add u2 st

deepspeech/exps/u2_st/__init__.py

+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.

deepspeech/exps/u2_st/bin/export.py

+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Export for U2 model."""
+from deepspeech.exps.u2_st.config import get_cfg_defaults
+from deepspeech.exps.u2_st.model import U2STTester as Tester
+from deepspeech.training.cli import default_argument_parser
+from deepspeech.utils.utility import print_arguments
+
+
+def main_sp(config, args):
+    exp = Tester(config, args)
+    exp.setup()
+    exp.run_export()
+
+
+def main(config, args):
+    main_sp(config, args)
+
+
+if __name__ == "__main__":
+    parser = default_argument_parser()
+    args = parser.parse_args()
+    print_arguments(args, globals())
+
+    # https://yaml.org/type/float.html
+    config = get_cfg_defaults()
+    if args.config:
+        config.merge_from_file(args.config)
+    if args.opts:
+        config.merge_from_list(args.opts)
+    config.freeze()
+    print(config)
+    if args.dump_config:
+        with open(args.dump_config, 'w') as f:
+            print(config, file=f)
+
+    main(config, args)

deepspeech/exps/u2_st/bin/test.py

+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Evaluation for U2 model."""
+import cProfile
+
+from deepspeech.exps.u2_st.config import get_cfg_defaults
+from deepspeech.exps.u2_st.model import U2STTester as Tester
+from deepspeech.training.cli import default_argument_parser
+from deepspeech.utils.utility import print_arguments
+
+# TODO(hui zhang): dynamic load 
+
+
+def main_sp(config, args):
+    exp = Tester(config, args)
+    exp.setup()
+    exp.run_test()
+
+
+def main(config, args):
+    main_sp(config, args)
+
+
+if __name__ == "__main__":
+    parser = default_argument_parser()
+    args = parser.parse_args()
+    print_arguments(args, globals())
+
+    # https://yaml.org/type/float.html
+    config = get_cfg_defaults()
+    if args.config:
+        config.merge_from_file(args.config)
+    if args.opts:
+        config.merge_from_list(args.opts)
+    config.freeze()
+    print(config)
+    if args.dump_config:
+        with open(args.dump_config, 'w') as f:
+            print(config, file=f)
+
+    # Setting for profiling
+    pr = cProfile.Profile()
+    pr.runcall(main, config, args)
+    pr.dump_stats('test.profile')

deepspeech/exps/u2_st/bin/train.py

+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Trainer for U2 model."""
+import cProfile
+import os
+
+from paddle import distributed as dist
+
+from deepspeech.exps.u2_st.config import get_cfg_defaults
+from deepspeech.exps.u2_st.model import U2STTrainer as Trainer
+from deepspeech.training.cli import default_argument_parser
+from deepspeech.utils.utility import print_arguments
+
+
+def main_sp(config, args):
+    exp = Trainer(config, args)
+    exp.setup()
+    exp.run()
+
+
+def main(config, args):
+    if args.device == "gpu" and args.nprocs > 1:
+        dist.spawn(main_sp, args=(config, args), nprocs=args.nprocs)
+    else:
+        main_sp(config, args)
+
+
+if __name__ == "__main__":
+    parser = default_argument_parser()
+    args = parser.parse_args()
+    print_arguments(args, globals())
+
+    # https://yaml.org/type/float.html
+    config = get_cfg_defaults()
+    if args.config:
+        config.merge_from_file(args.config)
+    if args.opts:
+        config.merge_from_list(args.opts)
+    config.freeze()
+    print(config)
+    if args.dump_config:
+        with open(args.dump_config, 'w') as f:
+            print(config, file=f)
+
+    # Setting for profiling
+    pr = cProfile.Profile()
+    pr.runcall(main, config, args)
+    pr.dump_stats(os.path.join(args.output, 'train.profile'))

deepspeech/exps/u2_st/config.py

+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from yacs.config import CfgNode
+
+from deepspeech.exps.u2_st.model import U2STTester
+from deepspeech.exps.u2_st.model import U2STTrainer
+from deepspeech.io.collator_st import SpeechCollator
+from deepspeech.io.dataset import ManifestDataset
+from deepspeech.models.u2_st import U2STModel
+
+_C = CfgNode()
+
+_C.data = ManifestDataset.params()
+
+_C.collator = SpeechCollator.params()
+
+_C.model = U2STModel.params()
+
+_C.training = U2STTrainer.params()
+
+_C.decoding = U2STTester.params()
+
+
+def get_cfg_defaults():
+    """Get a yacs CfgNode object with default values for my_project."""
+    # Return a clone so that the defaults will not be altered
+    # This is for the "local variable" use pattern
+    config = _C.clone()
+    config.set_new_allowed(True)
+    return config