
Traceback (most recent call last):


 "generator.py", line 2143, in <module>

qemuBuildWrappers(sys.argv[1])


 "generator.py", line 2008, in qemuBuildWrappers

items.sort(key=lambda i: (int(i[1]), i[0]))


 "generator.py", line 2008, in <lambda>

items.sort(key=lambda i: (int(i[1]), i[0]))

ValueError: invalid literal for int() with base 10: 'VIR_DOMAIN_AGENT_RESPONSE_TIMEOUT_BLOCK'

`Traceback (most recent call last):


 "cifar10_main.py", line 295, in <module>

absl_app.run(main)


 "/home/albert/quant_env/lib/python3.7/site-packages/absl/app.py", line 300, in run

_run_main(main, args)


 "/home/albert/quant_env/lib/python3.7/site-packages/absl/app.py", line 251, in _run_main

sys.exit(main(argv))


 "cifar10_main.py", line 289, in main

run_cifar(flags.FLAGS)


 "cifar10_main.py", line 282, in run_cifar

shape=[HEIGHT, WIDTH, NUM_CHANNELS])


 "/home/albert/models/official/resnet/resnet_run_loop.py", line 691, in resnet_main

max_steps=flags_obj.max_train_steps)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 367, in train

loss = self._train_model(input_fn, hooks, saving_listeners)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1156, in _train_model

return self._train_model_distributed(input_fn, hooks, saving_listeners)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1219, in _train_model_distributed

self._config._train_distribute, input_fn, hooks, saving_listeners)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1299, in _actual_train_model_distributed

self.config))


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/distribute/distribute_lib.py", line 1555, in call_for_each_replica

return self._call_for_each_replica(fn, args, kwargs)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/distribute/one_device_strategy.py", line 163, in _call_for_each_replica

return fn(*args, **kwargs)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1146, in _call_model_fn

model_fn_results = self._model_fn(features=features, **kwargs)


 "cifar10_main.py", line 246, in cifar10_model_fn

fine_tune=params['fine_tune']


 "/home/albert/models/official/resnet/resnet_run_loop.py", line 442, in resnet_model_fn

tf.contrib.quantize.create_training_graph(quant_delay=1000)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/contrib/quantize/python/quantize_graph.py", line 122, in create_training_graph

freeze_bn_delay=freeze_bn_delay)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/contrib/quantize/python/quantize_graph.py", line 73, in _create_graph

is_training=is_training)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/contrib/quantize/python/fold_batch_norms.py", line 53, in FoldBatchNorms

graph, is_training, freeze_batch_norm_delay=freeze_batch_norm_delay)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/contrib/quantize/python/fold_batch_norms.py", line 128, in _FoldFusedBatchNorms

correction_recip, new_layer_tensor, name='post_conv_mul')


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper

return target(*args, **kwargs)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/ops/math_ops.py", line 322, in multiply

return gen_math_ops.mul(x, y, name)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/ops/gen_math_ops.py", line 6490, in mul

"Mul", x=x, y=y, name=name)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper

op_def=op_def)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func

return func(*args, **kwargs)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 3616, in create_op

op_def=op_def)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 2027, in __init__

control_input_ops)


 "/home/albert/quant_env/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 1867, in _create_c_op

raise ValueError(str(e))
ValueError: Dimensions must be equal, but are 16 and 32 for 'resnet_model/conv2d/post_conv_mul' (op: 'Mul') with input shapes: [16], [?,16,32,32].`