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Wan FLF2V convert logic

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Forgot to commit this, also fixes print -> logging
This commit is contained in:
City
2025-04-26 21:16:43 +02:00
parent 54a4854e0c
commit 3d673c5c09
2 changed files with 18 additions and 9 deletions
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tools/lcpp.patch
+11 -5
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@@ -39,7 +39,7 @@ index b16c462f..6d1568f1 100644
const int idx = gguf_find_tensor(ctx, name);
if (idx < 0) {
diff --git a/src/llama.cpp b/src/llama.cpp
index 24e1f1f0..5e944837 100644
index 24e1f1f0..39045ca5 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -205,6 +205,15 @@ enum llm_arch {
@@ -255,7 +255,7 @@ index 24e1f1f0..5e944837 100644
}
size_t total_size_org = 0;
@@ -18547,6 +18716,45 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18547,6 +18716,51 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
ctx_outs[i_split] = gguf_init_empty();
}
gguf_add_tensor(ctx_outs[i_split], tensor);
@@ -297,11 +297,17 @@ index 24e1f1f0..5e944837 100644
+ gguf_set_tensor_ndim(ctx_outs[i_split], tensor->name, n_dim);
+ LLAMA_LOG_INFO("\n%s: Correcting shape for Wan: [key:%s]\n", __func__, tensor->name);
+ }
+ // FLF2V model only
+ if (name == "img_emb.emb_pos") {
+ const int n_dim = 3;
+ gguf_set_tensor_ndim(ctx_outs[i_split], tensor->name, n_dim);
+ LLAMA_LOG_INFO("\n%s: Correcting shape for Wan FLF2V: [key:%s]\n", __func__, tensor->name);
+ }
+ }
}
// Set split info if needed
@@ -18647,6 +18855,92 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18647,6 +18861,92 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
// do not quantize relative position bias (T5)
quantize &= name.find("attn_rel_b.weight") == std::string::npos;
@@ -394,7 +400,7 @@ index 24e1f1f0..5e944837 100644
enum ggml_type new_type;
void * new_data;
size_t new_size;
@@ -18655,6 +18949,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18655,6 +18955,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
new_type = default_type;
// get more optimal quantization type based on the tensor shape, layer, etc.
@@ -404,7 +410,7 @@ index 24e1f1f0..5e944837 100644
if (!params->pure && ggml_is_quantized(default_type)) {
new_type = llama_tensor_get_type(qs, new_type, tensor, ftype);
}
@@ -18664,6 +18961,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
@@ -18664,6 +18967,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
if (params->output_tensor_type < GGML_TYPE_COUNT && strcmp(tensor->name, "output.weight") == 0) {
new_type = params->output_tensor_type;
}