Commit 9b0083ea authored by Vijay Korthikanti's avatar Vijay Korthikanti
Browse files

Incrementing checkpoint version to 2.0

parent ee327acd

megatron/checkpointing.py

+1 −1
Original line number Diff line number Diff line
@@ -101,7 +101,7 @@ def save_checkpoint(iteration, model, optimizer, lr_scheduler): 
        # Arguments, iteration, and model.

        state_dict = {}

        state_dict['args'] = args

        state_dict['checkpoint_version'] = 1.0

        state_dict['checkpoint_version'] = 2.0

        state_dict['iteration'] = iteration

        state_dict['model'] = model.state_dict_for_save_checkpoint()

megatron/model/transformer.py

+22 −10
Original line number Diff line number Diff line
@@ -172,19 +172,28 @@ class ParallelSelfAttention(MegatronModule): 
            init_method=output_layer_init_method,

            skip_bias_add=True)



    def _transpose_last_dim(self, mixed_layer, num_splits):

    def _transpose_last_dim(self, mixed_layer, num_splits, num_splits_index):

        """[s, b, num_splits * np * hn] 

        -->(view) [s, b, num_splits, np, hn] 

        -->(tranpose) [s, b, np, num_splits, hn] 

        -->(view) [s, b, np * num_splits * hn] """



        input_shape = mixed_layer.size();

        if num_splits_index == 0:

            intermediate_shape = input_shape[:-1] +\

                (num_splits, self.num_attention_heads_per_partition,

                 self.hidden_size_per_attention_head)



            mixed_layer = mixed_layer.view(*intermediate_shape)

            mixed_layer = mixed_layer.transpose(-2, -3).contiguous()

        else:

            assert num_splits_index == 2

            intermediate_shape = input_shape[:-1] +\

                (self.num_attention_heads_per_partition,

                 self.hidden_size_per_attention_head, num_splits)



            mixed_layer = mixed_layer.view(*intermediate_shape)

            mixed_layer = mixed_layer.transpose(-1, -2).contiguous()

        mixed_layer = mixed_layer.view(*input_shape)

        

        return mixed_layer
@@ -201,10 +210,13 @@ class ParallelSelfAttention(MegatronModule): 
        mixed_x_layer, _ = self.query_key_value(hidden_states)



        checkpoint_version = get_checkpoint_version()

        if checkpoint_version is not None and \

           checkpoint_version == 0:

        if checkpoint_version is not None:

           if checkpoint_version == 0:

               # [s, b, (3 * np * hn)] --> [s, b, (np * 3 * hn)]

            mixed_x_layer = self._transpose_last_dim(mixed_x_layer, 3)

               mixed_x_layer = self._transpose_last_dim(mixed_x_layer, 3, 0)

           elif checkpoint_version == 1:

               # [s, b, (np * hn * 3)] --> [s, b, (np * 3 * hn)]

               mixed_x_layer = self._transpose_last_dim(mixed_x_layer, 3, 2)



        # [sq, b, (np * 3 * hn)] --> [sq, b, np, 3 * hn]

        new_tensor_shape = mixed_x_layer.size()[:-1] + \