Unable to run inference ;TypeError: embedding(): argument 'indices' (position 2) must be Tensor, not NoneType

[phoenix8875]

@gokulkarthik I am trying to run an inference with the following command
python3 -m TTS.bin.synthesize --text "राजस्थान और उत्तर प्रदेश से लेकर हरियाणा मध्य प्रदेश एवं उत्तराखंड में सेना में भर्ती से जुड़ी अग्निपथ स्कीमका विरोध जारी है"
--model_path /home/raj/Downloads/ai4bharat/text2speech/models/v1/hi/fastpitch/best_model.pth
--config_path /home/raj/Downloads/ai4bharat/text2speech/models/v1/hi/fastpitch/config.json
--vocoder_path /home/raj/Downloads/ai4bharat/text2speech/models/v1/hi/hifigan/best_model.pth
--vocoder_config_path /home/raj/Downloads/ai4bharat/text2speech/models/v1/hi/hifigan/config.json
--out_path /home/raj/Downloads/ai4bharat/output

I am getting this error

> Using model: fast_pitch

 > Setting up Audio Processor...
 | > sample_rate:22050
 | > resample:False
 | > num_mels:80
 | > log_func:np.log
 | > min_level_db:-100
 | > frame_shift_ms:None
 | > frame_length_ms:None
 | > ref_level_db:20
 | > fft_size:1024
 | > power:1.5
 | > preemphasis:0.0
 | > griffin_lim_iters:60
 | > signal_norm:False
 | > symmetric_norm:True
 | > mel_fmin:0
 | > mel_fmax:8000.0
 | > pitch_fmin:0.0
 | > pitch_fmax:640.0
 | > spec_gain:1.0
 | > stft_pad_mode:reflect
 | > max_norm:4.0
 | > clip_norm:True
 | > do_trim_silence:True
 | > trim_db:60
 | > do_sound_norm:False
 | > do_amp_to_db_linear:True
 | > do_amp_to_db_mel:True
 | > do_rms_norm:False
 | > db_level:None
 | > stats_path:None
 | > base:2.718281828459045
 | > hop_length:256
 | > win_length:1024
 > Init speaker_embedding layer.
 > Vocoder Model: hifigan
 > Setting up Audio Processor...
 | > sample_rate:22050
 | > resample:False
 | > num_mels:80
 | > log_func:np.log
 | > min_level_db:-100
 | > frame_shift_ms:None
 | > frame_length_ms:None
 | > ref_level_db:20
 | > fft_size:1024
 | > power:1.5
 | > preemphasis:0.0
 | > griffin_lim_iters:60
 | > signal_norm:False
 | > symmetric_norm:True
 | > mel_fmin:0
 | > mel_fmax:8000.0
 | > pitch_fmin:0.0
 | > pitch_fmax:640.0
 | > spec_gain:1.0
 | > stft_pad_mode:reflect
 | > max_norm:4.0
 | > clip_norm:True
 | > do_trim_silence:True
 | > trim_db:60
 | > do_sound_norm:False
 | > do_amp_to_db_linear:True
 | > do_amp_to_db_mel:True
 | > do_rms_norm:False
 | > db_level:None
 | > stats_path:None
 | > base:2.718281828459045
 | > hop_length:256
 | > win_length:1024
 > Generator Model: hifigan_generator
 > Discriminator Model: hifigan_discriminator
Removing weight norm...

Text: राजस्थान और उत्तर प्रदेश से लेकर हरियाणा मध्य प्रदेश एवं
उत्तराखंड में सेना में भर्ती से जुड़ी अग्निपथ स्कीमका विरोध जारी है
 > Text splitted to sentences.
['राजस्थान और उत्तर प्रदेश से लेकर हरियाणा मध्य प्रदेश एवं उत्तराखंड में सेना में भर्ती से जुड़ी अग्निपथ स्कीमका विरोध जारी है']
Traceback (most recent call last):
  File "/home/raj/anaconda3/envs/tts-env/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/raj/anaconda3/envs/tts-env/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/raj/.local/lib/python3.10/site-packages/TTS/bin/synthesize.py", line 418, in
    main()
  File "/home/raj/.local/lib/python3.10/site-packages/TTS/bin/synthesize.py", line 396, in main
    wav = synthesizer.tts(
  File "/home/raj/.local/lib/python3.10/site-packages/TTS/utils/synthesizer.py", line 323, in tts
    outputs = synthesis(
  File "/home/raj/.local/lib/python3.10/site-packages/TTS/tts/utils/synthesis.py", line 213, in synthesis
    outputs = run_model_torch(
  File "/home/raj/.local/lib/python3.10/site-packages/TTS/tts/utils/synthesis.py", line 50, in run_model_torch
    outputs = _func(
  File "/home/raj/.local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/home/raj/.local/lib/python3.10/site-packages/TTS/tts/models/forward_tts.py", line 684, in inference
    o_en, x_mask, g, _ = self._forward_encoder(x, x_mask, g)
  File "/home/raj/.local/lib/python3.10/site-packages/TTS/tts/models/forward_tts.py", line 399, in _forward_encoder
    g = self.emb_g(g)  # [B, C, 1]
  File "/home/raj/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/raj/.local/lib/python3.10/site-packages/torch/nn/modules/sparse.py", line 162, in forward
    return F.embedding(
  File "/home/raj/.local/lib/python3.10/site-packages/torch/nn/functional.py", line 2210, in embedding
    return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
TypeError: embedding(): argument 'indices' (position 2) must be Tensor, not NoneType

[phoenix8875]

update get past the above error but now Unable to find speaker id for hi model can you please give a sample inference for hi model @gokulkarthik

[neso613]

update get past the above error but now Unable to find speaker id for hi model can you please give a sample inference for hi model @gokulkarthik

Same error I am facing.
@gokulkarthik looking forward