@@ -663,22 +663,14 @@ ggml_tensor * llm_graph_context::build_ffn(
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{
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// Split into two equal parts
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int64_t split_point = cur->ne [0 ] / 2 ;
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- ggml_tensor * output_ffn_up = ggml_cont (ctx0, ggml_view_2d (
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- ctx0, cur, split_point,
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- cur->ne [1 ], cur->nb [1 ], 0
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- ));
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- ggml_tensor * output_ffn_gate = ggml_cont (ctx0, ggml_view_2d (
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- ctx0, cur, split_point,
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- cur->ne [1 ], cur->nb [1 ],
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- split_point * ggml_element_size (cur)
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- ));
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-
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- // Apply GELU activation function to the first part
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- output_ffn_up = ggml_gelu (ctx0, output_ffn_up);
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- cb (output_ffn_up, " ffn_gelu" , il);
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-
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- // Element-wise multiplication between the activated part and the gate part
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- cur = ggml_mul (ctx0, output_ffn_up, output_ffn_gate);
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+ // TODO: these conts should not be needed
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+ ggml_tensor * x0 = ggml_cont (ctx0, ggml_view_2d (ctx0, cur, split_point, cur->ne [1 ], cur->nb [1 ], 0 ));
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+ ggml_tensor * x1 = ggml_cont (ctx0, ggml_view_2d (ctx0, cur, split_point, cur->ne [1 ], cur->nb [1 ], split_point * ggml_element_size (cur)));
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+
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+ x0 = ggml_gelu (ctx0, x0);
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+ cb (x0, " ffn_gelu" , il);
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+
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+ cur = ggml_mul (ctx0, x0, x1);
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cb (cur, " ffn_geglu" , il);
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} break ;
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}
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