ROCm not working

[Samuel3k]

Is there any way to get this working with ROCm?
I have both rocm and rocm-tensorflow installed, but when I try to do an image transfer I get this output. Is neural-style-tf not compatible with rocm? Or am I simply doing something wrong?

/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/samuel/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])

---- RENDERING SINGLE IMAGE ----

WARNING: Logging before flag parsing goes to stderr.
W0728 10:34:10.046397 140072776468288 deprecation_wrapper.py:119] From neural_style.py:550: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2019-07-28 10:34:10.046679: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libhip_hcc.so
2019-07-28 10:34:10.088580: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1651] Found device 0 with properties: 
name: Ellesmere [Radeon RX 470/480/570/570X/580/580X]
AMDGPU ISA: gfx803
memoryClockRate (GHz) 1.15
pciBusID 0000:10:00.0
2019-07-28 10:34:10.103296: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library librocblas.so
2019-07-28 10:34:10.103454: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libMIOpen.so'; dlerror: libMIOpen.so: cannot open shared object file: No such file or directory
2019-07-28 10:34:10.104424: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library librocfft.so
2019-07-28 10:34:10.104641: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library librocrand.so
2019-07-28 10:34:10.104649: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices...
2019-07-28 10:34:10.104894: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-07-28 10:34:10.109805: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3693185000 Hz
2019-07-28 10:34:10.110222: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1a0b640 executing computations on platform Host. Devices:
2019-07-28 10:34:10.110237: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): <undefined>, <undefined>
2019-07-28 10:34:10.111732: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4c005c0 executing computations on platform ROCM. Devices:
2019-07-28 10:34:10.111747: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): Ellesmere [Radeon RX 470/480/570/570X/580/580X], AMDGPU ISA version: gfx803
2019-07-28 10:34:10.111997: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-07-28 10:34:10.112005: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      

BUILDING VGG-19 NETWORK
loading model weights...
constructing layers...
LAYER GROUP 1
--conv1_1 | shape=(1, 461, 400, 64) | weights_shape=(3, 3, 3, 64)
--relu1_1 | shape=(1, 461, 400, 64) | bias_shape=(64,)
--conv1_2 | shape=(1, 461, 400, 64) | weights_shape=(3, 3, 64, 64)
--relu1_2 | shape=(1, 461, 400, 64) | bias_shape=(64,)
W0728 10:34:12.987225 140072776468288 deprecation_wrapper.py:119] From neural_style.py:325: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.

--pool1   | shape=(1, 231, 200, 64)
LAYER GROUP 2
--conv2_1 | shape=(1, 231, 200, 128) | weights_shape=(3, 3, 64, 128)
--relu2_1 | shape=(1, 231, 200, 128) | bias_shape=(128,)
--conv2_2 | shape=(1, 231, 200, 128) | weights_shape=(3, 3, 128, 128)
--relu2_2 | shape=(1, 231, 200, 128) | bias_shape=(128,)
--pool2   | shape=(1, 116, 100, 128)
LAYER GROUP 3
--conv3_1 | shape=(1, 116, 100, 256) | weights_shape=(3, 3, 128, 256)
--relu3_1 | shape=(1, 116, 100, 256) | bias_shape=(256,)
--conv3_2 | shape=(1, 116, 100, 256) | weights_shape=(3, 3, 256, 256)
--relu3_2 | shape=(1, 116, 100, 256) | bias_shape=(256,)
--conv3_3 | shape=(1, 116, 100, 256) | weights_shape=(3, 3, 256, 256)
--relu3_3 | shape=(1, 116, 100, 256) | bias_shape=(256,)
--conv3_4 | shape=(1, 116, 100, 256) | weights_shape=(3, 3, 256, 256)
--relu3_4 | shape=(1, 116, 100, 256) | bias_shape=(256,)
--pool3   | shape=(1, 58, 50, 256)
LAYER GROUP 4
--conv4_1 | shape=(1, 58, 50, 512) | weights_shape=(3, 3, 256, 512)
--relu4_1 | shape=(1, 58, 50, 512) | bias_shape=(512,)
--conv4_2 | shape=(1, 58, 50, 512) | weights_shape=(3, 3, 512, 512)
--relu4_2 | shape=(1, 58, 50, 512) | bias_shape=(512,)
--conv4_3 | shape=(1, 58, 50, 512) | weights_shape=(3, 3, 512, 512)
--relu4_3 | shape=(1, 58, 50, 512) | bias_shape=(512,)
--conv4_4 | shape=(1, 58, 50, 512) | weights_shape=(3, 3, 512, 512)
--relu4_4 | shape=(1, 58, 50, 512) | bias_shape=(512,)
--pool4   | shape=(1, 29, 25, 512)
LAYER GROUP 5
--conv5_1 | shape=(1, 29, 25, 512) | weights_shape=(3, 3, 512, 512)
--relu5_1 | shape=(1, 29, 25, 512) | bias_shape=(512,)
--conv5_2 | shape=(1, 29, 25, 512) | weights_shape=(3, 3, 512, 512)
--relu5_2 | shape=(1, 29, 25, 512) | bias_shape=(512,)
--conv5_3 | shape=(1, 29, 25, 512) | weights_shape=(3, 3, 512, 512)
--relu5_3 | shape=(1, 29, 25, 512) | bias_shape=(512,)
--conv5_4 | shape=(1, 29, 25, 512) | weights_shape=(3, 3, 512, 512)
--relu5_4 | shape=(1, 29, 25, 512) | bias_shape=(512,)
--pool5   | shape=(1, 15, 13, 512)
Traceback (most recent call last):
  File "/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1356, in _do_call
    return fn(*args)
  File "/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1339, in _run_fn
    self._extend_graph()
  File "/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1374, in _extend_graph
    tf_session.ExtendSession(self._session)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot assign a device for operation Variable: {{node Variable}}was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:XLA_CPU:0, /job:localhost/replica:0/task:0/device:XLA_GPU:0 ]. Make sure the device specification refers to a valid device. The requested device appears to be a GPU, but CUDA is not enabled.
         [[Variable]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "neural_style.py", line 858, in <module>
    main()
  File "neural_style.py", line 855, in main
    else: render_single_image()
  File "neural_style.py", line 824, in render_single_image
    stylize(content_img, style_imgs, init_img)
  File "neural_style.py", line 558, in stylize
    L_style = sum_style_losses(sess, net, style_imgs)
  File "neural_style.py", line 410, in sum_style_losses
    sess.run(net['input'].assign(img))
  File "/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 950, in run
    run_metadata_ptr)
  File "/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1173, in _run
    feed_dict_tensor, options, run_metadata)
  File "/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1350, in _do_run
    run_metadata)
  File "/home/samuel/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1370, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot assign a device for operation Variable: node Variable (defined at neural_style.py:243) was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:XLA_CPU:0, /job:localhost/replica:0/task:0/device:XLA_GPU:0 ]. Make sure the device specification refers to a valid device. The requested device appears to be a GPU, but CUDA is not enabled.
         [[Variable]]