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Added more tests for Large Indices #15960
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apeforest
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apeforest
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src/operator/tensor/indexing_op.h
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| @@ -1208,9 +1208,9 @@ template<int req> | |||
| struct one_hot { | |||
| template<typename DType, typename IType> | |||
| MSHADOW_XINLINE static void Map(int i, DType* out, const IType* indices, | |||
added 3 commits
August 29, 2019 21:47
…ong with new C_Apis supporting 64bit indexing
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tests/nightly/test_large_vector.py
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| @@ -170,6 +170,225 @@ def test_topk(): | |||
| assert val.sum() == (LARGE_X - 1) | |||
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| def test_shape(): | |||
| b = create_vector(size=LARGE_X) | |||
| mx.nd.waitall() | |||
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#15941 review for wait all
…ces in one_hot operator
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* Adding tests to verify support for Large Tensors in additional Ops along with new C_Apis supporting 64bit indexing * removing skipped tests * removing tests not required for vector testing * Adding more tests for Large Indices and adding support for Large Indices in one_hot operator * Re-Trigger build
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* Adding tests to verify support for Large Tensors in additional Ops along with new C_Apis supporting 64bit indexing * removing skipped tests * removing tests not required for vector testing * Adding more tests for Large Indices and adding support for Large Indices in one_hot operator * Re-Trigger build
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* Adding tests to verify support for Large Tensors in additional Ops along with new C_Apis supporting 64bit indexing * removing skipped tests * removing tests not required for vector testing * Adding more tests for Large Indices and adding support for Large Indices in one_hot operator * Re-Trigger build
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* Adding tests to verify support for Large Tensors in additional Ops along with new C_Apis supporting 64bit indexing * removing skipped tests * removing tests not required for vector testing * Adding more tests for Large Indices and adding support for Large Indices in one_hot operator * Re-Trigger build
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Description
Added tests for remainder of Ops that are required to support DGL on MXNet. Changes to support Large Indices in one_hot and slice_axis operators.
Checklist
Essentials
Please feel free to remove inapplicable items for your PR.
Testing
~/incubator-mxnet (new_ops_large_vector) $ MXNET_TEST_COUNT=1 nosetests --logging-level=DEBUG --verbose -s tests/nightly/test_large_vector.py/home/ubuntu/anaconda3/lib/python3.6/site-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from
floattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np .dtype(float).type.from ._conv import register_converters as _register_converters
test_large_vector.test_slice ... ok
test_large_vector.test_ndarray_zeros ... ok
test_large_vector.test_ndarray_ones ... ok
test_large_vector.test_ndarray_random_uniform ... [DEBUG] Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1631832474 to reproduce.
ok
test_large_vector.test_ndarray_random_randint ... [DEBUG] Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1887298151 to reproduce.
ok
test_large_vector.test_ndarray_empty ... ok
test_large_vector.test_elementwise ... ok
test_large_vector.test_reduce ... ok
test_large_vector.test_clip ... ok
test_large_vector.test_argmin ... ok
test_large_vector.test_take ... ok
test_large_vector.test_slice_assign ... ok
test_large_vector.test_expand_dims ... ok
test_large_vector.test_squeeze ... ok
test_large_vector.test_broadcast_div ... ok
test_large_vector.test_Dense ... ok
test_large_vector.test_argsort ... ok
test_large_vector.test_sort ... ok
test_large_vector.test_topk ... ok
test_large_vector.test_shape ... ok
test_large_vector.test_size ... ok
test_large_vector.test_copy ... ok
test_large_vector.test_copy_to ... ok
test_large_vector.test_zeros_like ... ok
test_large_vector.test_ones_like ... ok
test_large_vector.test_concat ... ok
test_large_vector.test_sum ... ok
test_large_vector.test_prod ... ok
test_large_vector.test_min ... ok
test_large_vector.test_max ... ok
test_large_vector.test_argmax ... ok
test_large_vector.test_iadd ... ok
test_large_vector.test_isub ... ok
test_large_vector.test_imul ... ok
test_large_vector.test_idiv ... ok
test_large_vector.test_imod ... ok
test_large_vector.test_eq ... ok
test_large_vector.test_neq ... ok
test_large_vector.test_lt ... ok
test_large_vector.test_lte ... ok
test_large_vector.test_gt ... ok
test_large_vector.test_gte ... ok
test_large_vector.test_slice_like ... ok
test_large_vector.test_slice_axis ... ok
test_large_vector.test_full ... ok
test_large_vector.test_one_hot ... ok
Ran 46 tests in 16078.103s
OK