release/v1.8.5分支中语音模型发布，不能在develop分支中使用了吗？

[DemoMoon]

(venv) root@ip-10-0-1-86:baidu_en8k# bash server.sh /home/DeepSpeech/examples/baidu_en8k/ckpt/checkpoints/step-15
/home/DeepSpeech/examples/baidu_en8k/ckpt/checkpoints/step-15
Download language model ...
./data/lm/common_crawl_00.prune01111.trie.klm already exists, download skipped.
Download baidu_en8k_model model ...
data/pretrain/baidu_en8k_model_fluid.tar.gz already exists, download skipped.
mean_std.npz
README.md
vocab.txt
params.pdparams
/home/DeepSpeech/tools/venv/lib/python3.8/site-packages/paddle/fluid/layers/utils.py:26: DeprecationWarning: np.int is a deprecated alias for the builtin int. To silence this warning, use int by itself. Doing this will not modify any behavior and is safe. When replacing np.int, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
def convert_to_list(value, n, name, dtype=np.int):
/home/DeepSpeech/tools/venv/lib/python3.8/distutils/init.py:4: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
import imp
/home/DeepSpeech/tools/venv/lib/python3.8/site-packages/pkg_resources/_vendor/pyparsing.py:943: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.9 it will stop working
collections.MutableMapping.register(ParseResults)
----------- Configuration Arguments -----------
checkpoint_path: /home/DeepSpeech/examples/baidu_en8k/ckpt/checkpoints/step-15
config: conf/deepspeech2.yaml
device: cpu
dump_config: None
export_path: None
host_ip: localhost
host_port: 8080
nprocs: 1
opts: []
output: None
speech_save_dir: demo_cache
warmup_manifest: None

data:
augmentation_config: conf/augmentation.config
batch_size: 64
dev_manifest: data/manifest.dev
keep_transcription_text: False
max_duration: 27.0
max_freq: None
mean_std_filepath: data/mean_std.npz
min_duration: 0.0
n_fft: None
num_workers: 0
random_seed: 0
shuffle_method: batch_shuffle
sortagrad: True
specgram_type: linear
stride_ms: 10.0
target_dB: -20
target_sample_rate: 16000
test_manifest: data/manifest.test
train_manifest: data/manifest.train
use_dB_normalization: True
vocab_filepath: data/vocab.txt
window_ms: 20.0
decoding:
alpha: 1.9
batch_size: 128
beam_size: 300
beta: 5.0
cutoff_prob: 0.99
cutoff_top_n: 40
decoding_method: ctc_beam_search
error_rate_type: cer
lang_model_path: data/lm/zh_giga.no_cna_cmn.prune01244.klm
num_proc_bsearch: 10
model:
num_conv_layers: 2
num_rnn_layers: 3
rnn_layer_size: 1024
share_rnn_weights: False
use_gru: True
training:
global_grad_clip: 5.0
lr: 0.002
lr_decay: 0.83
n_epoch: 50
weight_decay: 1e-06
----------- Configuration Arguments -----------
checkpoint_path: /home/DeepSpeech/examples/baidu_en8k/ckpt/checkpoints/step-15
config: conf/deepspeech2.yaml
device: cpu
dump_config: None
export_path: None
host_ip: localhost
host_port: 8080
nprocs: 1
opts: []
output: None
speech_save_dir: demo_cache
warmup_manifest: data/manifest.test

-----------------/home/DeepSpeech/examples/baidu_en8k/ckpt/checkpoints/step-15.pdparams
Traceback (most recent call last):
File "/home/DeepSpeech/examples/baidu_en8k/../..//deepspeech/exps/deepspeech2/bin/deploy/server.py", line 134, in
main(config, args)
File "/home/DeepSpeech/examples/baidu_en8k/../..//deepspeech/exps/deepspeech2/bin/deploy/server.py", line 100, in main
start_server(config, args)
File "/home/DeepSpeech/examples/baidu_en8k/../..//deepspeech/exps/deepspeech2/bin/deploy/server.py", line 55, in start_server
model = DeepSpeech2Model.from_pretrained(dataset, config,
File "/home/DeepSpeech/deepspeech/models/deepspeech2.py", line 238, in from_pretrained
checkpoint.load_parameters(model, checkpoint_path=checkpoint_path)
File "/home/DeepSpeech/deepspeech/utils/checkpoint.py", line 102, in load_parameters
model_dict = paddle.load(params_path)
File "/home/DeepSpeech/tools/venv/lib/python3.8/site-packages/paddle/framework/io.py", line 351, in load
load_result = pickle.load(f) if six.PY2 else pickle.load(
_pickle.UnpicklingError: invalid load key, '\x00'.
Failed in starting demo server!

[DemoMoon]

就是直接拿BaiduEN8k Model的语音模型发布 在develop中推理用。

[zh794390558]

不可以这么用。1.8的只有lm还可以用。

[zh794390558]

已经重新发布了1.8的模型，适配到2.x上。 https://github.com/PaddlePaddle/DeepSpeech/tree/develop/examples/v18_to_v2x