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model_input.txt
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model_input.txt
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{'text': tensor([[15914, 19550, 2930, 231, 24726, 49657, 234, 2415, 97, 5233,
255, 18034, 3919, 95, 10034, 253, 11319, 12560, 33597, 7781,
1546, 8244, 11336, 27584, 5233, 255, 18034, 3582, 41908, 39823,
171, 120, 234, 20949, 3254, 249, 46204, 2215, 224, 9722,
5823, 1546, 5233, 255, 18034, 14245, 11336, 8225, 13486, 1543,
1231, 1543]], device='cuda:0', dtype=torch.int32), 'text_len': tensor([52], device='cuda:0', dtype=torch.int32), 'prompt_text': tensor([[20690, 34961, 10756, 112, 1960, 8238, 49296, 9722, 10907, 23197,
16529, 11, 10187, 1654, 8861, 15348, 1231, 1543]],
device='cuda:0', dtype=torch.int32), 'prompt_text_len': tensor([18], device='cuda:0', dtype=torch.int32), 'llm_prompt_speech_token': tensor([[ 720, 282, 263, 414, 1382, 266, 266, 150, 554, 554, 185, 54,
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381, 241, 161, 414, 277, 289, 114, 3052, 1261, 694, 4, 386,
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3055, 247, 318, 470, 87, 1104, 164, 199, 2344, 686, 461, 28,
733, 452, 399, 36, 488, 488, 217, 3480, 3480, 3480, 69, 69,
75, 75, 440, 53, 1357, 1357, 588, 505, 589, 658, 658, 658,
658, 658, 658, 730, 730, 730, 730, 730, 730, 730, 658, 1089,
1089, 208, 6, 823, 2057, 745, 453, 59, 314, 21, 21, 407,
48, 325, 554, 457, 540, 690, 179, 400, 388, 157, 138, 597,
719, 522, 2188, 1923, 205, 519, 645, 355, 4085, 4085, 31, 401,
20, 343, 20, 606, 2444, 2444, 2444, 710, 710, 730, 730, 730,
730, 730, 730, 730, 730, 730, 730, 730, 730, 730]],
device='cuda:0', dtype=torch.int32), 'llm_prompt_speech_token_len': tensor([190], device='cuda:0', dtype=torch.int32), 'flow_prompt_speech_token': tensor([[ 720, 282, 263, 414, 1382, 266, 266, 150, 554, 554, 185, 54,
298, 208, 584, 674, 112, 258, 737, 517, 390, 376, 376, 417,
599, 109, 356, 346, 346, 346, 260, 302, 273, 1, 273, 273,
332, 2344, 2344, 56, 79, 3, 375, 186, 706, 359, 325, 732,
381, 241, 161, 414, 277, 289, 114, 3052, 1261, 694, 4, 386,
225, 484, 2989, 240, 235, 3406, 3406, 532, 337, 356, 3966, 457,
419, 2362, 3836, 3836, 243, 258, 258, 2437, 608, 28, 18, 267,
3055, 247, 318, 470, 87, 1104, 164, 199, 2344, 686, 461, 28,
733, 452, 399, 36, 488, 488, 217, 3480, 3480, 3480, 69, 69,
75, 75, 440, 53, 1357, 1357, 588, 505, 589, 658, 658, 658,
658, 658, 658, 730, 730, 730, 730, 730, 730, 730, 658, 1089,
1089, 208, 6, 823, 2057, 745, 453, 59, 314, 21, 21, 407,
48, 325, 554, 457, 540, 690, 179, 400, 388, 157, 138, 597,
719, 522, 2188, 1923, 205, 519, 645, 355, 4085, 4085, 31, 401,
20, 343, 20, 606, 2444, 2444, 2444, 710, 710, 730, 730, 730,
730, 730, 730, 730, 730, 730, 730, 730, 730, 730]],
device='cuda:0', dtype=torch.int32), 'flow_prompt_speech_token_len': tensor([190], device='cuda:0', dtype=torch.int32), 'prompt_speech_feat': tensor([[[ -6.6903, -7.3773, -7.4072, ..., -10.3271, -10.1945, -10.9227],
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[ -5.3841, -5.7884, -5.8842, ..., -6.4754, -6.1402, -6.5613],
...,
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[-11.5129, -11.5129, -11.5129, ..., -11.5129, -11.5129, -11.5129],
[-11.5129, -11.5129, -11.5129, ..., -11.5129, -11.5129, -11.5129]]],
device='cuda:0'), 'prompt_speech_feat_len': tensor([326], device='cuda:0', dtype=torch.int32), 'llm_embedding': tensor([[ 2.4396e+00, -8.5703e-01, 8.6329e-01, -6.4951e-02, -1.2687e+00,
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