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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/12/31 12:19:01 UTC
[GitHub] wenyangchu opened a new issue #13750: mx.nd.Crop does not support
FP16 and decpreciated but no direct alternative with central crop
wenyangchu opened a new issue #13750: mx.nd.Crop does not support FP16 and decpreciated but no direct alternative with central crop
URL: https://github.com/apache/incubator-mxnet/issues/13750
Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the checklist for essential information to most of the technical issues and bug reports. For non-technical issues and feature requests, feel free to present the information in what you believe is the best form.
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## Description
I have been using mx.nd.Crop with "crop_like" behavior in Float32 training. When I switch to train network in 16 bit, it throws errors. This function is depreciated, but I do not find direct alternative. The closest one is mx.nd.slice_like but it does not have central crop option.
## Environment info (Required)
----------Python Info----------
('Version :', '2.7.12')
('Compiler :', 'GCC 5.4.0 20160609')
('Build :', ('default', 'Dec 4 2017 14:50:18'))
('Arch :', ('64bit', 'ELF'))
------------Pip Info-----------
('Version :', '18.1')
('Directory :', '/data/wy/mxnet130/local/lib/python2.7/site-packages/pip')
----------MXNet Info-----------
('Version :', '1.3.1')
('Directory :', '/data/wy/mxnet130/local/lib/python2.7/site-packages/mxnet')
('Commit Hash :', '91c1f821c7816d59d666d21549ac524c863c46b2')
----------System Info----------
('Platform :', 'Linux-4.4.0-139-generic-x86_64-with-Ubuntu-16.04-xenial')
('system :', 'Linux')
('node :', 'ae')
('release :', '4.4.0-139-generic')
('version :', '#165-Ubuntu SMP Wed Oct 24 10:58:50 UTC 2018')
----------Hardware Info----------
('machine :', 'x86_64')
('processor :', 'x86_64')
Package used: Python
## Error Message:
MXNetErrorTraceback (most recent call last)
<ipython-input-66-21a7fd8f35b8> in <module>()
1 data_cut = mx.nd.slice_like(data=data,shape_like=data_ref,axes =(2,3))
----> 2 cropped = mx.nd.Crop(data,data_ref, num_args = 2, center_crop = True, name = 'cropped')
/data/wy/mxnet130/local/lib/python2.7/site-packages/mxnet/ndarray/register.pyc in Crop(*data, **kwargs)
/data/wy/mxnet130/local/lib/python2.7/site-packages/mxnet/_ctypes/ndarray.pyc in _imperative_invoke(handle, ndargs, keys, vals, out)
90 c_str_array(keys),
91 c_str_array([str(s) for s in vals]),
---> 92 ctypes.byref(out_stypes)))
93
94 if original_output is not None:
/data/wy/mxnet130/local/lib/python2.7/site-packages/mxnet/base.pyc in check_call(ret)
250 """
251 if ret != 0:
--> 252 raise MXNetError(py_str(_LIB.MXGetLastError()))
253
254
MXNetError: [12:50:35] include/mxnet/operator.h:228: Check failed: in_type->at(i) == mshadow::default_type_flag || in_type->at(i) == -1 Unsupported data type 2
## Steps to reproduce
(Paste the commands you ran that produced the error.)
import mxnet as mx
data = mx.nd.random.uniform(shape=(1,3,10,10),dtype='float16')
data_ref = mx.nd.ones((1,3,6,6),dtype='float16')
cropped = mx.nd.Crop(data,data_ref, num_args = 2, center_crop = True, name = 'cropped')
## What have you tried to solve it?
1. I tried to use slice_like to replace crop but I found out that central crop function is missing.
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