text stringlengths 1 93.6k |
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model._input_pipe_partitioned = [True, False, True, False, False]
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return model
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def get_batch(data_iterator):
|
args = get_args()
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tokenizer = get_tokenizer()
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# Items and their type.
|
keys = [
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"contexts",
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"targets",
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"labels",
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"ctx_eod_mask",
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]
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datatype = torch.int64
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if data_iterator is not None:
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data = next(data_iterator)
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else:
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data = None
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# Broadcast data.
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data_b = mpu.broadcast_data(keys, data, datatype)
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# Unpack.
|
contexts = data_b['contexts'].long()
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targets = data_b['targets'].long()
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labels = data_b['labels'].long()
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ctx_eod_mask = data_b['ctx_eod_mask'].long()
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# Unpack.
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enc_token_ids = contexts
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dec_token_ids = targets
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# Get the masks and postition ids.
|
enc_attn_mask, enc_pos_ids, dec_attn_mask, dec_pos_ids, cross_attn_mask, loss_mask = get_masks_and_position_ids_for_t5(
|
args,
|
tokenizer,
|
contexts,
|
targets,
|
labels,
|
ctx_eod_mask,
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args.reset_position_ids,
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args.reset_attention_mask)
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if args.fp16:
|
# cast to fp16 because pipeline parallelism skips the FP16 wrapper.
|
return fp32_to_fp16((enc_token_ids, enc_pos_ids, enc_attn_mask,
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dec_token_ids, dec_pos_ids, dec_attn_mask,
|
cross_attn_mask)), fp32_to_fp16((labels, loss_mask))
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else:
|
return (enc_token_ids, enc_pos_ids, enc_attn_mask,
|
dec_token_ids, dec_pos_ids, dec_attn_mask,
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cross_attn_mask), (labels, loss_mask)
|
def get_batch_pipe(data):
|
args = get_args()
|
tokenizer = get_tokenizer()
|
# Items and their type.
|
keys = [
|
"contexts",
|
"targets",
|
"labels",
|
"ctx_eod_mask",
|
]
|
datatype = torch.int64
|
# Broadcast data.
|
data_b = mpu.broadcast_data(keys, data, datatype)
|
# Unpack.
|
contexts = data_b['contexts'].long()
|
targets = data_b['targets'].long()
|
labels = data_b['labels'].long()
|
ctx_eod_mask = data_b['ctx_eod_mask'].long()
|
# Unpack.
|
enc_token_ids = contexts
|
dec_token_ids = targets
|
# Get the masks and postition ids.
|
enc_attn_mask, enc_pos_ids, dec_attn_mask, dec_pos_ids, cross_attn_mask, loss_mask = get_masks_and_position_ids_for_t5(
|
args,
|
tokenizer,
|
contexts,
|
targets,
|
labels,
|
ctx_eod_mask,
|
args.reset_position_ids,
|
args.reset_attention_mask)
|
if args.fp16:
|
# cast to fp16 because pipeline parallelism skips the FP16 wrapper.
|
return fp32_to_fp16((enc_token_ids, enc_pos_ids, enc_attn_mask,
|
dec_token_ids, dec_pos_ids, dec_attn_mask,
|
cross_attn_mask)), fp32_to_fp16((labels, loss_mask))
|
else:
|
return (enc_token_ids, enc_pos_ids, enc_attn_mask,
|
dec_token_ids, dec_pos_ids, dec_attn_mask,
|
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