-bit integger (https://github.com/intel/mkl-dnn/blob/cfee61bf81322b1ca315d5ed6cb9a9419618426b/include/mkldnn_types.h#L62-L75). So force converting from `TensorCPU<long>` to `s32` Ideep tensor will cause memory issue. This diff gives an alternative solution, where we just fall through to TensorCPU. The reasoning is that since MKL-DNN doesn't support 64 bit integer tensor, downstream ops have to be in CPUConext. So there is no reason force converting to ideep tensor and back. Differential Revision: D8943544 fbshipit-source-id: 492fa39199d915579a8baf942305f92a231127cd
Contributor
Author
|
Test failures are due to infra error.. |
jramseyer
pushed a commit
to jramseyer/pytorch
that referenced
this pull request
Jul 30, 2018
…nsor (pytorch#9667) Summary: Pull Request resolved: pytorch#9667 MKL-DNN doesn't support 64-bit integger (https://github.com/intel/mkl-dnn/blob/cfee61bf81322b1ca315d5ed6cb9a9419618426b/include/mkldnn_types.h#L62-L75). So force converting from `TensorCPU<long>` to `s32` Ideep tensor will cause memory issue. This diff gives an alternative solution, where we just fall through to TensorCPU. The reasoning is that since MKL-DNN doesn't support 64 bit integer tensor, downstream ops have to be in CPUConext. So there is no reason force converting to ideep tensor and back. Reviewed By: pjh5 Differential Revision: D8943544 fbshipit-source-id: f514903cda27e34b8887271c9df56c8220895116
goodlux
pushed a commit
to goodlux/pytorch
that referenced
this pull request
Aug 15, 2018
…nsor (pytorch#9667) Summary: Pull Request resolved: pytorch#9667 MKL-DNN doesn't support 64-bit integger (https://github.com/intel/mkl-dnn/blob/cfee61bf81322b1ca315d5ed6cb9a9419618426b/include/mkldnn_types.h#L62-L75). So force converting from `TensorCPU<long>` to `s32` Ideep tensor will cause memory issue. This diff gives an alternative solution, where we just fall through to TensorCPU. The reasoning is that since MKL-DNN doesn't support 64 bit integer tensor, downstream ops have to be in CPUConext. So there is no reason force converting to ideep tensor and back. Reviewed By: pjh5 Differential Revision: D8943544 fbshipit-source-id: f514903cda27e34b8887271c9df56c8220895116
This file contains hidden or 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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
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.
Summary: MKL-DNN doesn't support 64-bit integger (https://github.com/intel/mkl-dnn/blob/cfee61bf81322b1ca315d5ed6cb9a9419618426b/include/mkldnn_types.h#L62-L75). So force converting from
TensorCPU<long>tos32Ideep tensor will cause memory issue. This diff gives an alternative solution, where we just fall through to TensorCPU. The reasoning is that since MKL-DNN doesn't support 64 bit integer tensor, downstream ops have to be in CPUConext. So there is no reason force converting to ideep tensor and back.Differential Revision: D8943544