kprastey opened a new issue, #21125:
URL: https://github.com/apache/incubator-mxnet/issues/21125

   ## Description
   OS = Windows Server 2016 (x64)
   Python system version = 3.7.13 (default, Mar 28 2022, 08:03:21) [MSC v.1916 
64 bit (AMD64)]
   Python platform version = 3.7.13
   PIP version = pip-22.2.2
   CUDA = 11.7
   Cuda compilation tools, release 11.7, V11.7.99
   Build cuda_11.7.r11.7/compiler.31442593_0
   
   
   Tried to use GPU to run inference giving context like:
   `ctx = mx.gpu()`
       `net = gcv.model_zoo.get_model(
           name=*,
           pretrained=False,
           classes=*,
           ctx=ctx
           )`
   But it returned this error.
   ### Error Message
   
   > Traceback (most recent call last):
     File "main.py", line 24, in <module>
       net_object_detector = models.initialize_object_detector()
     File "*\src\models.py", line 43, in initialize_object_detector
       ctx=ctx
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\gluoncv\model_zoo\model_zoo.py", 
line 413, in get_model
       net = _models[name](**kwargs)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\gluoncv\model_zoo\ssd\presets.py",
 line 442, in ssd_512_resnet50_v1_custom
       pretrained_base=pretrained_base, **kwargs)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\gluoncv\model_zoo\ssd\ssd.py", 
line 417, in get_ssd
       minimal_opset=pretrained, anchor_generator=anchor_generator, **kwargs)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\gluoncv\model_zoo\ssd\ssd.py", 
line 150, in __init__
       norm_layer=norm_layer, norm_kwargs=norm_kwargs, root=root)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\gluoncv\nn\feature.py", line 
135, in __init__
       network, outputs, inputs, pretrained, ctx, **kwargs)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\gluoncv\nn\feature.py", line 55, 
in _parse_network
       network = get_model(network, pretrained=pretrained, ctx=ctx, **kwargs)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\gluoncv\model_zoo\model_zoo.py", 
line 413, in get_model
       net = _models[name](**kwargs)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\gluoncv\model_zoo\resnet.py", 
line 635, in resnet50_v1
       return get_resnet(1, 50, use_se=False, **kwargs)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\gluoncv\model_zoo\resnet.py", 
line 560, in get_resnet
       tag=pretrained, root=root), ctx=ctx)
     File "C:\Users\*\Anaconda3\envs\*\lib\site-packages\mxnet\gluon\block.py", 
line 556, in load_parameters
       params[name]._load_init(loaded[name], ctx, cast_dtype=cast_dtype, 
dtype_source=dtype_source)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\mxnet\gluon\parameter.py", line 
316, in _load_init
       self._init_impl(data, ctx)
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\mxnet\gluon\parameter.py", line 
365, in _init_impl
       self._data = [data.copyto(ctx) for ctx in self._ctx_list]
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\mxnet\gluon\parameter.py", line 
365, in <listcomp>
       self._data = [data.copyto(ctx) for ctx in self._ctx_list]
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\mxnet\ndarray\ndarray.py", line 
2666, in copyto
       return _internal._copyto(self, out=hret)
     File "<string>", line 27, in _copyto
     File 
"C:\Users\*\Anaconda3\envs\*\lib\site-packages\mxnet\_ctypes\ndarray.py", line 
91, in _imperative_invoke
       ctypes.byref(out_stypes)))
     File "C:\Users\*\Anaconda3\envs\*\lib\site-packages\mxnet\base.py", line 
246, in check_call
       raise get_last_ffi_error()
   mxnet.base.MXNetError: Traceback (most recent call last):
     File "C:\Jenkins\workspace\mxnet-tag\mxnet\src\ndarray\ndarray.cc", line 
1298
   MXNetError: GPU is not enabled
   
   - So I tried installing mxnet-cu112 using pip but that returned this error:
   `ERROR: Could not find a version that satisfies the requirement mxnet-cu112 
(from versions: none)`
   `ERROR: No matching distribution found for mxnet-cu112`
   
   - So instead I downloaded the 
`mxnet_cu112-1.9.0-py3-none-manylinux2014_x86_64.whl` from 
[https://dist.mxnet.io/python/cu112](https://dist.mxnet.io/python/cu112) and 
tried installing it using pip but that returned this error:
   `ERROR: mxnet_cu112-1.9.0-py3-none-manylinux2014_x86_64.whl is not a 
supported wheel on this platform.` 
   which is strange.
   
   - Help me install with Cuda enabled mxnet so I can use GPU instead of CPU.


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to