Traceback (most recent call last):


 "tf_cnn_benchmarks.py", line 46, in <module>

tf.app.run()


 "/usr/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 129, in run

_sys.exit(main(argv))


 "tf_cnn_benchmarks.py", line 36, in main

bench = benchmark_cnn.BenchmarkCNN(params)


 "/cm/shared/scratch/centos/benchmarks/scripts/tf_cnn_benchmarks/benchmark_cnn.py", line 707, in __init__

self.model.get_fp16_loss_scale())
AttributeError: 'ResnetModel' object has no attribute 'get_fp16_loss_scale'

Traceback (most recent call last):


 "test.py", line 97, in <module>

plac.call(main)


 "D:\Anaconda\envs\spacy\lib\site-packages\plac_core.py", line 328, in call

cmd, result = parser.consume(arglist)


 "D:\Anaconda\envs\spacy\lib\site-packages\plac_core.py", line 207, in consume

return cmd, self.func(*(args + varargs + extraopts), **kwargs)


 "test.py", line 70, in main

losses=losses)


 "D:\Anaconda\envs\spacy\lib\site-packages\spacy\language.py", line 452, in update

proc.update(docs, golds, sgd=get_grads, losses=losses, **kwargs)


 "nn_parser.pyx", line 418, in spacy.syntax.nn_parser.Parser.update


 "_parser_model.pyx", line 214, in spacy.syntax._parser_model.ParserModel.begin_update


 "_parser_model.pyx", line 262, in spacy.syntax._parser_model.ParserStepModel.__init__


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\neural\_classes\feed_forward.py", line 46, in begin_update

X, inc_layer_grad = layer.begin_update(X, drop=drop)


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 264, in begin_update

X, bp_layer = layer.begin_update(layer.ops.flatten(seqs_in, pad=pad), drop=drop)


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\neural\_classes\feed_forward.py", line 46, in begin_update

X, inc_layer_grad = layer.begin_update(X, drop=drop)


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 348, in uniqued_fwd

Y_uniq, bp_Y_uniq = layer.begin_update(X_uniq, drop=drop)


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\neural\_classes\feed_forward.py", line 46, in begin_update

X, inc_layer_grad = layer.begin_update(X, drop=drop)


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 132, in begin_update

values = [fwd(X, *a, **k) for fwd in forward]


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 132, in <listcomp>

values = [fwd(X, *a, **k) for fwd in forward]


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 225, in wrap

output = func(*args, **kwargs)


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 132, in begin_update

values = [fwd(X, *a, **k) for fwd in forward]


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 132, in <listcomp>

values = [fwd(X, *a, **k) for fwd in forward]


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 225, in wrap

output = func(*args, **kwargs)


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 132, in begin_update

values = [fwd(X, *a, **k) for fwd in forward]


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 132, in <listcomp>

values = [fwd(X, *a, **k) for fwd in forward]


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\api.py", line 225, in wrap

output = func(*args, **kwargs)


 "D:\Anaconda\envs\spacy\lib\site-packages\thinc\neural\_classes\hash_embed.py", line 55, in begin_update

keys = self.ops.hash(ids, self.seed) % self.nV


 "ops.pyx", line 917, in thinc.neural.ops.CupyOps.hash
AttributeError: module 'thinc_gpu_ops' has no attribute 'hash'
