Clarify mp note about sharing a tensor's grad field. #8688
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zou3519
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apaszke,
colesbury,
ezyang,
gchanan,
soumith and
zdevito
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soumith
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Jun 20, 2018
| When a :class:`~torch.Tensor` is sent to another process, the | ||
| :attr:`~torch.Tensor` data is shared. If :attr:`torch.Tensor.grad` is | ||
| not ``None``, it is also shared. If :attr:`torch.Tensor.grad` is ``None``, | ||
| it is not shared and each shared copy of the :class:`~torch.Tensor` |
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ezyang
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Jun 20, 2018
| not ``None``, it is also shared. After a :class:`~torch.Tensor` without | ||
| a :attr:`torch.Tensor.grad` field is sent to the other process, it | ||
| creates a standard process-specific ``.grad`` :class:`~torch.Tensor` that | ||
| is not automatically shared across all processes like how the |
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soumith
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Jun 20, 2018
petrex
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Jun 20, 2018
* 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
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Jun 21, 2018
* Clarify mp note about sharing a tensor's grad field. * Address comments * Address comments
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Before, the note makes it sound like if
tensoris shared, thentensor.gradwill also be shared. This is not the case iftensor.gradis None.