frozenleaves/pytorch
1
0
Fork 0
mirror of https://github.com/pytorch/pytorch.git synced 2025-11-03 23:45:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

Deprecate tensor.type() (#30281)

Browse Source 
Summary:
Fixes https://github.com/pytorch/pytorch/issues/29161.

I looked a bit at the code changes related to this and think I have all of the use cases of `DeprecatedTypeProperties` covered in the message, but suggestions from someone with more context on this would be very much appreciated :)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30281

Differential Revision: D18830818

Pulled By: ezyang

fbshipit-source-id: 1a7fcee15354ae09e6644577e7fa33bd26acfe20
This commit is contained in:
Nathan Goldbaum
2019-12-05 10:53:32 -08:00
committed by Facebook Github Bot
parent 2171f91053
commit f531815526
53 changed files with 254 additions and 209 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
test/cpp/jit/test_argument_spec.cpp
View File

@ -6,7 +6,7 @@ namespace torch {
namespace jit {
int device(const autograd::Variable& v) {
return v.type().is_cuda() ? v.get_device() : -1;
return v.device().is_cuda() ? v.get_device() : -1;
}
bool isEqual(at::IntArrayRef lhs, at::IntArrayRef rhs) {
@ -29,18 +29,18 @@ bool isEqual(const ArgumentInfo& ti, const autograd::Variable& v) {
ti.type() == v.scalar_type() && ti.dim() == v.dim();
}
autograd::Variable var(at::DeprecatedTypeProperties& t, at::IntArrayRef sizes, bool requires_grad) {
return autograd::make_variable(at::rand(sizes, t.options()), requires_grad);
autograd::Variable var(at::TensorOptions t, at::IntArrayRef sizes, bool requires_grad) {
return autograd::make_variable(at::rand(sizes, t), requires_grad);
}
autograd::Variable undef() {
return autograd::Variable();
}
void testCompleteArgumentSpec() {
auto& CF = at::CPU(at::kFloat);
auto& CD = at::CPU(at::kDouble);
auto& GF = at::CUDA(at::kFloat);
auto& GD = at::CUDA(at::kDouble);
auto const CF = at::CPU(at::kFloat);
auto const CD = at::CPU(at::kDouble);
auto const GF = at::CUDA(at::kFloat);
auto const GD = at::CUDA(at::kDouble);
auto list = createStack({var(CF, {1}, true),
var(CD, {1, 2}, false),