eric-haibin-lin closed pull request #10813: Fix context handling when creating sparse arrays from definition URL: https://github.com/apache/incubator-mxnet/pull/10813
This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign pull request (from a fork), the diff is supplied below (as it won't show otherwise due to GitHub magic): diff --git a/python/mxnet/ndarray/sparse.py b/python/mxnet/ndarray/sparse.py index c7355c2e46d..c45de54c1ff 100644 --- a/python/mxnet/ndarray/sparse.py +++ b/python/mxnet/ndarray/sparse.py @@ -992,10 +992,16 @@ def _csr_matrix_from_definition(data, indices, indptr, shape=None, ctx=None, # to accept np.ndarray types to copy from to result.data and aux_data if not isinstance(data, NDArray): data = _array(data, ctx, dtype) + else: + data = data.as_in_context(ctx) if not isinstance(indptr, NDArray): indptr = _array(indptr, ctx, indptr_type) + else: + indptr = indptr.as_in_context(ctx) if not isinstance(indices, NDArray): indices = _array(indices, ctx, indices_type) + else: + indices = indices.as_in_context(ctx) if shape is None: if indices.shape[0] == 0: raise ValueError('invalid shape') @@ -1153,8 +1159,12 @@ def _row_sparse_ndarray_from_definition(data, indices, shape=None, ctx=None, # to accept np.ndarray types to copy from to result.data and aux_data if not isinstance(data, NDArray): data = _array(data, ctx, dtype) + else: + data = data.as_in_context(ctx) if not isinstance(indices, NDArray): indices = _array(indices, ctx, indices_type) + else: + indices = indices.as_in_context(ctx) if shape is None: num_indices = indices.shape[0] if num_indices == 0: ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services