[incubator-mxnet] branch master updated: [MXNET-473] Fix for dist_sync_kvstore (#11058)

[haibin]

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The following commit(s) were added to refs/heads/master by this push:
     new d528453  [MXNET-473] Fix for dist_sync_kvstore (#11058)
d528453 is described below

commit d52845372ddfa3275d0f589cd32944f3a64f7760
Author: Hao Jin <haoj...@users.noreply.github.com>
AuthorDate: Fri May 25 16:14:41 2018 -0700

    [MXNET-473] Fix for dist_sync_kvstore (#11058)
    
    [MXNET-473] Fix for dist_sync_kvstore and test_operator.test_op_roi_align
---
 src/operator/tensor/elemwise_binary_op-inl.h | 2 +-
 tests/python/unittest/test_operator.py       | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/operator/tensor/elemwise_binary_op-inl.h 
b/src/operator/tensor/elemwise_binary_op-inl.h
index 2cf6481..c74f1f9 100644
--- a/src/operator/tensor/elemwise_binary_op-inl.h
+++ b/src/operator/tensor/elemwise_binary_op-inl.h
@@ -552,7 +552,7 @@ void ElemwiseBinaryOp::DnsRspDnsOp(mshadow::Stream<xpu> *s,
   TBlob rsp_data = rsp.data();
   TBlob rsp_indices = rsp.aux_data(rowsparse::kIdx);
 
-  MSHADOW_SGL_DBL_TYPE_SWITCH(rsp_data.type_flag_, DType, {
+  MSHADOW_TYPE_SWITCH(rsp_data.type_flag_, DType, {
     MSHADOW_IDX_TYPE_SWITCH(rsp_indices.type_flag_, IType, {
       MXNET_ASSIGN_REQ_SWITCH(req, Req, {
         if (reverse && std::is_same<OP, mshadow_op::minus>::value) {
diff --git a/tests/python/unittest/test_operator.py 
b/tests/python/unittest/test_operator.py
index c5bdee1..3f08971 100644
--- a/tests/python/unittest/test_operator.py
+++ b/tests/python/unittest/test_operator.py
@@ -6019,7 +6019,7 @@ def test_context_num_gpus():
         if str(e).find("CUDA") == -1:
             raise e
 
-    
+
 @with_seed()
 def test_op_roi_align():
     # Adapted from 
https://github.com/wkcn/MobulaOP/blob/master/tests/test_roi_align_op.py
@@ -6146,7 +6146,7 @@ def test_op_roi_align():
         real_output, [dx, drois] = roialign_forward_backward(data.asnumpy(), 
rois.asnumpy(), pooled_size, spatial_scale, sampling_ratio, dy.asnumpy())
         assert np.allclose(output.asnumpy(), real_output)
         # It seems that the precision between Cfloat and Pyfloat is different.
-        assert np.allclose(data.grad.asnumpy(), dx, atol = 1e-6), 
np.abs(data.grad.asnumpy() - dx).max()
+        assert np.allclose(data.grad.asnumpy(), dx, atol = 1e-5), 
np.abs(data.grad.asnumpy() - dx).max()
         assert np.allclose(rois.grad.asnumpy(), drois)
 
     # modified from test_roipooling()

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