apeforest commented on a change in pull request #16570: Showing proper error
message when an attempt is made to create large tensor but MXNet is not built
with it
URL: https://github.com/apache/incubator-mxnet/pull/16570#discussion_r339542098
##########
File path: python/mxnet/ndarray/ndarray.py
##########
@@ -155,6 +155,15 @@ def _new_alloc_handle(shape, ctx, delay_alloc,
dtype=mx_real_t):
ctypes.c_int(int(_DTYPE_NP_TO_MX[np.dtype(dtype).type])),
ctypes.byref(hdl)))
else:
+ # When shape is larger than unit32 then there is an overflow error at
python end itself.
+ # It needs to be caught here since the call doesn't even reach backend.
+ size = 1
+ for idx in shape:
+ size = size * idx
+ if size > 2**31:
Review comment:
Can we use 2**31 as a constant instead of expression here to save some
runtime?
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