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Modify scripts for fixing the deepspeed-transformer interface #69

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Merged
jeffra merged 1 commit into from
Dec 17, 2020
Merged

Modify scripts for fixing the deepspeed-transformer interface #69

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2 changes: 2 additions & 0 deletions BingBertSquad/nvidia_run_squad_deepspeed.py
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Expand Up @@ -741,6 +741,8 @@ def set_optimizer_params_grad(named_params_optimizer,
def main():
parser = get_argument_parser()

torch.distributed.init_process_group(backend='nccl')

# Include DeepSpeed configuration arguments
parser = deepspeed.add_config_arguments(parser)

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2 changes: 1 addition & 1 deletion BingBertSquad/run_squad_deepspeed.sh
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Expand Up @@ -32,7 +32,7 @@ else
GRAD_ACCUM_STEPS=$((PER_GPU_BATCH_SIZE/MAX_GPU_BATCH_SIZE))
fi
JOB_NAME="deepspeed_${NGPU}GPUs_${EFFECTIVE_BATCH_SIZE}batch_size"
config_json=onebit_deepspeed_bsz24_config.json
config_json=deepspeed_bsz24_config.json
run_cmd="deepspeed --num_nodes ${NUM_NODES} --num_gpus ${NGPU_PER_NODE} \
--master_port=${MASTER_PORT} \
--hostfile ${HOSTFILE} \
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2 changes: 1 addition & 1 deletion BingBertSquad/turing/nvidia_modelingpreln.py
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Expand Up @@ -529,14 +529,14 @@ def __init__(self, config, args):

cuda_config = DeepSpeedTransformerConfig(
batch_size=ds_config.train_micro_batch_size_per_gpu,
max_seq_length=args.max_seq_length,
hidden_size=config.hidden_size,
intermediate_size=config.intermediate_size,
heads=config.num_attention_heads,
attn_dropout_ratio=config.attention_probs_dropout_prob,
hidden_dropout_ratio=config.hidden_dropout_prob,
num_hidden_layers=config.num_hidden_layers,
initializer_range=config.initializer_range,
local_rank=args.local_rank,
seed=args.seed,
fp16=ds_config.fp16_enabled,
pre_layer_norm=True)
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1 change: 0 additions & 1 deletion bing_bert/nvidia/modelingpreln.py
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Expand Up @@ -574,7 +574,6 @@ def __init__(self, config, args, sparse_attention_config=None):
ds_config = get_deepspeed_config(args)
cuda_config = DeepSpeedTransformerConfig(
batch_size=ds_config.train_micro_batch_size_per_gpu,
max_seq_length=args.max_seq_length,
hidden_size=config.hidden_size,
intermediate_size=config.intermediate_size,
heads=config.num_attention_heads,
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