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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/convert.py
+7 -4
View File
@@ -2,6 +2,7 @@
import os
import gguf
import torch
import logging
import argparse
from tqdm import tqdm
from safetensors.torch import load_file, save_file
@@ -54,7 +55,9 @@ class ModelHiDream(ModelTemplate):
)
]
keys_hiprec = [
".ff_i.gate.weight" # nn.parameter, can't load from BF16 ver
# nn.parameter, can't load from BF16 ver
".ff_i.gate.weight",
"img_emb.emb_pos"
]
class ModelHyVid(ModelTemplate):
@@ -275,7 +278,7 @@ def convert_file(path, dst_path=None, interact=True, overwrite=False):
# load & run model detection logic
state_dict = load_state_dict(path)
model_arch = detect_arch(state_dict)
print(f"* Architecture detected from input: {model_arch.arch}")
logging.info(f"* Architecture detected from input: {model_arch.arch}")
# detect & set dtype for output file
dtypes = [x.dtype for x in state_dict.values()]
@@ -317,8 +320,8 @@ def convert_file(path, dst_path=None, interact=True, overwrite=False):
fix = f"./fix_5d_tensors_{model_arch.arch}.safetensors"
if os.path.isfile(fix):
print(f"\n### Warning! Fix file found at '{fix}'")
print(f" you most likely need to run 'fix_5d_tensors.py' after quantization.")
logging.warning(f"\n### Warning! Fix file found at '{fix}'")
logging.warning(" you most likely need to run 'fix_5d_tensors.py' after quantization.")
return dst_path, model_arch
tools/lcpp.patch
+11 -5
View File
@@ -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;
}