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Use THPVariable_Unpack in python_nccl (#56016)

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Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56016

Missed these because I don't build on CUDA

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Test Plan: Imported from OSS

Reviewed By: bdhirsh

Differential Revision: D27765124

Pulled By: ezyang

fbshipit-source-id: aa202f594659d53c903b88c9d4a4cbb0e1c0b40a
This commit is contained in:
Edward Yang
2021-04-15 08:48:00 -07:00
committed by Facebook GitHub Bot
parent 6ec71ed4f9
commit 6c65ce8ee1
1 changed files with 2 additions and 3 deletions
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5
torch/csrc/cuda/python_nccl.cpp
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@ -288,7 +288,7 @@ at::Tensor extract_tensor(PyObject* obj) {
if (!THPVariable_Check(obj)) {
throw torch::TypeError("expected Tensor (got %s)", Py_TYPE(obj)->tp_name);
}
return ((THPVariable*)obj)->cdata;
return THPVariable_Unpack(obj);
}
static inline
@ -305,8 +305,7 @@ std::vector<at::Tensor> extract_tensors(PyObject* obj) {
throw torch::TypeError(
"expected Tensor at %d (got %s)", (int)i, Py_TYPE(item)->tp_name);
}
auto var = (THPVariable*)item;
list.emplace_back(var->cdata);
list.emplace_back(THPVariable_Unpack(item));
}
return list;
}