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@nateanl nateanl commented Jul 12, 2018

Summary: The operator transform dense features to sparse features by bucketizing. Only the feature in indices tensor will be transformed and output.

Differential Revision: D8820351

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Summary:
Pull Request resolved: pytorch#9385

The operator transform dense features to sparse features by bucketizing. Only the feature in indices tensor will be transformed and output.

Differential Revision: D8820351

fbshipit-source-id: 7b23187713a2d370df5c1f9e4990c480c29b8969
@bddppq bddppq self-requested a review July 13, 2018 20:31
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LGTM

petrex pushed a commit to petrex/pytorch that referenced this pull request Jul 16, 2018
* upstream/master: (24 commits)
  Implement tensor weak references (pytorch#9363)
  Nuke TestCollectEnv (pytorch#9459)
  Add test case for segmentation fault fix in grad_fn (pytorch#9457)
  Add peephole optimization for type_as operators. (pytorch#9316)
  Fix out-of-range error for test_neg (pytorch#9431)
  add depthwise conv support for mkldnn (pytorch#8782)
  Refactor `_log_sum_exp` (pytorch#9173)
  Add ModuleDict and ParameterDict containers (pytorch#8463)
  Introduce SupervisedPtr, delete THAllocator and THCDeviceAllocator (pytorch#9358)
  Introducing IsInf (pytorch#9169)
  add device to CUDAEvent (pytorch#9415)
  Make localScalar error message more intuitive (pytorch#9443)
  Only accept continguous tensors in TopK for cuda (pytorch#9441)
  Add support for .norm() pytorch onnx export and ReduceL1/ReduceL2 caffe2 operators (pytorch#9299)
  Only view() rhs of index_put if we need to (pytorch#9424)
  Add BatchBucketizeOp in caffe2 (pytorch#9385)
  Implementation of Wngrad optimizer caffe2 python wrapper and unit test on least square regression (pytorch#9001)
  Implementation and operator test for Wngrad optimizer (pytorch#8999)
  Fix segmentation fault in grad_fn (pytorch#9292)
  update docs (pytorch#9423)
  ...
goldsborough pushed a commit to goldsborough/pytorch that referenced this pull request Jul 20, 2018
Summary:
Pull Request resolved: pytorch#9385

The operator transform dense features to sparse features by bucketizing. Only the feature in indices tensor will be transformed and output.

Reviewed By: bddppq

Differential Revision: D8820351

fbshipit-source-id: a66cae546b870c6b2982ac20641f198334f2e853
jramseyer pushed a commit to jramseyer/pytorch that referenced this pull request Jul 30, 2018
Summary:
Pull Request resolved: pytorch#9385

The operator transform dense features to sparse features by bucketizing. Only the feature in indices tensor will be transformed and output.

Reviewed By: bddppq

Differential Revision: D8820351

fbshipit-source-id: a66cae546b870c6b2982ac20641f198334f2e853
goodlux pushed a commit to goodlux/pytorch that referenced this pull request Aug 15, 2018
Summary:
Pull Request resolved: pytorch#9385

The operator transform dense features to sparse features by bucketizing. Only the feature in indices tensor will be transformed and output.

Reviewed By: bddppq

Differential Revision: D8820351

fbshipit-source-id: a66cae546b870c6b2982ac20641f198334f2e853
@ezyang ezyang added the merged label Jun 26, 2019
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4 participants