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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2024-06-25 20:01:43,998] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2024-06-25 20:01:44,318] torch.distributed.elastic.multiprocessing.redirects: [WARNING] NOTE: Redirects are currently not supported in Windows or MacOs.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loading model...\n",
"[2024-06-25 20:02:01,663] [INFO] [logging.py:96:log_dist] [Rank -1] DeepSpeed info: version=0.14.0+ce78a63, git-hash=ce78a63, git-branch=master\n",
"[2024-06-25 20:02:01,664] [WARNING] [config_utils.py:69:_process_deprecated_field] Config parameter replace_method is deprecated. This parameter is no longer needed, please remove from your call to DeepSpeed-inference\n",
"[2024-06-25 20:02:01,665] [WARNING] [config_utils.py:69:_process_deprecated_field] Config parameter mp_size is deprecated use tensor_parallel.tp_size instead\n",
"[2024-06-25 20:02:01,666] [INFO] [logging.py:96:log_dist] [Rank -1] quantize_bits = 8 mlp_extra_grouping = False, quantize_groups = 1\n",
"[2024-06-25 20:02:01,900] [INFO] [logging.py:96:log_dist] [Rank -1] DeepSpeed-Inference config: {'layer_id': 0, 'hidden_size': 1024, 'intermediate_size': 4096, 'heads': 16, 'num_hidden_layers': -1, 'dtype': torch.float32, 'pre_layer_norm': True, 'norm_type': <NormType.LayerNorm: 1>, 'local_rank': -1, 'stochastic_mode': False, 'epsilon': 1e-05, 'mp_size': 1, 'scale_attention': True, 'triangular_masking': True, 'local_attention': False, 'window_size': 1, 'rotary_dim': -1, 'rotate_half': False, 'rotate_every_two': True, 'return_tuple': True, 'mlp_after_attn': True, 'mlp_act_func_type': <ActivationFuncType.GELU: 1>, 'specialized_mode': False, 'training_mp_size': 1, 'bigscience_bloom': False, 'max_out_tokens': 1024, 'min_out_tokens': 1, 'scale_attn_by_inverse_layer_idx': False, 'enable_qkv_quantization': False, 'use_mup': False, 'return_single_tuple': False, 'set_empty_params': False, 'transposed_mode': False, 'use_triton': False, 'triton_autotune': False, 'num_kv': -1, 'rope_theta': 10000}\n"
]
}
],
"source": [
"from models.TTS_utils import load_manual_xtts_v2\n",
"config_path = \"test/config.json\"\n",
"model_path = \"test\"\n",
"\n",
"xtts_v2_model = load_manual_xtts_v2(config_path, model_path)\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inference...\n",
"No more text to process\n",
"Inference...\n",
"No more text to process\n"
]
}
],
"source": [
"from models.TTS_utils import stream_prod\n",
"stream_prod(xtts_v2_model, \"record_temp.json\", \"audio_segments/\")\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "capstone",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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