ngpu bug and rm easyasr

修复ngpu指定无效的问题；移除easyasr，全部涉及模型都下架了；将funasr版本限制为>=0.6.0
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/12933049
* ngpu bug and rm easyasr

modelscope/pipelines/audio/asr_inference_pipeline.py

@@ -127,7 +127,7 @@ class AutomaticSpeechRecognitionPipeline(Pipeline):
             minlenratio=self.cmd['minlenratio'],
             batch_size=self.cmd['batch_size'],
             beam_size=self.cmd['beam_size'],
-            ngpu=self.cmd['ngpu'],
+            ngpu=ngpu,
             ctc_weight=self.cmd['ctc_weight'],
             lm_weight=self.cmd['lm_weight'],
             penalty=self.cmd['penalty'],

modelscope/pipelines/audio/lm_infer_pipeline.py

@@ -80,7 +80,7 @@ class LanguageModelPipeline(Pipeline):
             mode=self.cmd['mode'],
             batch_size=self.cmd['batch_size'],
             dtype=self.cmd['dtype'],
-            ngpu=self.cmd['ngpu'],
+            ngpu=ngpu,
             seed=self.cmd['seed'],
             num_workers=self.cmd['num_workers'],
             log_level=self.cmd['log_level'],

modelscope/pipelines/audio/punctuation_processing_pipeline.py

@@ -54,7 +54,7 @@ class PunctuationProcessingPipeline(Pipeline):
             mode=self.cmd['mode'],
             batch_size=self.cmd['batch_size'],
             dtype=self.cmd['dtype'],
-            ngpu=self.cmd['ngpu'],
+            ngpu=ngpu,
             seed=self.cmd['seed'],
             num_workers=self.cmd['num_workers'],
             log_level=self.cmd['log_level'],

modelscope/pipelines/audio/speaker_diarization_pipeline.py

@@ -77,7 +77,7 @@ class SpeakerDiarizationPipeline(Pipeline):
             output_dir=self.cmd['output_dir'],
             batch_size=self.cmd['batch_size'],
             dtype=self.cmd['dtype'],
-            ngpu=self.cmd['ngpu'],
+            ngpu=ngpu,
             seed=self.cmd['seed'],
             num_workers=self.cmd['num_workers'],
             log_level=self.cmd['log_level'],

modelscope/pipelines/audio/speaker_verification_pipeline.py

@@ -57,7 +57,7 @@ class SpeakerVerificationPipeline(Pipeline):
             output_dir=self.cmd['output_dir'],
             batch_size=self.cmd['batch_size'],
             dtype=self.cmd['dtype'],
-            ngpu=self.cmd['ngpu'],
+            ngpu=ngpu,
             seed=self.cmd['seed'],
             num_workers=self.cmd['num_workers'],
             log_level=self.cmd['log_level'],

modelscope/pipelines/audio/timestamp_pipeline.py

@@ -75,7 +75,7 @@ class TimestampPipeline(Pipeline):
             mode=self.cmd['mode'],
             batch_size=self.cmd['batch_size'],
             dtype=self.cmd['dtype'],
-            ngpu=self.cmd['ngpu'],
+            ngpu=ngpu,
             seed=self.cmd['seed'],
             num_workers=self.cmd['num_workers'],
             log_level=self.cmd['log_level'],

modelscope/pipelines/audio/voice_activity_detection_pipeline.py

@@ -56,7 +56,7 @@ class VoiceActivityDetectionPipeline(Pipeline):
             mode=self.cmd['mode'],
             batch_size=self.cmd['batch_size'],
             dtype=self.cmd['dtype'],
-            ngpu=self.cmd['ngpu'],
+            ngpu=ngpu,
             seed=self.cmd['seed'],
             num_workers=self.cmd['num_workers'],
             log_level=self.cmd['log_level'],

requirements/audio/audio_asr.txt

@@ -1,2 +1 @@
-easyasr>=0.0.2
-funasr>=0.5.0
+funasr>=0.6.0