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Implement flatten function#8578

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soumith merged 4 commits into
pytorch:masterfrom
li-roy:flatten
Jun 20, 2018
Merged

Implement flatten function#8578
soumith merged 4 commits into
pytorch:masterfrom
li-roy:flatten

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@li-roy li-roy commented Jun 16, 2018

Closes #7743

@li-roy li-roy requested a review from ssnl June 16, 2018 00:33
goldsborough
goldsborough reviewed Jun 16, 2018
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ssnl
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bddppq commented Jun 16, 2018

@pytorchbot retest this please

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bddppq commented Jun 16, 2018

ignore pr/caffe2-py3.6-clang3.8-rocm1.7.1-ubuntu16.04-test failure in this PR, it's fixed in master

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vadimkantorov commented Jun 16, 2018 •
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Are there defaults for start and end? For cases like:

x.flatten(start = -2) # for shorter version of x.flatten(start = -2, end = -1)
x.flatten(end = 2) # for shorter version of x.flatten(start = 0, end = 2)

For complete defaults, NumPy would return a 1-dim array equivalent to x.view(-1), while tf.contrib.layers.flatten would return a 2-dim array equivalent to x.view(len(x), -1). But maybe it's better to not have complete defaults because of this possible two interpretations (?).

Also a naming style suggestion: start => start_dim or dim_start (same for end), this way semantics is clearer (and aligns with existing dim and multi_dims) but at the expense of more verbosity. (but I understand, it's a question of taste anyway)

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vadimkantorov commented Jun 18, 2018 •
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For fewer edge cases, should it not support start_dim == end_dim and return the original tensor?

Can be useful for cases if dimensions are computed dynamically.

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zasdfgbnm commented Jun 19, 2018

@li-roy Thanks for this PR, I just need this!

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LGTM. But please revert the onnx submodule change.

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LGTM

@soumith soumith merged commit cc6b046 into pytorch:master Jun 20, 2018
petrex pushed a commit to petrex/pytorch that referenced this pull request Jun 20, 2018
Merge remote-tracking branch 'upstream/master' into hipify
3a01d2b 
* upstream/master: (92 commits)
  more formatting (pytorch#8701)
  Fix pytorch#8692 (pytorch#8699)
  Create captured inputs recursively for loop to resolve loop-carried dependencies across nested blocks (pytorch#8345)
  Shard test_nn to reduce runtime for each test target (pytorch#8678)
  Create at::tensor (pytorch#8475)
  Clarify mp note about sharing a tensor's grad field. (pytorch#8688)
  Add owner rule for cpp_extension.py (pytorch#8700)
  fix formatting in :math: in fold docstring (pytorch#8696)
  Some 0-sized dimension support, port catArray away from resizeLegacy. (pytorch#8666)
  Implement flatten function (pytorch#8578)
  Created Tensor::to functions (pytorch#8643)
  Add a warning in gradcheck if inputs precision < float64 (pytorch#8663)
  Fix parsing of floating point defaults in python_arg_parser (pytorch#8681)
  Export ProcessGroupGloo options to Python (pytorch#8664)
  Fix build error in pybind_state_ideep (pytorch#8684)
  Compatibility: write nDimension/_nDimension corresponding to dim()/_dim(). (pytorch#8676)
  Improve win-build.sh for local build (pytorch#8674)
  don't do unnecessary copies for bernoulli_ (pytorch#8682)
  Use parallel if get_num_threads 0 (pytorch#8677)
  Fix serialization for Parameters (pytorch#8633)
  ...
petrex pushed a commit to petrex/pytorch that referenced this pull request Jun 21, 2018
@li-roy
Implement flatten function (pytorch#8578)
e8efbb7 
* Implement flatten function

* address comments

* allow start_dim=end_dim

* undo submodule change
@vishwakftw vishwakftw mentioned this pull request Jul 3, 2018
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laurentdupin pushed a commit to laurentdupin/pytorch that referenced this pull request Apr 24, 2026
@li-roy @soumith
Implement flatten function (pytorch#8578)
04987ca 
* Implement flatten function

* address comments

* allow start_dim=end_dim

* undo submodule change
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@soumith soumith soumith approved these changes

@ssnl ssnl ssnl approved these changes

@apaszke apaszke Awaiting requested review from apaszke

@colesbury colesbury Awaiting requested review from colesbury

@ezyang ezyang Awaiting requested review from ezyang

@gchanan gchanan Awaiting requested review from gchanan

@zdevito zdevito Awaiting requested review from zdevito

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@li-roy @bddppq @vadimkantorov @zasdfgbnm @soumith @ssnl @goldsborough