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27 changes: 22 additions & 5 deletions gpt_builders.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,8 @@
get_gpt_decoder_layer_specs,
)
from megatron.core.models.gpt.experimental_attention_variant_module_specs import (
is_linear_attention_variant,
get_transformer_block_with_experimental_attention_variant_spec,
get_transformer_layer_with_experimental_attention_variant_spec,
)
from megatron.core.models.gpt.heterogeneous.heterogeneous_layer_specs import (
get_gpt_heterogeneous_layer_spec,
Expand Down Expand Up @@ -46,7 +47,13 @@ def gpt_builder(args, pre_process, post_process, vp_stage=None, config=None, pg_
else:
use_te = args.transformer_impl == "transformer_engine"

if args.num_experts or is_linear_attention_variant(args.experimental_attention_variant):
if args.experimental_attention_variant is not None:
transformer_layer_spec = (
get_transformer_block_with_experimental_attention_variant_spec(
config=config, vp_stage=vp_stage
)
)
elif args.num_experts:
assert not (config.transformer_impl == "inference_optimized")
# Define the decoder block spec
transformer_layer_spec = get_gpt_decoder_block_spec(
Expand All @@ -70,9 +77,19 @@ def gpt_builder(args, pre_process, post_process, vp_stage=None, config=None, pg_
mtp_transformer_layer_spec = import_module(args.spec)
else:
# Define the decoder block spec
decoder_layer_specs = get_gpt_decoder_layer_specs(
config, use_transformer_engine=use_te, normalization=args.normalization, qk_l2_norm=args.qk_l2_norm, vp_stage=vp_stage
)
if args.experimental_attention_variant is not None:
decoder_layer_specs = (
get_transformer_layer_with_experimental_attention_variant_spec(
config=config
)
)
else:
decoder_layer_specs = get_gpt_decoder_layer_specs(
config,
use_transformer_engine=use_te,
normalization=args.normalization,
qk_l2_norm=args.qk_l2_norm,
)
mtp_transformer_layer_spec = decoder_layer_specs[-1]
# Use spec of the last layer in decoder block as spec of the transformer layer in MTP
mtp_block_spec = get_gpt_mtp_block_spec(
Expand Down
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