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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/04/22 10:20:04 UTC
[GitHub] [incubator-mxnet] acphile opened a new issue #18137: [Numpy] different behaviours between numpy and mxnet.numpy
acphile opened a new issue #18137:
URL: https://github.com/apache/incubator-mxnet/issues/18137
### operator between different types
for example
```
import mxnet as mx
mx.npx.set_np()
mx.np.arange(5)
array([0., 1., 2., 3., 4.])
b=mx.np.arange(5)
a=b.astype('int32')
a==b
```
it will raise Error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/ubuntu/incubator-mxnet/python/mxnet/numpy/multiarray.py", line 991, in __eq__
return equal(self, other)
File "/home/ubuntu/incubator-mxnet/python/mxnet/numpy/multiarray.py", line 8451, in equal
return _mx_nd_np.equal(x1, x2, out)
File "/home/ubuntu/incubator-mxnet/python/mxnet/ndarray/numpy/_op.py", line 6622, in equal
return _api_internal.equal(x1, x2, out)
File "/home/ubuntu/incubator-mxnet/python/mxnet/_ffi/_ctypes/function.py", line 115, in __call__
raise get_last_ffi_error()
mxnet.base.MXNetError: MXNetError: Type inconsistent, Provided = float32, inferred type = int32
```
But numpy supports equal operation between different types
### fail to use mxnet.numpy.prod(a.shape)
```
>>> mx.np.prod(a.shape)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<string>", line 31, in prod
AssertionError: Argument a must have NDArray type, but got (5,)
```
while numpy supports that.
### mxnet.numpy.ndarray.diagonal() is not supported
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[GitHub] [incubator-mxnet] yzhliu commented on issue #18137: [Numpy] different behaviours between numpy and mxnet.numpy
Posted by GitBox <gi...@apache.org>.
yzhliu commented on issue #18137:
URL: https://github.com/apache/incubator-mxnet/issues/18137#issuecomment-638504536
As they been well tracked by separate issues, I will close this issue.
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[GitHub] [incubator-mxnet] yzhliu closed issue #18137: [Numpy] different behaviours between numpy and mxnet.numpy
Posted by GitBox <gi...@apache.org>.
yzhliu closed issue #18137:
URL: https://github.com/apache/incubator-mxnet/issues/18137
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[GitHub] [incubator-mxnet] leezu commented on issue #18137: [Numpy] different behaviours between numpy and mxnet.numpy
Posted by GitBox <gi...@apache.org>.
leezu commented on issue #18137:
URL: https://github.com/apache/incubator-mxnet/issues/18137#issuecomment-618111157
I think divergence between numpy and mxnet.numpy should be treated as bug as long as it's not explicitly called out in the documentation?
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[GitHub] [incubator-mxnet] leezu commented on issue #18137: [Numpy] different behaviours between numpy and mxnet.numpy
Posted by GitBox <gi...@apache.org>.
leezu commented on issue #18137:
URL: https://github.com/apache/incubator-mxnet/issues/18137#issuecomment-625935351
@acphile can you help to create a separate issue for each problem, to simplify tracking the individual issues?
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[GitHub] [incubator-mxnet] yzhliu edited a comment on issue #18137: [Numpy] different behaviours between numpy and mxnet.numpy
Posted by GitBox <gi...@apache.org>.
yzhliu edited a comment on issue #18137:
URL: https://github.com/apache/incubator-mxnet/issues/18137#issuecomment-638504536
As they have been well tracked by separate issues, I will close this issue.
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[GitHub] [incubator-mxnet] yzhliu edited a comment on issue #18137: [Numpy] different behaviours between numpy and mxnet.numpy
Posted by GitBox <gi...@apache.org>.
yzhliu edited a comment on issue #18137:
URL: https://github.com/apache/incubator-mxnet/issues/18137#issuecomment-638504536
As they have been well tracked by separate issues, I will close this one.
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