From 0fb2c2d2a4c29b6b617780c46d5dff1d73fd5f96 Mon Sep 17 00:00:00 2001 From: Huiying Li Date: Wed, 31 Jan 2024 23:52:02 -0800 Subject: [PATCH] add diff images Signed-off-by: Huiying Li --- .../nlp/nemo_megatron/mcore_customization.rst | 38 +++++++++++++++++- docs/source/nlp/nemo_megatron/mr1.png | Bin 0 -> 74797 bytes docs/source/nlp/nemo_megatron/mr2.png | Bin 0 -> 73975 bytes 3 files changed, 36 insertions(+), 2 deletions(-) create mode 100644 docs/source/nlp/nemo_megatron/mr1.png create mode 100644 docs/source/nlp/nemo_megatron/mr2.png diff --git a/docs/source/nlp/nemo_megatron/mcore_customization.rst b/docs/source/nlp/nemo_megatron/mcore_customization.rst index e9b82a276cc59..3df88963a2495 100644 --- a/docs/source/nlp/nemo_megatron/mcore_customization.rst +++ b/docs/source/nlp/nemo_megatron/mcore_customization.rst @@ -13,14 +13,48 @@ The Mcore spec system requires a “specification” to define the initializatio Below is example from original spec system MR, we can see the extra parameter needed at initialization for mcore GPTModel (megatron/core/models/gpt/gpt_model.py): +.. image:: mr1.png + :alt: + :width: 400px -Where the required transformer_layer_spec (for mcore GPTModel layer) looks like: +Where the required transformer_layer_spec (for mcore GPTModel layer) looks like: :: + + gpt_layer_with_transformer_engine_spec = ModuleSpec( + module=TransformerLayer, + submodules=TransformerLayerSubmodules( + self_attention=ModuleSpec( + module=SelfAttention, + params={"attn_mask_type": AttnMaskType.causal}, + submodules=SelfAttentionSubmodules( + linear_qkv=TELayerNormColumnParallelLinear, + dot_product_attention=TEDotProductAttention, + linear_proj=TERowParallelLinear, + ), + ), + self_attn_bda=get_bias_dropout_add, + mlp=ModuleSpec( + module=MLP, + submodules=MLPSubmodules( + linear_fc1=TELayerNormColumnParallelLinear, linear_fc2=TERowParallelLinear, + ), + ), + mlp_bda=get_bias_dropout_add, + ), + ) The spec system introduces a new approach to module initialization. Here is a before-and-after comparison of self attention initialization (megatron/core/transformer/transformer_layer.py) as example: +.. image:: mr2.png + :alt: + :width: 500px + Instead of hard coding the ``SelfAttention`` class, we are using a ``build_module`` function to build our ``self.self_attention`` inside the layer. -The initialization of layer has become (megatron/core/transformer/transformer_block.py): +The initialization of layer has become (megatron/core/transformer/transformer_block.py): :: + + def build_layer(layer_spec, layer_number): + return build_module(layer_spec, config=self.config, layer_number=layer_number,) + instead of hard coding ``TransformerLayer`` class. diff --git a/docs/source/nlp/nemo_megatron/mr1.png b/docs/source/nlp/nemo_megatron/mr1.png new file mode 100644 index 0000000000000000000000000000000000000000..21c2d8fd351ab44b501e68ca15cb03974a5556b5 GIT binary patch literal 74797 zcmeFYhgVa}+Bl2_L6KqsrK3^=1OyC7M^TX8djRRZ_Y$ITQ0dY;NQY1&J#9UREKg-%(x?1qZ 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