(DeepMicrobes) bart@Bart-HP-PAV14:~/DeepMicrobes$ DeepMicrobes.py --input_tfrec=combined_train.tfrec --model_name=seq2species --model_dir=seq2species_new_weights --max_len=100
2020-05-30 17:36:23.820149: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
RUNNING MODE: train
I0530 17:36:23.822940 140213195958080 tf_logging.py:115] Using config: {'_model_dir': 'seq2species_new_weights', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 100000, '_save_checkpoints_secs': None, '_session_config': None, '_keep_checkpoint_max': 1000, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f85cc39f518>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
W0530 17:36:23.823674 140213195958080 tf_logging.py:120] 'cpuinfo' not imported. CPU info will not be logged.
W0530 17:36:23.823904 140213195958080 tf_logging.py:120] 'psutil' not imported. Memory info will not be logged.
I0530 17:36:23.823984 140213195958080 tf_logging.py:115] Benchmark run: {'model_name': 'model', 'dataset': {'name': 'dataset_name'}, 'machine_config': {'gpu_info': {'count': 0}}, 'run_date': '2020-05-30T15:36:23.823391Z', 'tensorflow_version': {'version': '1.9.0', 'git_hash': 'v1.9.0-0-g25c197e023'}, 'tensorflow_environment_variables': [], 'run_parameters': [{'name': 'batch_size', 'long_value': 32}, {'name': 'train_epochs', 'long_value': 1}]}
I0530 17:36:23.885492 140213195958080 tf_logging.py:115] Calling model_fn.
INPUTS BEFORE RESHAPE Tensor("IteratorGetNext:0", shape=(?, ?), dtype=int64, device=/device:CPU:0)
INPUTS Tensor("reshape_input:0", shape=(?, 1, 100, 4), dtype=int64)
filter_dim (5, 1)
SHAPE (?, 1, 100, 4)
FILTERS <tf.Variable 'convolution_1/weights:0' shape=(1, 5, 4, 1) dtype=float32_ref>
Traceback (most recent call last):
File "/home/bart/DeepMicrobes/DeepMicrobes.py", line 368, in <module>
absl_app.run(main)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/absl/app.py", line 278, in run
_run_main(main, args)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/absl/app.py", line 239, in _run_main
sys.exit(main(argv))
File "/home/bart/DeepMicrobes/DeepMicrobes.py", line 360, in main
train(flags.FLAGS, model_fn, 'dataset_name')
File "/home/bart/DeepMicrobes/DeepMicrobes.py", line 214, in train
classifier.train(input_fn=input_fn_train, hooks=train_hooks)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 366, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1119, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1132, in _train_model_default
features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1107, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/home/bart/DeepMicrobes/DeepMicrobes.py", line 101, in model_fn
logits = model(features)
File "/home/bart/DeepMicrobes/models/seq2species.py", line 163, in __call__
x = convolution(x, (spatial_conv_width[0], 1), pointwise_conv_depth[0], weight_init_scale)
File "/home/bart/DeepMicrobes/models/seq2species.py", line 102, in convolution
padding=padding)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/ops/nn_impl.py", line 556, in separable_conv2d
op=op)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 364, in with_space_to_batch
return new_op(input, None)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 520, in __call__
return self.call(inp, filter)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 354, in <lambda>
return lambda inp, _: op(inp, num_spatial_dims, padding)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/ops/nn_impl.py", line 548, in op
name="depthwise")
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 2111, in depthwise_conv2d_native
name=name)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 609, in _apply_op_helper
param_name=input_name)
File "/home/bart/miniconda3/envs/DeepMicrobes/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 60, in _SatisfiesTypeConstraint
", ".join(dtypes.as_dtype(x).name for x in allowed_list)))
TypeError: Value passed to parameter 'input' has DataType int64 not in list of allowed values: float16, bfloat16, float32, float64
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