Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
README.md 4.61 KB
Newer Older
mashun1's avatar
v1  
mashun1 committed
1
2
3
4
5
6
7
8 
# llama.cpp/examples/eval-callback

A simple example which demonstrates how to use callback during the inference.
It simply prints to the console all operations and tensor data.

Usage:

```shell
xuxzh1's avatar
init  
xuxzh1 committed
9 
llama-eval-callback \
mashun1's avatar
v1  
mashun1 committed
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95 
  --hf-repo ggml-org/models \
  --hf-file phi-2/ggml-model-q4_0.gguf \
  --model phi-2-q4_0.gguf \
  --prompt hello \
  --seed 42 \
  -ngl 33
```

Will print:

```shell
llm_load_tensors: offloaded 33/33 layers to GPU
...
llama_new_context_with_model: n_ctx      = 512
...
llama_new_context_with_model:      CUDA0 compute buffer size =   105.00 MiB
llama_new_context_with_model:  CUDA_Host compute buffer size =     6.01 MiB
llama_new_context_with_model: graph nodes  = 1225
llama_new_context_with_model: graph splits = 2
ggml_debug:                 inp_embd = (f32)   GET_ROWS(token_embd.weight{2560, 51200, 1, 1}, inp_tokens{1, 1, 1, 1}}) = {2560, 1, 1, 1}
                                     [
                                      [
                                       [ -0.0181,   0.0272,   0.0272, ...],
                                      ],
                                     ]
ggml_debug:                   norm-0 = (f32)       NORM(CUDA0#inp_embd#0{2560, 1, 1, 1}, }) = {2560, 1, 1, 1}
                                     [
                                      [
                                       [ -0.6989,   1.0636,   1.0636, ...],
                                      ],
                                     ]
ggml_debug:                 norm_w-0 = (f32)        MUL(norm-0{2560, 1, 1, 1}, blk.0.attn_norm.weight{2560, 1, 1, 1}}) = {2560, 1, 1, 1}
                                     [
                                      [
                                       [ -0.1800,   0.2817,   0.2632, ...],
                                      ],
                                     ]
ggml_debug:              attn_norm-0 = (f32)        ADD(norm_w-0{2560, 1, 1, 1}, blk.0.attn_norm.bias{2560, 1, 1, 1}}) = {2560, 1, 1, 1}
                                     [
                                      [
                                       [ -0.1863,   0.2970,   0.2604, ...],
                                      ],
                                     ]
ggml_debug:                   wqkv-0 = (f32)    MUL_MAT(blk.0.attn_qkv.weight{2560, 7680, 1, 1}, attn_norm-0{2560, 1, 1, 1}}) = {7680, 1, 1, 1}
                                     [
                                      [
                                       [ -1.1238,   1.2876,  -1.8086, ...],
                                      ],
                                     ]
ggml_debug:                   bqkv-0 = (f32)        ADD(wqkv-0{7680, 1, 1, 1}, blk.0.attn_qkv.bias{7680, 1, 1, 1}}) = {7680, 1, 1, 1}
                                     [
                                      [
                                       [ -1.1135,   1.4604,  -1.9226, ...],
                                      ],
                                     ]
ggml_debug:            bqkv-0 (view) = (f32)       VIEW(bqkv-0{7680, 1, 1, 1}, }) = {2560, 1, 1, 1}
                                     [
                                      [
                                       [ -1.1135,   1.4604,  -1.9226, ...],
                                      ],
                                     ]
ggml_debug:                   Qcur-0 = (f32)       CONT(bqkv-0 (view){2560, 1, 1, 1}, }) = {2560, 1, 1, 1}
                                     [
                                      [
                                       [ -1.1135,   1.4604,  -1.9226, ...],
                                      ],
                                     ]
ggml_debug:        Qcur-0 (reshaped) = (f32)    RESHAPE(Qcur-0{2560, 1, 1, 1}, }) = {80, 32, 1, 1}
                                     [
                                      [
                                       [ -1.1135,   1.4604,  -1.9226, ...],
                                       [ -0.3608,   0.5076,  -1.8866, ...],
                                       [  1.7643,   0.0273,  -2.1065, ...],
                                       ...
                                      ],
                                     ]
ggml_debug:                   Qcur-0 = (f32)       ROPE(Qcur-0 (reshaped){80, 32, 1, 1}, CUDA0#inp_pos#0{1, 1, 1, 1}}) = {80, 32, 1, 1}
                                     [
                                      [
                                       [ -1.1135,   1.4604,  -1.9226, ...],
                                       [ -0.3608,   0.5076,  -1.8866, ...],
                                       [  1.7643,   0.0273,  -2.1065, ...],
                                       ...
                                      ],
                                     ]
```