Expose get_config() on ModelTesters (#12812)

* Expose get_config() on ModelTesters

* Typo
This commit is contained in:
Lysandre Debut
2021-07-21 10:13:11 +02:00
committed by GitHub
parent cabcc75171
commit c3d9ac7607
53 changed files with 1249 additions and 1193 deletions

View File

@@ -17,7 +17,7 @@ import copy
import random
import unittest
from transformers import is_torch_available
from transformers import TransfoXLConfig, is_torch_available
from transformers.testing_utils import require_torch, require_torch_multi_gpu, slow, torch_device
from .test_configuration_common import ConfigTester
@@ -29,7 +29,7 @@ if is_torch_available():
import torch
from torch import nn
from transformers import TransfoXLConfig, TransfoXLForSequenceClassification, TransfoXLLMHeadModel, TransfoXLModel
from transformers import TransfoXLForSequenceClassification, TransfoXLLMHeadModel, TransfoXLModel
from transformers.models.transfo_xl.modeling_transfo_xl import TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST
@@ -69,7 +69,12 @@ class TransfoXLModelTester:
if self.use_labels:
lm_labels = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)
config = TransfoXLConfig(
config = self.get_config()
return (config, input_ids_1, input_ids_2, lm_labels)
def get_config(self):
return TransfoXLConfig(
vocab_size=self.vocab_size,
mem_len=self.mem_len,
clamp_len=self.clamp_len,
@@ -85,8 +90,6 @@ class TransfoXLModelTester:
pad_token_id=self.pad_token_id,
)
return (config, input_ids_1, input_ids_2, lm_labels)
def set_seed(self):
random.seed(self.seed)
torch.manual_seed(self.seed)