auto frontend

游雁

2024-06-06 d6fedbfa77abee8b31340dc1a7aa344b84c8134c

auto frontend

 examples/industrial_data_pretraining/deepspeed/ds_stage1.json

New file
@@ -0,0 +1,33 @@
{
  "train_micro_batch_size_per_gpu": 1,
  "gradient_accumulation_steps": 1,
  "steps_per_print": 100,
  "gradient_clipping": 5,
  "fp16": {
    "enabled": false,
    "auto_cast": false,
    "loss_scale": 0,
    "initial_scale_power": 16,
    "loss_scale_window": 1000,
    "hysteresis": 2,
    "consecutive_hysteresis": false,
    "min_loss_scale": 1
  },
  "bf16": {
   "enabled": true
  },
  "zero_force_ds_cpu_optimizer": false,
  "zero_optimization": {
    "stage": 1,
    "offload_optimizer": {
      "device": "none",
      "pin_memory": true
    },
    "allgather_partitions": true,
    "allgather_bucket_size": 5e8,
    "overlap_comm": true,
    "reduce_scatter": true,
    "reduce_bucket_size": 5e8,
    "contiguous_gradients" : true
  }
}

 examples/industrial_data_pretraining/deepspeed/ds_stage2.json

New file
@@ -0,0 +1,33 @@
{
  "train_micro_batch_size_per_gpu": 1,
  "gradient_accumulation_steps": 1,
  "steps_per_print": 100,
  "gradient_clipping": 5,
  "fp16": {
    "enabled": false,
    "auto_cast": false,
    "loss_scale": 0,
    "initial_scale_power": 16,
    "loss_scale_window": 1000,
    "hysteresis": 2,
    "consecutive_hysteresis": false,
    "min_loss_scale": 1
  },
  "bf16": {
   "enabled": true
  },
  "zero_force_ds_cpu_optimizer": false,
  "zero_optimization": {
    "stage": 2,
    "offload_optimizer": {
      "device": "none",
      "pin_memory": true
    },
    "allgather_partitions": true,
    "allgather_bucket_size": 5e8,
    "overlap_comm": false,
    "reduce_scatter": true,
    "reduce_bucket_size": 5e8,
    "contiguous_gradients" : true
  }
}

 examples/industrial_data_pretraining/deepspeed/ds_stage3.json

New file
@@ -0,0 +1,41 @@
{
  "train_micro_batch_size_per_gpu": 1,
  "gradient_accumulation_steps": 1,
  "steps_per_print": 100,
  "gradient_clipping": 5,
  "fp16": {
    "enabled": false,
    "auto_cast": false,
    "loss_scale": 0,
    "initial_scale_power": 16,
    "loss_scale_window": 1000,
    "hysteresis": 2,
    "consecutive_hysteresis": false,
    "min_loss_scale": 1
  },
  "bf16": {
   "enabled": true
  },
  "zero_force_ds_cpu_optimizer": false,
  "zero_optimization": {
    "stage": 3,
    "offload_optimizer": {
      "device": "none",
      "pin_memory": true
    },
    "offload_param": {
      "device": "none",
      "pin_memory": true
    },
    "allgather_partitions": true,
    "allgather_bucket_size": 5e8,
    "overlap_comm": true,
    "reduce_scatter": true,
    "reduce_bucket_size": 5e8,
    "contiguous_gradients" : true,
    "stage3_max_live_parameters": 1e9,
    "stage3_max_reuse_distance": 1e9,
    "stage3_prefetch_bucket_size": 5e8,
    "stage3_param_persistence_threshold": 1e5
  }
}

 examples/industrial_data_pretraining/deepspeed/ds_z0_config.json

New file
@@ -0,0 +1,28 @@
{
  "train_batch_size": "auto",
  "train_micro_batch_size_per_gpu": "auto",
  "gradient_accumulation_steps": "auto",
  "gradient_clipping": "auto",
  "zero_allow_untested_optimizer": true,
  "fp16": {
    "enabled": "auto",
    "loss_scale": 0,
    "loss_scale_window": 1000,
    "initial_scale_power": 16,
    "hysteresis": 2,
    "min_loss_scale": 1
  },
  "bf16": {
    "enabled": "auto"
  },
  "zero_optimization": {
    "stage": 0,
    "allgather_partitions": true,
    "allgather_bucket_size": 5e8,
    "overlap_comm": true,
    "reduce_scatter": true,
    "reduce_bucket_size": 5e8,
    "contiguous_gradients": true,
    "round_robin_gradients": true
  }
}

 examples/industrial_data_pretraining/deepspeed/ds_z2_config.json

New file
@@ -0,0 +1,28 @@
{
  "train_batch_size": "auto",
  "train_micro_batch_size_per_gpu": "auto",
  "gradient_accumulation_steps": "auto",
  "gradient_clipping": "auto",
  "zero_allow_untested_optimizer": true,
  "fp16": {
    "enabled": "auto",
    "loss_scale": 0,
    "loss_scale_window": 1000,
    "initial_scale_power": 16,
    "hysteresis": 2,
    "min_loss_scale": 1
  },
  "bf16": {
    "enabled": "auto"
  },
  "zero_optimization": {
    "stage": 2,
    "allgather_partitions": true,
    "allgather_bucket_size": 5e8,
    "overlap_comm": true,
    "reduce_scatter": true,
    "reduce_bucket_size": 5e8,
    "contiguous_gradients": true,
    "round_robin_gradients": true
  }
}

 examples/industrial_data_pretraining/deepspeed/ds_z2_offload_config.json

New file
@@ -0,0 +1,32 @@
{
  "train_batch_size": "auto",
  "train_micro_batch_size_per_gpu": "auto",
  "gradient_accumulation_steps": "auto",
  "gradient_clipping": "auto",
  "zero_allow_untested_optimizer": true,
  "fp16": {
    "enabled": "auto",
    "loss_scale": 0,
    "loss_scale_window": 1000,
    "initial_scale_power": 16,
    "hysteresis": 2,
    "min_loss_scale": 1
  },
  "bf16": {
    "enabled": "auto"
  },
  "zero_optimization": {
    "stage": 2,
    "offload_optimizer": {
      "device": "cpu",
      "pin_memory": true
    },
    "allgather_partitions": true,
    "allgather_bucket_size": 5e8,
    "overlap_comm": true,
    "reduce_scatter": true,
    "reduce_bucket_size": 5e8,
    "contiguous_gradients": true,
    "round_robin_gradients": true
  }
}

 examples/industrial_data_pretraining/deepspeed/ds_z3_config.json

New file
@@ -0,0 +1,30 @@
{
  "train_batch_size": "auto",
  "train_micro_batch_size_per_gpu": "auto",
  "gradient_accumulation_steps": "auto",
  "gradient_clipping": "auto",
  "zero_allow_untested_optimizer": true,
  "fp16": {
    "enabled": "auto",
    "loss_scale": 0,
    "loss_scale_window": 1000,
    "initial_scale_power": 16,
    "hysteresis": 2,
    "min_loss_scale": 1
  },
  "bf16": {
    "enabled": "auto"
  },
  "zero_optimization": {
    "stage": 3,
    "overlap_comm": true,
    "contiguous_gradients": true,
    "sub_group_size": 1e9,
    "reduce_bucket_size": "auto",
    "stage3_prefetch_bucket_size": "auto",
    "stage3_param_persistence_threshold": "auto",
    "stage3_max_live_parameters": 1e9,
    "stage3_max_reuse_distance": 1e9,
    "stage3_gather_16bit_weights_on_model_save": true
  }
}

 examples/industrial_data_pretraining/deepspeed/ds_z3_offload_config.json

New file
@@ -0,0 +1,38 @@
{
  "train_batch_size": "auto",
  "train_micro_batch_size_per_gpu": "auto",
  "gradient_accumulation_steps": "auto",
  "gradient_clipping": "auto",
  "zero_allow_untested_optimizer": true,
  "fp16": {
    "enabled": "auto",
    "loss_scale": 0,
    "loss_scale_window": 1000,
    "initial_scale_power": 16,
    "hysteresis": 2,
    "min_loss_scale": 1
  },
  "bf16": {
    "enabled": "auto"
  },
  "zero_optimization": {
    "stage": 3,
    "offload_optimizer": {
      "device": "cpu",
      "pin_memory": true
    },
    "offload_param": {
      "device": "cpu",
      "pin_memory": true
    },
    "overlap_comm": true,
    "contiguous_gradients": true,
    "sub_group_size": 1e9,
    "reduce_bucket_size": "auto",
    "stage3_prefetch_bucket_size": "auto",
    "stage3_param_persistence_threshold": "auto",
    "stage3_max_live_parameters": 1e9,
    "stage3_max_reuse_distance": 1e9,
    "stage3_gather_16bit_weights_on_model_save": true
  }
}

 funasr/models/llm_asr/model.py

@@ -476,14 +476,8 @@
        # audio_adaptor
        encoder_out, encoder_out_lens = self.audio_adaptor(encoder_out, encoder_out_lens)

        input_ids[input_ids == -1] = 0
        input_ids[input_ids == -100] = 0
        if hasattr(self.llm.model, "embed_tokens"):
            inputs_embeds = self.llm.model.embed_tokens(input_ids)
        elif hasattr(self.llm.model.model, "embed_tokens"):
            inputs_embeds = self.llm.model.model.embed_tokens(input_ids)
        else:
            inputs_embeds = self.llm.model.model.model.embed_tokens(input_ids)
        input_ids[input_ids < 0] = 0
        inputs_embeds = self.llm.model.get_input_embeddings()(input_ids)

        batch_size, token_num, dims = inputs_embeds.shape
        _, l, _ = encoder_out.shape
@@ -492,7 +486,7 @@
            inputs_embeds[batch_idx, fbank_beg_idx : fbank_beg_idx + l, :] = encoder_out[
                batch_idx, :l, :
            ]

        labels_ids[labels_ids == -1] = -100
        model_outputs = self.llm(
            inputs_embeds=inputs_embeds, attention_mask=attention_mask, labels=labels_ids
        )