Hi,
I’m using rasa v1.10.3 on python-3.7.7 on macos.
I’m getting the following error while sending a message to the NLU running a spanish model.
2020-06-19 06:06:45 DEBUG rasa.core.utils - Available web server routes:
/conversations/<conversation_id>/messages POST add_message
/conversations/<conversation_id>/tracker/events POST append_events
/webhooks/rasa GET custom_webhook_RasaChatInput.health
/webhooks/rasa/webhook POST custom_webhook_RasaChatInput.receive
/webhooks/rest GET custom_webhook_RestInput.health
/webhooks/rest/webhook POST custom_webhook_RestInput.receive
/model/test/intents POST evaluate_intents
/model/test/stories POST evaluate_stories
/conversations/<conversation_id>/execute POST execute_action
/domain GET get_domain
/ GET hello
/model PUT load_model
/model/parse POST parse
/conversations/<conversation_id>/predict POST predict
/conversations/<conversation_id>/tracker/events PUT replace_events
/conversations/<conversation_id>/story GET retrieve_story
/conversations/<conversation_id>/tracker GET retrieve_tracker
/status GET status
/model/predict POST tracker_predict
/model/train POST train
/conversations/<conversation_id>/trigger_intent POST trigger_intent
/model DELETE unload_model
/version GET version
2020-06-19 06:06:45 INFO root - Starting Rasa server on http://localhost:5005
2020-06-19 06:06:45 DEBUG rasa.core.utils - Using the default number of Sanic workers (1).
2020-06-19 06:06:45 INFO root - Enabling coroutine debugging. Loop id 94612706064640.
2020-06-19 06:06:45 DEBUG rasa.model - Extracted model to '/tmp/tmpac8_ydhz'.
/usr/local/lib/python3.7/site-packages/thinc/neural/_custom_kernels.py:36: ResourceWarning: unclosed file <_io.TextIOWrapper name='/usr/local/lib/python3.7/site-packages/thinc/neural/_custom_kernels.cu' mode='r' encoding='utf8'>
SRC = (PWD / "_custom_kernels.cu").open("r", encoding="utf8").read()
ResourceWarning: Enable tracemalloc to get the object allocation traceback
/usr/local/lib/python3.7/site-packages/thinc/neural/_custom_kernels.py:39: ResourceWarning: unclosed file <_io.TextIOWrapper name='/usr/local/lib/python3.7/site-packages/thinc/neural/_murmur3.cu' mode='r' encoding='utf8'>
MMH_SRC = (PWD / "_murmur3.cu").open("r", encoding="utf8").read()
ResourceWarning: Enable tracemalloc to get the object allocation traceback
2020-06-19 06:06:54 INFO rasa.nlu.components - Added 'SpacyNLP' to component cache. Key 'SpacyNLP-es'.
2020-06-19 06:06:54 DEBUG rasa.utils.tensorflow.models - Loading the model ...
2020-06-19 06:06:54.516479: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303)
2020-06-19 06:06:55 DEBUG rasa.utils.tensorflow.models - Finished loading the model.
2020-06-19 06:06:55 DEBUG rasa.utils.tensorflow.models - Building tensorflow prediction graph...
2020-06-19 06:06:56 DEBUG rasa.utils.tensorflow.models - Finished building tensorflow prediction graph.
2020-06-19 06:06:56 DEBUG rasa.core.tracker_store - Connected to InMemoryTrackerStore.
2020-06-19 06:06:56 DEBUG rasa.core.lock_store - Connected to lock store 'InMemoryLockStore'.
2020-06-19 06:06:56 DEBUG rasa.model - Extracted model to '/tmp/tmpra_1vw22'.
2020-06-19 06:06:56 DEBUG pykwalify.compat - Using yaml library: /usr/local/lib/python3.7/site-packages/ruamel/yaml/__init__.py
2020-06-19 06:06:56 DEBUG rasa.utils.tensorflow.models - Loading the model ...
2020-06-19 06:06:56 DEBUG rasa.utils.tensorflow.models - Finished loading the model.
2020-06-19 06:06:56 DEBUG rasa.utils.tensorflow.models - Building tensorflow prediction graph...
2020-06-19 06:06:57 DEBUG rasa.utils.tensorflow.models - Finished building tensorflow prediction graph.
2020-06-19 06:06:57 DEBUG rasa.core.nlg.generator - Instantiated NLG to 'TemplatedNaturalLanguageGenerator'.
2020-06-19 06:07:22 DEBUG rasa.server - Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/rasa/server.py", line 993, in parse
data.get("text")
File "/usr/local/lib/python3.7/site-packages/rasa/core/agent.py", line 455, in parse_message_using_nlu_interpreter
return await processor._parse_message(message, tracker)
File "/usr/local/lib/python3.7/site-packages/rasa/core/processor.py", line 465, in _parse_message
message.text, message.message_id, tracker
File "/usr/local/lib/python3.7/site-packages/rasa/core/interpreter.py", line 290, in parse
result = self.interpreter.parse(text)
File "/usr/local/lib/python3.7/site-packages/rasa/nlu/model.py", line 376, in parse
component.process(message, **self.context)
File "/usr/local/lib/python3.7/site-packages/rasa/nlu/classifiers/diet_classifier.py", line 831, in process
out = self._predict(message)
File "/usr/local/lib/python3.7/site-packages/rasa/nlu/classifiers/diet_classifier.py", line 739, in _predict
return self.model.predict(model_data)
File "/usr/local/lib/python3.7/site-packages/rasa/utils/tensorflow/models.py", line 239, in predict
return self._predict_function(batch_in)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 568, in __call__
result = self._call(*args, **kwds)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 606, in _call
results = self._stateful_fn(*args, **kwds)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2362, in __call__
graph_function, args, kwargs = self._maybe_define_function(args, kwargs)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2661, in _maybe_define_function
*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2185, in canonicalize_function_inputs
self._flat_input_signature)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2252, in _convert_inputs_to_signature
format_error_message(inputs, input_signature))
ValueError: Python inputs incompatible with input_signature:
inputs: (
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dtype=float32), array([2.], dtype=float32)))
input_signature: (
(TensorSpec(shape=(None, 3), dtype=tf.int64, name=None), TensorSpec(shape=(None,), dtype=tf.float32, name=None), TensorSpec(shape=(3,), dtype=tf.int64, name=None), TensorSpec(shape=(None, None, 50), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.float32, name=None)))
2020-06-19 06:07:22 DEBUG rasa.server - Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/rasa/server.py", line 993, in parse
data.get("text")
File "/usr/local/lib/python3.7/site-packages/rasa/core/agent.py", line 455, in parse_message_using_nlu_interpreter
return await processor._parse_message(message, tracker)
File "/usr/local/lib/python3.7/site-packages/rasa/core/processor.py", line 465, in _parse_message
message.text, message.message_id, tracker
File "/usr/local/lib/python3.7/site-packages/rasa/core/interpreter.py", line 290, in parse
result = self.interpreter.parse(text)
File "/usr/local/lib/python3.7/site-packages/rasa/nlu/model.py", line 376, in parse
component.process(message, **self.context)
File "/usr/local/lib/python3.7/site-packages/rasa/nlu/classifiers/diet_classifier.py", line 831, in process
out = self._predict(message)
File "/usr/local/lib/python3.7/site-packages/rasa/nlu/classifiers/diet_classifier.py", line 739, in _predict
return self.model.predict(model_data)
File "/usr/local/lib/python3.7/site-packages/rasa/utils/tensorflow/models.py", line 239, in predict
return self._predict_function(batch_in)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 568, in __call__
result = self._call(*args, **kwds)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 606, in _call
results = self._stateful_fn(*args, **kwds)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2362, in __call__
graph_function, args, kwargs = self._maybe_define_function(args, kwargs)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2661, in _maybe_define_function
*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2185, in canonicalize_function_inputs
self._flat_input_signature)
File "/usr/local/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2252, in _convert_inputs_to_signature
format_error_message(inputs, input_signature))
ValueError: Python inputs incompatible with input_signature:
inputs: (
(array([[ 0, 0, 5],
[ 0, 0, 7],
[ 0, 0, 8],
[ 0, 0, 11],
[ 0, 0, 12],
[ 0, 0, 13],
[ 0, 1, 5],
[ 0, 1, 7],
[ 0, 1, 8],
[ 0, 1, 11],
[ 0, 1, 12],
[ 0, 1, 13],
[ 0, 0, 277],
[ 0, 0, 407],
[ 0, 0, 1182],
[ 0, 0, 1201],
[ 0, 0, 1202],
[ 0, 0, 1220],
[ 0, 0, 1221],
[ 0, 1, 277],
[ 0, 1, 407],
[ 0, 1, 1182],
[ 0, 1, 1201],
[ 0, 1, 1202],
[ 0, 1, 1220],
[ 0, 1, 1221]]), array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 1.,
1., 1., 2., 1., 1., 1., 1., 1., 1.], dtype=float32), array([ 1, 2, 2231]), array([[[-3.4989e+00, -3.3538e+00, 2.9623e+00, 1.1925e+00,
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3.2623e+00, -4.7255e+00, -1.9690e+00, -3.4657e+00,
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1.1160e+01, -1.9008e+00, -4.7043e+00, 7.0744e-01,
2.7967e+00, 9.1450e-01, 1.3335e+00, 4.4393e+00,
5.8900e+00, 7.4626e+00, 1.3442e+00, 1.5519e+00,
1.0004e+00, -1.5644e+00, 1.6810e+00, 6.7074e-01,
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3.2198e+00, 1.4156e+00, 3.5083e-01, -8.3218e+00,
4.9645e+00, -3.9488e+00, -4.1913e-01, -1.5452e+00,
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7.6104e-01, -1.1759e+00, -1.5359e+00, -1.5130e-01,
9.9602e-01, -5.5630e-01, 4.1232e+00, 2.1846e+00,
1.2975e+00, 4.3848e+00, -1.9836e+00, 9.4855e-03,
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1.0296e-01, 1.0687e-01, 5.0186e-01, -9.8179e+00,
-4.0593e+00, -4.0424e+00, -6.1731e-01, -1.6256e+00,
3.5914e+00, 5.2162e-01, 5.7337e-01, 2.9078e+00,
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-5.9495e+00, -3.1088e+00, -7.1509e-01, -2.4531e-01,
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1.7440e+00, 1.2727e+00, -4.3806e+00, 3.0358e+00,
-1.3623e+00, 4.0187e+00, -6.1998e+00, 3.2495e+00,
-7.0855e-01, -1.9557e+00, 1.5303e+00, 2.7172e-01],
[-3.4989e+00, -3.3538e+00, 2.9623e+00, 1.1925e+00,
-5.2307e-01, 3.3723e+00, -2.1630e+00, 2.7531e+00,
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-1.6218e+00, 4.1535e-02, -1.1200e+00, -5.6988e+00,
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-4.0678e+00, -4.9332e+00, 1.0720e+00, 9.6701e-01,
-5.6016e+00, -3.9138e-01, -6.7418e-01, 1.3182e+00,
-3.7764e-01, 5.1081e-01, 3.3527e+00, -1.9789e+00,
5.3064e+00, -3.8945e+00, -1.9965e+00, 1.2842e+00,
-3.7661e-01, -4.4589e+00, 2.6914e+00, 3.5149e-02,
3.4677e+00, -4.2172e-01, 1.2654e-01, -2.0316e+00,
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8.4192e-01, -3.0173e+00, -2.5774e-01, 1.2115e-01,
1.5239e+00, 8.2232e+00, 3.3408e+00, -2.2231e+00,
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3.8686e+00, -4.4136e+00, 5.4776e+00, 5.1985e-02,
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-5.4865e-01, -8.6138e+00, -1.3976e+00, 8.4466e-01,
-1.5090e+00, 2.0796e+00, 3.5277e+00, -1.7880e+00,
-1.8840e+00, 4.2021e-01, -1.2785e+00, 3.6655e+00,
4.3703e+00, -1.2651e+00, -4.5727e+00, -4.1808e-01,
2.1200e+00, -1.8983e+00, 4.5587e+00, -3.6985e+00,
6.4205e-02, -6.1250e-01, 1.0964e+00, 4.2590e+00,
-5.7935e+00, 7.6873e-01, -4.4197e+00, -4.0917e+00,
-2.4829e+00, 4.1405e+00, -3.6937e+00, -6.1171e+00,
1.7110e+00, -1.6560e+00, 1.9928e+00, 3.2403e+00,
2.4039e+00, 9.3177e-02, -6.7659e-01, -1.0521e+00,
5.2095e-01, 2.5742e+00, 5.3927e-01, -3.5936e+00,
3.2641e+00, 1.1060e+00, -1.6160e+00, 2.0283e+00,
1.6333e+00, -3.8266e+00, 3.6057e+00, 1.8410e-01,
2.7141e+00, 6.4617e+00, -5.9639e+00, 7.2607e-01,
2.6213e+00, 2.1351e-01, 5.9094e+00, -1.1764e+00,
5.2987e+00, -4.7250e+00, -4.4333e+00, -2.8001e+00,
3.7944e+00, -2.0644e+00, -4.4135e+00, -4.5646e-01,
-2.1818e-01, -3.3548e+00, 1.7589e+00, -6.4913e+00,
1.4364e+00, -2.2499e+00, 4.4533e+00, -3.8801e+00,
-2.3169e+00, 9.0019e+00, -5.3133e+00, 8.8259e+00,
-3.1566e+00, 7.3631e-01, -1.5994e+00, 8.2530e+00,
3.2623e+00, -4.7255e+00, -1.9690e+00, -3.4657e+00,
5.6908e-01, 3.9486e+00, 7.5413e-01, 1.6532e+00,
1.1160e+01, -1.9008e+00, -4.7043e+00, 7.0744e-01,
2.7967e+00, 9.1450e-01, 1.3335e+00, 4.4393e+00,
5.8900e+00, 7.4626e+00, 1.3442e+00, 1.5519e+00,
1.0004e+00, -1.5644e+00, 1.6810e+00, 6.7074e-01,
-2.3860e+00, 1.7651e+00, 3.4319e+00, -2.3165e+00,
3.2198e+00, 1.4156e+00, 3.5083e-01, -8.3218e+00,
4.9645e+00, -3.9488e+00, -4.1913e-01, -1.5452e+00,
3.8301e+00, 5.6633e+00, 2.9400e+00, 4.6333e-01,
-7.1745e+00, -4.6864e+00, 2.9703e+00, -1.9256e+00,
7.6104e-01, -1.1759e+00, -1.5359e+00, -1.5130e-01,
9.9602e-01, -5.5630e-01, 4.1232e+00, 2.1846e+00,
1.2975e+00, 4.3848e+00, -1.9836e+00, 9.4855e-03,
-3.8746e+00, -9.0808e-01, -2.1683e+00, 4.7025e+00,
-1.7835e+00, -1.6243e+00, 3.3618e+00, 3.3023e+00,
1.0296e-01, 1.0687e-01, 5.0186e-01, -9.8179e+00,
-4.0593e+00, -4.0424e+00, -6.1731e-01, -1.6256e+00,
3.5914e+00, 5.2162e-01, 5.7337e-01, 2.9078e+00,
-1.1698e+00, -2.9541e+00, -7.6800e-01, 5.0561e+00,
7.3497e+00, 9.2154e-01, 2.8036e+00, -2.2178e+00,
-6.4988e-01, 1.2249e+00, 6.8004e-01, 5.2599e-01,
8.3883e+00, 3.1474e-01, 3.8949e+00, 9.6861e-01,
-5.9495e+00, -3.1088e+00, -7.1509e-01, -2.4531e-01,
-2.5898e+00, 2.3417e+00, 1.1331e+00, -5.4354e+00,
-5.0868e+00, 6.0884e+00, -3.5102e+00, -2.5909e+00,
1.7440e+00, 1.2727e+00, -4.3806e+00, 3.0358e+00,
-1.3623e+00, 4.0187e+00, -6.1998e+00, 3.2495e+00,
-7.0855e-01, -1.9557e+00, 1.5303e+00, 2.7172e-01]]],
dtype=float32), array([2.], dtype=float32)))
input_signature: (
(TensorSpec(shape=(None, 3), dtype=tf.int64, name=None), TensorSpec(shape=(None,), dtype=tf.float32, name=None), TensorSpec(shape=(3,), dtype=tf.int64, name=None), TensorSpec(shape=(None, None, 50), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.float32, name=None)))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/rasa/server.py", line 998, in parse
400, "ParsingError", f"An unexpected error occurred. Error: {e}"
rasa.server.ErrorResponse: (400, 'ParsingError', 'An unexpected error occurred. Error: Python inputs incompatible with input_signature:\n inputs: (\n (array([[ 0, 0, 5],\n [ 0, 0, 7],\n [ 0, 0, 8],\n [ 0, 0, 11],\n [ 0, 0, 12],\n [ 0, 0, 13],\n [ 0, 1, 5],\n [ 0, 1, 7],\n [ 0, 1, 8],\n [ 0, 1, 11],\n [ 0, 1, 12],\n [ 0, 1, 13],\n [ 0, 0, 277],\n [ 0, 0, 407],\n [ 0, 0, 1182],\n [ 0, 0, 1201],\n [ 0, 0, 1202],\n [ 0, 0, 1220],\n [ 0, 0, 1221],\n [ 0, 1, 277],\n [ 0, 1, 407],\n [ 0, 1, 1182],\n [ 0, 1, 1201],\n [ 0, 1, 1202],\n [ 0, 1, 1220],\n [ 0, 1, 1221]]), array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 1.,\n 1., 1., 2., 1., 1., 1., 1., 1., 1.], dtype=float32), array([ 1, 2, 2231]), array([[[-3.4989e+00, -3.3538e+00, 2.9623e+00, 1.1925e+00,\n -5.2307e-01, 3.3723e+00, -2.1630e+00, 2.7531e+00,\n -1.4414e+00, 7.2383e+00, -3.8178e+00, 5.0374e+00,\n 5.8034e-01, 2.0502e+00, -6.9953e+00, -2.9821e+00,\n -1.6218e+00, 4.1535e-02, -1.1200e+00, -5.6988e+00,\n 3.9193e+00, 1.2257e+00, 4.5495e+00, 6.5910e-01,\n -4.0678e+00, -4.9332e+00, 1.0720e+00, 9.6701e-01,\n -5.6016e+00, -3.9138e-01, -6.7418e-01, 1.3182e+00,\n -3.7764e-01, 5.1081e-01, 3.3527e+00, -1.9789e+00,\n 5.3064e+00, -3.8945e+00, -1.9965e+00, 1.2842e+00,\n -3.7661e-01, -4.4589e+00, 2.6914e+00, 3.5149e-02,\n 3.4677e+00, -4.2172e-01, 1.2654e-01, -2.0316e+00,\n -8.3295e-01, -2.1177e+00, -8.3657e-01, 1.8328e+00,\n 2.3615e+00, -2.7980e+00, 7.7465e-01, -2.1460e+00,\n 8.4192e-01, -3.0173e+00, -2.5774e-01, 1.2115e-01,\n 1.5239e+00, 8.2232e+00, 3.3408e+00, -2.2231e+00,\n -4.6521e-02, 8.0622e+00, 1.6399e+00, -1.7643e+00,\n 6.3834e-01, -6.9174e-01, -3.4092e+00, 1.2046e-02,\n -2.7710e+00, 3.7474e+00, 3.7683e+00, -2.4426e+00,\n 3.1178e-01, -4.1922e+00, 2.2370e+00, -2.5191e+00,\n -2.4438e+00, 1.3611e+00, -1.1972e+00, -6.0303e+00,\n -3.0970e+00, -2.6856e-01, 2.6622e+00, -2.0463e+00,\n 3.8686e+00, -4.4136e+00, 5.4776e+00, 5.1985e-02,\n -2.6677e+00, -3.4909e+00, 2.3239e-01, 3.0402e+00,\n -3.1903e+00, 5.0317e+00, 5.5436e-01, -2.5010e+00,\n -5.4865e-01, -8.6138e+00, -1.3976e+00, 8.4466e-01,\n -1.5090e+00, 2.0796e+00, 3.5277e+00, -1.7880e+00,\n -1.8840e+00, 4.2021e-01, -1.2785e+00, 3.6655e+00,\n 4.3703e+00, -1.2651e+00, -4.5727e+00, -4.1808e-01,\n 2.1200e+00, -1.8983e+00, 4.5587e+00, -3.6985e+00,\n 6.4205e-02, -6.1250e-01, 1.0964e+00, 4.2590e+00,\n -5.7935e+00, 7.6873e-01, -4.4197e+00, -4.0917e+00,\n -2.4829e+00, 4.1405e+00, -3.6937e+00, -6.1171e+00,\n 1.7110e+00, -1.6560e+00, 1.9928e+00, 3.2403e+00,\n 2.4039e+00, 9.3177e-02, -6.7659e-01, -1.0521e+00,\n 5.2095e-01, 2.5742e+00, 5.3927e-01, -3.5936e+00,\n 3.2641e+00, 1.1060e+00, -1.6160e+00, 2.0283e+00,\n 1.6333e+00, -3.8266e+00, 3.6057e+00, 1.8410e-01,\n 2.7141e+00, 6.4617e+00, -5.9639e+00, 7.2607e-01,\n 2.6213e+00, 2.1351e-01, 5.9094e+00, -1.1764e+00,\n 5.2987e+00, -4.7250e+00, -4.4333e+00, -2.8001e+00,\n 3.7944e+00, -2.0644e+00, -4.4135e+00, -4.5646e-01,\n -2.1818e-01, -3.3548e+00, 1.7589e+00, -6.4913e+00,\n 1.4364e+00, -2.2499e+00, 4.4533e+00, -3.8801e+00,\n -2.3169e+00, 9.0019e+00, -5.3133e+00, 8.8259e+00,\n -3.1566e+00, 7.3631e-01, -1.5994e+00, 8.2530e+00,\n 3.2623e+00, -4.7255e+00, -1.9690e+00, -3.4657e+00,\n 5.6908e-01, 3.9486e+00, 7.5413e-01, 1.6532e+00,\n 1.1160e+01, -1.9008e+00, -4.7043e+00, 7.0744e-01,\n 2.7967e+00, 9.1450e-01, 1.3335e+00, 4.4393e+00,\n 5.8900e+00, 7.4626e+00, 1.3442e+00, 1.5519e+00,\n 1.0004e+00, -1.5644e+00, 1.6810e+00, 6.7074e-01,\n -2.3860e+00, 1.7651e+00, 3.4319e+00, -2.3165e+00,\n 3.2198e+00, 1.4156e+00, 3.5083e-01, -8.3218e+00,\n 4.9645e+00, -3.9488e+00, -4.1913e-01, -1.5452e+00,\n 3.8301e+00, 5.6633e+00, 2.9400e+00, 4.6333e-01,\n -7.1745e+00, -4.6864e+00, 2.9703e+00, -1.9256e+00,\n 7.6104e-01, -1.1759e+00, -1.5359e+00, -1.5130e-01,\n 9.9602e-01, -5.5630e-01, 4.1232e+00, 2.1846e+00,\n 1.2975e+00, 4.3848e+00, -1.9836e+00, 9.4855e-03,\n -3.8746e+00, -9.0808e-01, -2.1683e+00, 4.7025e+00,\n -1.7835e+00, -1.6243e+00, 3.3618e+00, 3.3023e+00,\n 1.0296e-01, 1.0687e-01, 5.0186e-01, -9.8179e+00,\n -4.0593e+00, -4.0424e+00, -6.1731e-01, -1.6256e+00,\n 3.5914e+00, 5.2162e-01, 5.7337e-01, 2.9078e+00,\n -1.1698e+00, -2.9541e+00, -7.6800e-01, 5.0561e+00,\n 7.3497e+00, 9.2154e-01, 2.8036e+00, -2.2178e+00,\n -6.4988e-01, 1.2249e+00, 6.8004e-01, 5.2599e-01,\n 8.3883e+00, 3.1474e-01, 3.8949e+00, 9.6861e-01,\n -5.9495e+00, -3.1088e+00, -7.1509e-01, -2.4531e-01,\n -2.5898e+00, 2.3417e+00, 1.1331e+00, -5.4354e+00,\n -5.0868e+00, 6.0884e+00, -3.5102e+00, -2.5909e+00,\n 1.7440e+00, 1.2727e+00, -4.3806e+00, 3.0358e+00,\n -1.3623e+00, 4.0187e+00, -6.1998e+00, 3.2495e+00,\n -7.0855e-01, -1.9557e+00, 1.5303e+00, 2.7172e-01],\n [-3.4989e+00, -3.3538e+00, 2.9623e+00, 1.1925e+00,\n -5.2307e-01, 3.3723e+00, -2.1630e+00, 2.7531e+00,\n -1.4414e+00, 7.2383e+00, -3.8178e+00, 5.0374e+00,\n 5.8034e-01, 2.0502e+00, -6.9953e+00, -2.9821e+00,\n -1.6218e+00, 4.1535e-02, -1.1200e+00, -5.6988e+00,\n 3.9193e+00, 1.2257e+00, 4.5495e+00, 6.5910e-01,\n -4.0678e+00, -4.9332e+00, 1.0720e+00, 9.6701e-01,\n -5.6016e+00, -3.9138e-01, -6.7418e-01, 1.3182e+00,\n -3.7764e-01, 5.1081e-01, 3.3527e+00, -1.9789e+00,\n 5.3064e+00, -3.8945e+00, -1.9965e+00, 1.2842e+00,\n -3.7661e-01, -4.4589e+00, 2.6914e+00, 3.5149e-02,\n 3.4677e+00, -4.2172e-01, 1.2654e-01, -2.0316e+00,\n -8.3295e-01, -2.1177e+00, -8.3657e-01, 1.8328e+00,\n 2.3615e+00, -2.7980e+00, 7.7465e-01, -2.1460e+00,\n 8.4192e-01, -3.0173e+00, -2.5774e-01, 1.2115e-01,\n 1.5239e+00, 8.2232e+00, 3.3408e+00, -2.2231e+00,\n -4.6521e-02, 8.0622e+00, 1.6399e+00, -1.7643e+00,\n 6.3834e-01, -6.9174e-01, -3.4092e+00, 1.2046e-02,\n -2.7710e+00, 3.7474e+00, 3.7683e+00, -2.4426e+00,\n 3.1178e-01, -4.1922e+00, 2.2370e+00, -2.5191e+00,\n -2.4438e+00, 1.3611e+00, -1.1972e+00, -6.0303e+00,\n -3.0970e+00, -2.6856e-01, 2.6622e+00, -2.0463e+00,\n 3.8686e+00, -4.4136e+00, 5.4776e+00, 5.1985e-02,\n -2.6677e+00, -3.4909e+00, 2.3239e-01, 3.0402e+00,\n -3.1903e+00, 5.0317e+00, 5.5436e-01, -2.5010e+00,\n -5.4865e-01, -8.6138e+00, -1.3976e+00, 8.4466e-01,\n -1.5090e+00, 2.0796e+00, 3.5277e+00, -1.7880e+00,\n -1.8840e+00, 4.2021e-01, -1.2785e+00, 3.6655e+00,\n 4.3703e+00, -1.2651e+00, -4.5727e+00, -4.1808e-01,\n 2.1200e+00, -1.8983e+00, 4.5587e+00, -3.6985e+00,\n 6.4205e-02, -6.1250e-01, 1.0964e+00, 4.2590e+00,\n -5.7935e+00, 7.6873e-01, -4.4197e+00, -4.0917e+00,\n -2.4829e+00, 4.1405e+00, -3.6937e+00, -6.1171e+00,\n 1.7110e+00, -1.6560e+00, 1.9928e+00, 3.2403e+00,\n 2.4039e+00, 9.3177e-02, -6.7659e-01, -1.0521e+00,\n 5.2095e-01, 2.5742e+00, 5.3927e-01, -3.5936e+00,\n 3.2641e+00, 1.1060e+00, -1.6160e+00, 2.0283e+00,\n 1.6333e+00, -3.8266e+00, 3.6057e+00, 1.8410e-01,\n 2.7141e+00, 6.4617e+00, -5.9639e+00, 7.2607e-01,\n 2.6213e+00, 2.1351e-01, 5.9094e+00, -1.1764e+00,\n 5.2987e+00, -4.7250e+00, -4.4333e+00, -2.8001e+00,\n 3.7944e+00, -2.0644e+00, -4.4135e+00, -4.5646e-01,\n -2.1818e-01, -3.3548e+00, 1.7589e+00, -6.4913e+00,\n 1.4364e+00, -2.2499e+00, 4.4533e+00, -3.8801e+00,\n -2.3169e+00, 9.0019e+00, -5.3133e+00, 8.8259e+00,\n -3.1566e+00, 7.3631e-01, -1.5994e+00, 8.2530e+00,\n 3.2623e+00, -4.7255e+00, -1.9690e+00, -3.4657e+00,\n 5.6908e-01, 3.9486e+00, 7.5413e-01, 1.6532e+00,\n 1.1160e+01, -1.9008e+00, -4.7043e+00, 7.0744e-01,\n 2.7967e+00, 9.1450e-01, 1.3335e+00, 4.4393e+00,\n 5.8900e+00, 7.4626e+00, 1.3442e+00, 1.5519e+00,\n 1.0004e+00, -1.5644e+00, 1.6810e+00, 6.7074e-01,\n -2.3860e+00, 1.7651e+00, 3.4319e+00, -2.3165e+00,\n 3.2198e+00, 1.4156e+00, 3.5083e-01, -8.3218e+00,\n 4.9645e+00, -3.9488e+00, -4.1913e-01, -1.5452e+00,\n 3.8301e+00, 5.6633e+00, 2.9400e+00, 4.6333e-01,\n -7.1745e+00, -4.6864e+00, 2.9703e+00, -1.9256e+00,\n 7.6104e-01, -1.1759e+00, -1.5359e+00, -1.5130e-01,\n 9.9602e-01, -5.5630e-01, 4.1232e+00, 2.1846e+00,\n 1.2975e+00, 4.3848e+00, -1.9836e+00, 9.4855e-03,\n -3.8746e+00, -9.0808e-01, -2.1683e+00, 4.7025e+00,\n -1.7835e+00, -1.6243e+00, 3.3618e+00, 3.3023e+00,\n 1.0296e-01, 1.0687e-01, 5.0186e-01, -9.8179e+00,\n -4.0593e+00, -4.0424e+00, -6.1731e-01, -1.6256e+00,\n 3.5914e+00, 5.2162e-01, 5.7337e-01, 2.9078e+00,\n -1.1698e+00, -2.9541e+00, -7.6800e-01, 5.0561e+00,\n 7.3497e+00, 9.2154e-01, 2.8036e+00, -2.2178e+00,\n -6.4988e-01, 1.2249e+00, 6.8004e-01, 5.2599e-01,\n 8.3883e+00, 3.1474e-01, 3.8949e+00, 9.6861e-01,\n -5.9495e+00, -3.1088e+00, -7.1509e-01, -2.4531e-01,\n -2.5898e+00, 2.3417e+00, 1.1331e+00, -5.4354e+00,\n -5.0868e+00, 6.0884e+00, -3.5102e+00, -2.5909e+00,\n 1.7440e+00, 1.2727e+00, -4.3806e+00, 3.0358e+00,\n -1.3623e+00, 4.0187e+00, -6.1998e+00, 3.2495e+00,\n -7.0855e-01, -1.9557e+00, 1.5303e+00, 2.7172e-01]]],\n dtype=float32), array([2.], dtype=float32)))\n input_signature: (\n (TensorSpec(shape=(None, 3), dtype=tf.int64, name=None), TensorSpec(shape=(None,), dtype=tf.float32, name=None), TensorSpec(shape=(3,), dtype=tf.int64, name=None), TensorSpec(shape=(None, None, 50), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.float32, name=None)))')
This is my config.yml
language: "es"
pipeline:
- name: SpacyNLP
- name: SpacyTokenizer
- name: SpacyFeaturizer
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
analyzer: word
max_ngram: 1
min_ngram: 1
OOV_token: oov
OOV_words: []
- name: CountVectorsFeaturizer
analyzer: char_wb
max_ngram: 4
min_ngram: 1
- name: DIETClassifier
epochs: 50
random_seed: 12345
number_of_transformer_layers: 1
use_masked_language_model: True
ranking_length: 10
tensorboard_log_directory: ${LOGDIR}
tensorboard_log_level: epoch
- name: EntitySynonymMapper
How do I resolve this issue?