Commit 77bff386 authored by Deepak Narayanan's avatar Deepak Narayanan
Browse files

Use helper method in megatron/schedules.py as intended

parent f3be8ead

megatron/schedules.py

+3 −0
Original line number Diff line number Diff line
@@ -31,6 +31,9 @@ def get_forward_backward_func(): 
    if mpu.get_pipeline_model_parallel_world_size() > 1:

        if args.virtual_pipeline_model_parallel_size is not None:

            forward_backward_func = forward_backward_pipelining_with_interleaving

            assert get_num_microbatches() % args.pipeline_model_parallel_size == 0, \

                'number of microbatches is not divisible by pipeline-parallel ' \

                'size when using interleaved schedule'

        else:

            forward_backward_func = forward_backward_pipelining_without_interleaving

    else:

megatron/training.py

+3 −20
Original line number Diff line number Diff line
@@ -47,9 +47,7 @@ from megatron.utils import check_adlr_autoresume_termination 
from megatron.utils import unwrap_model

from megatron.data.data_samplers import build_pretraining_data_loader

from megatron.utils import calc_params_l2_norm

from megatron.schedules import forward_backward_no_pipelining

from megatron.schedules import forward_backward_pipelining_without_interleaving

from megatron.schedules import forward_backward_pipelining_with_interleaving

from megatron.schedules import get_forward_backward_func

from megatron.utils import report_memory
@@ -359,16 +357,7 @@ def train_step(forward_step_func, data_iterator, 
    else:

        optimizer.zero_grad()



    if mpu.get_pipeline_model_parallel_world_size() > 1:

        if args.virtual_pipeline_model_parallel_size is not None:

            forward_backward_func = forward_backward_pipelining_with_interleaving

            assert get_num_microbatches() % args.pipeline_model_parallel_size == 0, \

                'number of microbatches is not divisible by pipeline-parallel ' \

                'size when using interleaved schedule'

        else:

            forward_backward_func = forward_backward_pipelining_without_interleaving

    else:

        forward_backward_func = forward_backward_no_pipelining

    forward_backward_func = get_forward_backward_func()

    losses_reduced = forward_backward_func(

        forward_step_func, data_iterator, model,

        optimizer, timers, forward_only=False)
@@ -722,13 +711,7 @@ def evaluate(forward_step_func, data_iterator, model, verbose=False): 
                print_rank_0('Evaluating iter {}/{}'.format(iteration,

                                                            args.eval_iters))



            if mpu.get_pipeline_model_parallel_world_size() > 1:

                if args.virtual_pipeline_model_parallel_size is not None:

                    forward_backward_func = forward_backward_pipelining_with_interleaving

                else:

                    forward_backward_func = forward_backward_pipelining_without_interleaving

            else:

                forward_backward_func = forward_backward_no_pipelining

            forward_backward_func = get_forward_backward_func()

            loss_dicts = forward_backward_func(

                forward_step_func, data_iterator, model, optimizer=None,

                timers=None, forward_only=True)