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fix ci issue

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This commit is contained in:
mulin.lyh
2023-09-25 23:53:36 +08:00
parent 614889e351
commit 6c7a19ca35
3 changed files with 18 additions and 10 deletions
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23
modelscope/models/nlp/space/model/gen_unified_transformer.py
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@@ -14,7 +14,8 @@ class GenUnifiedTransformer(UnifiedTransformer):
super(GenUnifiedTransformer, self).__init__(model_dir, config, reader,
generator)
self.understand = config.BPETextField.understand
if torch.cuda.is_available():
self.use_gpu = True
if self.use_gpu:
self.cuda()
return
@@ -201,15 +202,21 @@ class GenUnifiedTransformer(UnifiedTransformer):
mask = state['mask']
# shape: [batch_size, 1, 1]
pred_token = state['pred_token']
pred_mask = state['pred_mask']
pred_pos = state['pred_pos']
pred_type = state['pred_type']
pred_turn = state['pred_turn']
if self.use_gpu:
pred_token = state['pred_token'].cuda()
pred_mask = state['pred_mask'].cuda()
pred_pos = state['pred_pos'].cuda()
pred_type = state['pred_type'].cuda()
pred_turn = state['pred_turn'].cuda()
else:
pred_token = state['pred_token']
pred_mask = state['pred_mask']
pred_pos = state['pred_pos']
pred_type = state['pred_type']
pred_turn = state['pred_turn']
# list of shape(len: num_layers): [batch_size, seq_len, hidden_dim]
cache = state['cache']
pred_embed = self.embedder(pred_token, pred_pos, pred_type,
pred_turn).squeeze(-2)
pred_embed = self.embed_layer_norm(pred_embed)
@@ -266,7 +273,7 @@ class GenUnifiedTransformer(UnifiedTransformer):
src_pos=inputs['src_pos'],
src_type=inputs['src_type'],
src_turn=inputs['src_turn'])
# Generation process.
gen_results = self.generator(
step_fn=self._decode,

3
modelscope/models/nlp/space/model/generator.py
View File

@@ -67,6 +67,8 @@ class SpaceGenerator(object):
self.min_gen_len = config.Generator.min_gen_len
self.max_gen_len = config.Generator.max_gen_len
self.use_gpu = config.use_gpu
if torch.cuda.is_available():
self.use_gpu = True
assert 1 <= self.min_gen_len <= self.max_gen_len
return
@@ -184,7 +186,6 @@ class BeamSearch(SpaceGenerator):
unk_penalty = unk_penalty.cuda()
eos_penalty = eos_penalty.cuda()
scores_after_end = scores_after_end.cuda()
if self.ignore_unk:
scores = scores + unk_penalty
scores = scores + eos_penalty

2
tests/trainers/test_lora_diffusion_xl_trainer.py
View File

@@ -35,7 +35,7 @@ class TestLoraDiffusionXLTrainer(unittest.TestCase):
shutil.rmtree(self.tmp_dir)
super().tearDown()
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
@unittest.skipUnless(test_level() >= 1, 'skip test for oom')
def test_lora_diffusion_xl_train(self):
model_id = 'AI-ModelScope/stable-diffusion-xl-base-1.0'
model_revision = 'v1.0.2'