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nvidia-nemo--speech/tests/functional_tests/L2_TTS_InferEvaluate_Magpietts_FrameStacking.sh
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chore: import upstream snapshot with attribution
2026-07-13 13:28:58 +08:00

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# Copyright (c) 2020-2025, NVIDIA CORPORATION.
#
# 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.
# Tests a 4x-stacked model with local transformer inference.
CUBLAS_WORKSPACE_CONFIG=:4096:8 HF_HUB_OFFLINE=1 TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD=1 coverage run -a --data-file=/workspace/.coverage --source=/workspace/nemo examples/tts/magpietts_inference.py \
--deterministic \
--codecmodel_path /home/TestData/tts/21fps_causal_codecmodel.nemo \
--datasets_json_path examples/tts/evalset_config.json \
--datasets an4_val_ci \
--out_dir ./mp_fs_4x_0 \
--batch_size 4 \
--use_cfg \
--cfg_scale 2.5 \
--num_repeats 1 \
--temperature 0.6 \
--hparams_files /home/TestData/tts/2602_FrameStacking4x/hparams.yaml \
--checkpoint_files /home/TestData/tts/2602_FrameStacking4x/frame-stacking-4x-english-nanocodec.ckpt \
--run_evaluation \
--clean_up_disk \
--cer_target 0.07 \
--ssim_target 0.66 \
--use_local_transformer \
--asr_model_name /home/TestData/tts/pretrained_models/parakeet-tdt-1.1b/parakeet-tdt-1.1b.nemo \
--eou_model_name /home/TestData/tts/pretrained_models/wav2vec2-base-960h