575 lines
17 KiB
Python
575 lines
17 KiB
Python
# coding=utf-8
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# Copyright 2018 The Google AI Language Team Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import random
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import unittest
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from transformers import TransfoXLConfig, is_tf_available
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from .test_configuration_common import ConfigTester
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from .test_modeling_tf_common import TFModelTesterMixin, ids_tensor
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from .utils import CACHE_DIR, require_tf, slow
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if is_tf_available():
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import tensorflow as tf
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from transformers import (
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TFTransfoXLModel,
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TFTransfoXLLMHeadModel,
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TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_MAP,
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)
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@require_tf
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class TFTransfoXLModelTest(TFModelTesterMixin, unittest.TestCase):
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all_model_classes = (TFTransfoXLModel, TFTransfoXLLMHeadModel) if is_tf_available() else ()
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all_generative_model_classes = () if is_tf_available() else ()
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# TODO: add this test when TFTransfoXLLMHead has a linear output layer implemented
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test_pruning = False
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test_torchscript = False
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test_resize_embeddings = False
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class TFTransfoXLModelTester(object):
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def __init__(
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self,
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parent,
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batch_size=13,
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seq_length=7,
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mem_len=30,
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clamp_len=15,
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is_training=True,
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use_labels=True,
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vocab_size=99,
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cutoffs=[10, 50, 80],
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hidden_size=32,
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d_embed=32,
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num_attention_heads=4,
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d_head=8,
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d_inner=128,
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div_val=2,
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num_hidden_layers=5,
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scope=None,
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seed=1,
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eos_token_id=0,
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):
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self.parent = parent
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self.batch_size = batch_size
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self.seq_length = seq_length
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self.mem_len = mem_len
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self.key_length = seq_length + mem_len
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self.clamp_len = clamp_len
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self.is_training = is_training
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self.use_labels = use_labels
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self.vocab_size = vocab_size
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self.cutoffs = cutoffs
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self.hidden_size = hidden_size
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self.d_embed = d_embed
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self.num_attention_heads = num_attention_heads
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self.d_head = d_head
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self.d_inner = d_inner
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self.div_val = div_val
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self.num_hidden_layers = num_hidden_layers
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self.scope = scope
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self.seed = seed
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self.eos_token_id = eos_token_id
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def prepare_config_and_inputs(self):
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input_ids_1 = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)
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input_ids_2 = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)
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lm_labels = None
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if self.use_labels:
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lm_labels = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)
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config = TransfoXLConfig(
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vocab_size=self.vocab_size,
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mem_len=self.mem_len,
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clamp_len=self.clamp_len,
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cutoffs=self.cutoffs,
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d_model=self.hidden_size,
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d_embed=self.d_embed,
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n_head=self.num_attention_heads,
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d_head=self.d_head,
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d_inner=self.d_inner,
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div_val=self.div_val,
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n_layer=self.num_hidden_layers,
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eos_token_id=self.eos_token_id,
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)
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return (config, input_ids_1, input_ids_2, lm_labels)
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def set_seed(self):
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random.seed(self.seed)
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tf.random.set_seed(self.seed)
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def create_and_check_transfo_xl_model(self, config, input_ids_1, input_ids_2, lm_labels):
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model = TFTransfoXLModel(config)
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hidden_states_1, mems_1 = model(input_ids_1)
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inputs = {"input_ids": input_ids_2, "mems": mems_1}
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hidden_states_2, mems_2 = model(inputs)
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result = {
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"hidden_states_1": hidden_states_1.numpy(),
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"mems_1": [mem.numpy() for mem in mems_1],
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"hidden_states_2": hidden_states_2.numpy(),
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"mems_2": [mem.numpy() for mem in mems_2],
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}
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self.parent.assertListEqual(
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list(result["hidden_states_1"].shape), [self.batch_size, self.seq_length, self.hidden_size]
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)
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self.parent.assertListEqual(
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list(result["hidden_states_2"].shape), [self.batch_size, self.seq_length, self.hidden_size]
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)
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self.parent.assertListEqual(
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list(list(mem.shape) for mem in result["mems_1"]),
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[[self.mem_len, self.batch_size, self.hidden_size]] * self.num_hidden_layers,
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)
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self.parent.assertListEqual(
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list(list(mem.shape) for mem in result["mems_2"]),
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[[self.mem_len, self.batch_size, self.hidden_size]] * self.num_hidden_layers,
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)
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def create_and_check_transfo_xl_lm_head(self, config, input_ids_1, input_ids_2, lm_labels):
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model = TFTransfoXLLMHeadModel(config)
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lm_logits_1, mems_1 = model(input_ids_1)
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inputs = {"input_ids": input_ids_1, "labels": lm_labels}
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_, mems_1 = model(inputs)
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lm_logits_2, mems_2 = model([input_ids_2, mems_1])
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inputs = {"input_ids": input_ids_1, "mems": mems_1, "labels": lm_labels}
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_, mems_2 = model(inputs)
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result = {
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"mems_1": [mem.numpy() for mem in mems_1],
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"lm_logits_1": lm_logits_1.numpy(),
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"mems_2": [mem.numpy() for mem in mems_2],
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"lm_logits_2": lm_logits_2.numpy(),
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}
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self.parent.assertListEqual(
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list(result["lm_logits_1"].shape), [self.batch_size, self.seq_length, self.vocab_size]
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)
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self.parent.assertListEqual(
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list(list(mem.shape) for mem in result["mems_1"]),
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[[self.mem_len, self.batch_size, self.hidden_size]] * self.num_hidden_layers,
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)
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self.parent.assertListEqual(
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list(result["lm_logits_2"].shape), [self.batch_size, self.seq_length, self.vocab_size]
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)
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self.parent.assertListEqual(
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list(list(mem.shape) for mem in result["mems_2"]),
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[[self.mem_len, self.batch_size, self.hidden_size]] * self.num_hidden_layers,
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)
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def prepare_config_and_inputs_for_common(self):
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config_and_inputs = self.prepare_config_and_inputs()
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(config, input_ids_1, input_ids_2, lm_labels) = config_and_inputs
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inputs_dict = {"input_ids": input_ids_1}
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return config, inputs_dict
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def setUp(self):
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self.model_tester = TFTransfoXLModelTest.TFTransfoXLModelTester(self)
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self.config_tester = ConfigTester(self, config_class=TransfoXLConfig, d_embed=37)
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def test_config(self):
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self.config_tester.run_common_tests()
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def test_transfo_xl_model(self):
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self.model_tester.set_seed()
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config_and_inputs = self.model_tester.prepare_config_and_inputs()
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self.model_tester.create_and_check_transfo_xl_model(*config_and_inputs)
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def test_transfo_xl_lm_head(self):
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self.model_tester.set_seed()
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config_and_inputs = self.model_tester.prepare_config_and_inputs()
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self.model_tester.create_and_check_transfo_xl_lm_head(*config_and_inputs)
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@slow
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def test_model_from_pretrained(self):
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for model_name in list(TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
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model = TFTransfoXLModel.from_pretrained(model_name, cache_dir=CACHE_DIR)
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self.assertIsNotNone(model)
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class TFTransfoXLModelLanguageGenerationTest(unittest.TestCase):
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@slow
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def test_lm_generate_transfo_xl_wt103(self):
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model = TFTransfoXLLMHeadModel.from_pretrained("transfo-xl-wt103")
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input_ids = tf.convert_to_tensor(
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[
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[
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33,
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1297,
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2,
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1,
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1009,
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4,
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1109,
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11739,
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4762,
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358,
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5,
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25,
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245,
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22,
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1706,
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17,
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20098,
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5,
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3215,
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21,
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37,
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1110,
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3,
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13,
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1041,
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4,
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24,
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603,
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|
490,
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2,
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|
71477,
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20098,
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104447,
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2,
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20961,
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1,
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2604,
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4,
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1,
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329,
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3,
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6224,
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831,
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16002,
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2,
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|
8,
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|
603,
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|
78967,
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|
29546,
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|
23,
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|
803,
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|
20,
|
|
25,
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|
416,
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|
5,
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|
8,
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|
232,
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|
4,
|
|
277,
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|
6,
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|
1855,
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|
4601,
|
|
3,
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|
29546,
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|
54,
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|
8,
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|
3609,
|
|
5,
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|
57211,
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|
49,
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|
4,
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|
1,
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|
277,
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|
18,
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|
8,
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|
1755,
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|
15691,
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|
3,
|
|
341,
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|
25,
|
|
416,
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|
693,
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|
42573,
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|
71,
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|
17,
|
|
401,
|
|
94,
|
|
31,
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|
17919,
|
|
2,
|
|
29546,
|
|
7873,
|
|
18,
|
|
1,
|
|
435,
|
|
23,
|
|
11011,
|
|
755,
|
|
5,
|
|
5167,
|
|
3,
|
|
7983,
|
|
98,
|
|
84,
|
|
2,
|
|
29546,
|
|
3267,
|
|
8,
|
|
3609,
|
|
4,
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|
1,
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|
4865,
|
|
1075,
|
|
2,
|
|
6087,
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|
71,
|
|
6,
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|
346,
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|
8,
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|
5854,
|
|
3,
|
|
29546,
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|
824,
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|
1400,
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|
1868,
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|
2,
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|
19,
|
|
160,
|
|
2,
|
|
311,
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|
8,
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|
5496,
|
|
2,
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|
20920,
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|
17,
|
|
25,
|
|
15097,
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|
3,
|
|
24,
|
|
24,
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0,
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]
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],
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dtype=tf.int32,
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)
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# In 1991 , the remains of Russian Tsar Nicholas II and his family
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# ( except for Alexei and Maria ) are discovered .
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# The voice of Nicholas's young son , Tsarevich Alexei Nikolaevich , narrates the
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# remainder of the story . 1883 Western Siberia ,
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# a young Grigori Rasputin is asked by his father and a group of men to perform magic .
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# Rasputin has a vision and denounces one of the men as a horse thief . Although his
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# father initially slaps him for making such an accusation , Rasputin watches as the
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# man is chased outside and beaten . Twenty years later , Rasputin sees a vision of
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# the Virgin Mary , prompting him to become a priest . Rasputin quickly becomes famous ,
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# with people , even a bishop , begging for his blessing . <eod> </s> <eos>
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expected_output_ids = [
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33,
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1297,
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2,
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1,
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1009,
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4,
|
|
1109,
|
|
11739,
|
|
4762,
|
|
358,
|
|
5,
|
|
25,
|
|
245,
|
|
22,
|
|
1706,
|
|
17,
|
|
20098,
|
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5,
|
|
3215,
|
|
21,
|
|
37,
|
|
1110,
|
|
3,
|
|
13,
|
|
1041,
|
|
4,
|
|
24,
|
|
603,
|
|
490,
|
|
2,
|
|
71477,
|
|
20098,
|
|
104447,
|
|
2,
|
|
20961,
|
|
1,
|
|
2604,
|
|
4,
|
|
1,
|
|
329,
|
|
3,
|
|
6224,
|
|
831,
|
|
16002,
|
|
2,
|
|
8,
|
|
603,
|
|
78967,
|
|
29546,
|
|
23,
|
|
803,
|
|
20,
|
|
25,
|
|
416,
|
|
5,
|
|
8,
|
|
232,
|
|
4,
|
|
277,
|
|
6,
|
|
1855,
|
|
4601,
|
|
3,
|
|
29546,
|
|
54,
|
|
8,
|
|
3609,
|
|
5,
|
|
57211,
|
|
49,
|
|
4,
|
|
1,
|
|
277,
|
|
18,
|
|
8,
|
|
1755,
|
|
15691,
|
|
3,
|
|
341,
|
|
25,
|
|
416,
|
|
693,
|
|
42573,
|
|
71,
|
|
17,
|
|
401,
|
|
94,
|
|
31,
|
|
17919,
|
|
2,
|
|
29546,
|
|
7873,
|
|
18,
|
|
1,
|
|
435,
|
|
23,
|
|
11011,
|
|
755,
|
|
5,
|
|
5167,
|
|
3,
|
|
7983,
|
|
98,
|
|
84,
|
|
2,
|
|
29546,
|
|
3267,
|
|
8,
|
|
3609,
|
|
4,
|
|
1,
|
|
4865,
|
|
1075,
|
|
2,
|
|
6087,
|
|
71,
|
|
6,
|
|
346,
|
|
8,
|
|
5854,
|
|
3,
|
|
29546,
|
|
824,
|
|
1400,
|
|
1868,
|
|
2,
|
|
19,
|
|
160,
|
|
2,
|
|
311,
|
|
8,
|
|
5496,
|
|
2,
|
|
20920,
|
|
17,
|
|
25,
|
|
15097,
|
|
3,
|
|
24,
|
|
24,
|
|
0,
|
|
33,
|
|
1,
|
|
1857,
|
|
2,
|
|
1,
|
|
1009,
|
|
4,
|
|
1109,
|
|
11739,
|
|
4762,
|
|
358,
|
|
5,
|
|
25,
|
|
245,
|
|
28,
|
|
1110,
|
|
3,
|
|
13,
|
|
1041,
|
|
4,
|
|
24,
|
|
603,
|
|
490,
|
|
2,
|
|
71477,
|
|
20098,
|
|
104447,
|
|
2,
|
|
20961,
|
|
1,
|
|
2604,
|
|
4,
|
|
1,
|
|
329,
|
|
3,
|
|
0,
|
|
]
|
|
# In 1991, the remains of Russian Tsar Nicholas II and his family (
|
|
# except for Alexei and Maria ) are discovered. The voice of young son,
|
|
# Tsarevich Alexei Nikolaevich, narrates the remainder of the story.
|
|
# 1883 Western Siberia, a young Grigori Rasputin is asked by his father
|
|
# and a group of men to perform magic. Rasputin has a vision and
|
|
# denounces one of the men as a horse thief. Although his father initially
|
|
# slaps him for making such an accusation, Rasputin watches as the man
|
|
# is chased outside and beaten. Twenty years later, Rasputin sees a vision
|
|
# of the Virgin Mary, prompting him to become a priest.
|
|
# Rasputin quickly becomes famous, with people, even a bishop, begging for
|
|
# his blessing. <unk> <unk> <eos> In the 1990s, the remains of Russian Tsar
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# Nicholas II and his family were discovered. The voice of <unk> young son,
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# Tsarevich Alexei Nikolaevich, narrates the remainder of the story.<eos>
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output_ids = model.generate(input_ids, max_length=200, do_sample=False)
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self.assertListEqual(output_ids[0].numpy().tolist(), expected_output_ids)
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