wehub-resource-sync
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
# Copyright (c) Microsoft Corporation.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
# DeepSpeed Team
|
|
|
|
# Create a container object to save model-specific tensors using the policy file above.
|
|
|
|
from deepspeed.inference.v2.model_implementations.common_parameters import *
|
|
from deepspeed.inference.v2.model_implementations.layer_container_base import LayerContainer
|
|
|
|
|
|
class MixtralTransformerContainer(LayerContainer):
|
|
|
|
qkv_w: UnfusedQKVParameter
|
|
attn_out_w: AttentionOutputParameter
|
|
moe_gate: MoEGatingWeightParameter
|
|
moe_mlp_1: UnfusedMoEGatedMLPParameter
|
|
moe_mlp_2: UnfusedMoEMLP2Parameter
|
|
attn_norm_gamma: NormParameter
|
|
mlp_norm_gamma: NormParameter
|
|
|
|
PARAM_MAPPING = {
|
|
"input_layernorm.weight": "attn_norm_gamma.params",
|
|
"post_attention_layernorm.weight": "mlp_norm_gamma.params",
|
|
"self_attn.q_proj.weight": "qkv_w.q_params",
|
|
"self_attn.k_proj.weight": "qkv_w.k_params",
|
|
"self_attn.v_proj.weight": "qkv_w.v_params",
|
|
"self_attn.o_proj.weight": "attn_out_w.params",
|
|
"block_sparse_moe.gate.weight": "moe_gate.params",
|
|
"block_sparse_moe.experts.*.w1.weight": "moe_mlp_1.gating_experts",
|
|
"block_sparse_moe.experts.*.w3.weight": "moe_mlp_1.up_experts",
|
|
"block_sparse_moe.experts.*.w2.weight": "moe_mlp_2.experts",
|
|
}
|
|
|
|
|
|
class MixtralNonTransformerContainer(LayerContainer):
|
|
|
|
word_emb: EmbeddingParameter
|
|
word_unembed: UnembedParameter
|
|
final_norm: NormParameter
|
|
|
|
PARAM_MAPPING = {
|
|
"model.embed_tokens.weight": "word_emb.params",
|
|
"lm_head.weight": "word_unembed.params",
|
|
"model.norm.weight": "final_norm.params",
|
|
}
|