[GitHub] reminisce commented on issue #8668: Precision error setting NDArray from np.float32 scalar
reminisce commented on issue #8668: Precision error setting NDArray from np.float32 scalar URL: https://github.com/apache/incubator-mxnet/issues/8668#issuecomment-364284305 @larroy Is it reporting the error `AttributeError: module 'mxnet.ndarray._internal' has no attribute '_full'`? It looks like that the package is not installed properly. 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
[GitHub] reminisce commented on issue #8668: Precision error setting NDArray from np.float32 scalar
reminisce commented on issue #8668: Precision error setting NDArray from np.float32 scalar URL: https://github.com/apache/incubator-mxnet/issues/8668#issuecomment-363517251 @larroy Seems mxnet is not properly installed on the device. Could you verify? Thanks. 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
[GitHub] reminisce commented on issue #8668: Precision error setting NDArray from np.float32 scalar
reminisce commented on issue #8668: Precision error setting NDArray from np.float32 scalar URL: https://github.com/apache/incubator-mxnet/issues/8668#issuecomment-346197743 When assigning a scalar value to an NDArray, the scalar is passed to the backend as a parameter, rather than an `NDArray`. This leads to converting the scalar to a python string and converting the python string to a `ctypes.c_char_p` in the frontend. After tracing the code, it's found that the scalar's last two digits were truncated when it reaches here: https://github.com/apache/incubator-mxnet/blob/master/src/c_api/c_api_ndarray.cc#L140 while it was still good in the frontend before reaching here: https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/_ctypes/ndarray.py#L83 So it looks like a bug in `ctypes` converting floats to strings. @cjolivier01 is looking into this for more details. 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
