| commit | d89632b52ca7a9aef2eab848453f3eda6c106d4a | [log] [tgz] |
|---|---|---|
| author | Davin Wang <davin.wang@live.com> | Wed Jul 26 11:17:19 2017 -0700 |
| committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | Wed Jul 26 11:23:53 2017 -0700 |
| tree | 51d5d99c04a34b5ecde6e57ba6600c055b206935 | |
| parent | e6d2941ec052f1610e60ed62cab5f8c4d170756a [diff] |
Support (U)INT8, (U)INT16 in data type conversion Summary: Data type conversion between Numpy Array and Caffe2 Tensor currently only support 3 types: FLOAT, DOUBLE and INT32. Support 8bit and 16bit date types will help reduce the model size in some circumstance. I benefit from this to reduce size of a data set from 8GB to 1GB by using INT8. Closes https://github.com/caffe2/caffe2/pull/930 Reviewed By: Yangqing Differential Revision: D5440929 Pulled By: akyrola fbshipit-source-id: 3762da1d845e62a13ba384d1c144328b19dd663b
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