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Forbid PretrainedConfig from saving generate parameters; Update deprecations in generate-related code 🧹 (#32659)

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
This commit is contained in:
Joao Gante
2024-08-23 11:12:53 +01:00
committed by GitHub
parent 22e6f14525
commit 970a16ec7f
53 changed files with 195 additions and 670 deletions
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9
tests/models/whisper/test_modeling_whisper.py
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@@ -218,7 +218,6 @@ class WhisperModelTester:
decoder_start_token_id=85,
num_conv_layers=1,
suppress_tokens=None,
begin_suppress_tokens=None,
):
self.parent = parent
self.batch_size = batch_size
@@ -243,7 +242,6 @@ class WhisperModelTester:
self.decoder_start_token_id = decoder_start_token_id
self.num_conv_layers = num_conv_layers
self.suppress_tokens = suppress_tokens
self.begin_suppress_tokens = begin_suppress_tokens
def prepare_config_and_inputs(self):
input_features = floats_tensor([self.batch_size, self.num_mel_bins, self.seq_length], self.vocab_size)
@@ -280,7 +278,6 @@ class WhisperModelTester:
encoder_ffn_dim=self.hidden_size,
decoder_start_token_id=self.decoder_start_token_id,
suppress_tokens=self.suppress_tokens,
begin_suppress_tokens=self.begin_suppress_tokens,
)
def prepare_config_and_inputs_for_common(self):
@@ -3309,7 +3306,6 @@ class WhisperEncoderModelTester:
num_mel_bins=80,
num_conv_layers=1,
suppress_tokens=None,
begin_suppress_tokens=None,
classifier_proj_size=4,
num_labels=2,
is_encoder_decoder=False,
@@ -3332,7 +3328,6 @@ class WhisperEncoderModelTester:
self.max_source_positions = max_source_positions
self.num_conv_layers = num_conv_layers
self.suppress_tokens = suppress_tokens
self.begin_suppress_tokens = begin_suppress_tokens
self.classifier_proj_size = classifier_proj_size
self.num_labels = num_labels
self.is_encoder_decoder = is_encoder_decoder
@@ -3353,7 +3348,6 @@ class WhisperEncoderModelTester:
decoder_ffn_dim=self.hidden_size,
encoder_ffn_dim=self.hidden_size,
suppress_tokens=self.suppress_tokens,
begin_suppress_tokens=self.begin_suppress_tokens,
classifier_proj_size=self.classifier_proj_size,
num_labels=self.num_labels,
is_encoder_decoder=self.is_encoder_decoder,
@@ -3685,7 +3679,6 @@ class WhisperStandaloneDecoderModelTester:
decoder_start_token_id=85,
num_conv_layers=1,
suppress_tokens=None,
begin_suppress_tokens=None,
):
self.parent = parent
self.batch_size = batch_size
@@ -3709,7 +3702,6 @@ class WhisperStandaloneDecoderModelTester:
self.decoder_start_token_id = decoder_start_token_id
self.num_conv_layers = num_conv_layers
self.suppress_tokens = suppress_tokens
self.begin_suppress_tokens = begin_suppress_tokens
def prepare_config_and_inputs(self):
input_features = floats_tensor([self.batch_size, self.num_mel_bins, self.seq_length], self.vocab_size)
@@ -3765,7 +3757,6 @@ class WhisperStandaloneDecoderModelTester:
encoder_ffn_dim=self.hidden_size,
decoder_start_token_id=self.decoder_start_token_id,
suppress_tokens=self.suppress_tokens,
begin_suppress_tokens=self.begin_suppress_tokens,
)
def prepare_config_and_inputs_for_common(self):