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author | Dmytro Dzhulgakov <dzhulgakov@fb.com> | 2018-03-05 19:56:24 -0800 |
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committer | Dmytro Dzhulgakov <dzhulgakov@users.noreply.github.com> | 2018-03-06 00:33:11 -0800 |
commit | fe3c22cd243a60bd750995ede784f760eab8a2f7 (patch) | |
tree | 522b2b045c756270293500d29daaf12296050834 /caffe2/operators/jsd_op.cc | |
parent | 08dbd966429b0fad982baa4744b129ed762a83aa (diff) | |
download | pytorch-fe3c22cd243a60bd750995ede784f760eab8a2f7.tar.gz pytorch-fe3c22cd243a60bd750995ede784f760eab8a2f7.tar.bz2 pytorch-fe3c22cd243a60bd750995ede784f760eab8a2f7.zip |
[GanH/Easy]Fix blob dim
as titled
Diffstat (limited to 'caffe2/operators/jsd_op.cc')
-rw-r--r-- | caffe2/operators/jsd_op.cc | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/caffe2/operators/jsd_op.cc b/caffe2/operators/jsd_op.cc index 69d23a31fb..1d7f49e09b 100644 --- a/caffe2/operators/jsd_op.cc +++ b/caffe2/operators/jsd_op.cc @@ -48,7 +48,7 @@ bool BernoulliJSDOp<float, CPUContext>::RunOnDevice() { auto* L = Output(0); // JSD loss output int N = X.size(); CAFFE_ENFORCE_EQ(T.size(), N); - L->Resize(N); + L->ResizeLike(X); auto* x_data = X.data<float>(); auto* t_data = T.data<float>(); auto* l_data = L->mutable_data<float>(); @@ -69,7 +69,7 @@ bool BernoulliJSDGradientOp<float, CPUContext>::RunOnDevice() { auto& T = Input(2); auto* gi = Output(0); int N = X.size(); - gi->Resize(N); + gi->ResizeLike(X); auto* go_data = go.data<float>(); auto* x_data = X.data<float>(); auto* t_data = T.data<float>(); |