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9 changes: 8 additions & 1 deletion paddleformers/transformers/glm4_moe/modeling.py
Original file line number Diff line number Diff line change
Expand Up @@ -304,6 +304,9 @@ def __init__(self, config, num_experts, expert_hidden_size, **kwargs):
)
self.expert_usage.stop_gradient = True

# weight and e_score_correction_bias do not need to be cast to low precision
self._cast_to_low_precision = False

def forward(self, hidden_states):
"""
Args:
Expand Down Expand Up @@ -340,12 +343,15 @@ def __init__(self, config: Glm4MoeConfig):

self.weight = paddle.create_parameter(
shape=[self.n_routed_experts, config.hidden_size],
dtype="bfloat16",
dtype="float32",
default_initializer=paddle.nn.initializer.Uniform(),
)

self.register_buffer("e_score_correction_bias", paddle.zeros((self.n_routed_experts,), dtype=paddle.float32))

# weight and e_score_correction_bias do not need to be cast to low precision
self._cast_to_low_precision = False

@paddle.no_grad()
def get_topk_indices(self, scores):
scores_for_choice = scores.reshape([-1, self.n_routed_experts]) + self.e_score_correction_bias.unsqueeze(0)
Expand Down Expand Up @@ -588,6 +594,7 @@ class Glm4MoePreTrainedModel(PretrainedModel):
config: Glm4MoeConfig
config_class = Glm4MoeConfig
base_model_prefix = "model"
_keep_in_fp32_modules = ["mlp.gate.weight", "e_score_correction_bias"]
transpose_weight_keys = ["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"]

@classmethod
Expand Down
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