|
13 | 13 | from __future__ import absolute_import
|
14 | 14 |
|
15 | 15 | import os
|
| 16 | +import json |
16 | 17 |
|
17 | 18 | from utils import file_utils
|
18 | 19 |
|
19 | 20 | resources_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'resources'))
|
| 21 | +model_gpu_context_dir = os.path.join(resources_path, 'model_gpu_context') |
20 | 22 | mnist_path = os.path.join(resources_path, 'mnist')
|
21 |
| -resnet18_path = os.path.join(resources_path, 'resnet18') |
22 | 23 | data_dir = os.path.join(mnist_path, 'data')
|
23 | 24 | training_dir = os.path.join(data_dir, 'training')
|
24 |
| -cpu_sub_dir = 'model_cpu' |
25 |
| -gpu_sub_dir = 'model_gpu' |
26 |
| -eia_sub_dir = 'model_eia' |
27 |
| -code_sub_dir = 'code' |
28 |
| -default_sub_dir = 'default_model' |
29 |
| -default_sub_eia_dir = 'default_model_eia' |
30 |
| -default_sub_traced_resnet_dir = 'default_traced_resnet' |
31 | 25 |
|
32 |
| -model_cpu_dir = os.path.join(mnist_path, cpu_sub_dir) |
33 |
| -mnist_cpu_script = os.path.join(model_cpu_dir, code_sub_dir, 'mnist.py') |
34 |
| -model_cpu_tar = file_utils.make_tarfile(mnist_cpu_script, |
35 |
| - os.path.join(model_cpu_dir, "torch_model.pth"), |
36 |
| - model_cpu_dir, |
37 |
| - script_path="code") |
| 26 | +all_models_info_json = os.path.abspath(os.path.join(os.path.dirname(__file__), 'all_models_info.json')) |
38 | 27 |
|
39 |
| -model_cpu_1d_dir = os.path.join(model_cpu_dir, '1d') |
40 |
| -mnist_1d_script = os.path.join(model_cpu_1d_dir, code_sub_dir, 'mnist_1d.py') |
41 |
| -model_cpu_1d_tar = file_utils.make_tarfile(mnist_1d_script, |
42 |
| - os.path.join(model_cpu_1d_dir, "torch_model.pth"), |
43 |
| - model_cpu_1d_dir, |
44 |
| - script_path="code") |
| 28 | +with open(all_models_info_json, 'r') as json_file: |
| 29 | + all_models_info = json.load(json_file) |
45 | 30 |
|
46 |
| -model_gpu_dir = os.path.join(mnist_path, gpu_sub_dir) |
47 |
| -mnist_gpu_script = os.path.join(model_gpu_dir, code_sub_dir, 'mnist.py') |
48 |
| -model_gpu_tar = file_utils.make_tarfile(mnist_gpu_script, |
49 |
| - os.path.join(model_gpu_dir, "torch_model.pth"), |
50 |
| - model_gpu_dir, |
51 |
| - script_path="code") |
| 31 | +for model_name in all_models_info.keys(): |
| 32 | + model_info = all_models_info[model_name] |
52 | 33 |
|
53 |
| -model_eia_dir = os.path.join(mnist_path, eia_sub_dir) |
54 |
| -mnist_eia_script = os.path.join(model_eia_dir, 'mnist.py') |
55 |
| -model_eia_tar = file_utils.make_tarfile(mnist_eia_script, |
56 |
| - os.path.join(model_eia_dir, "torch_model.pth"), |
57 |
| - model_eia_dir) |
| 34 | + dir_path = model_info['dir_path'] |
| 35 | + model_dir = os.path.join(resources_path, *dir_path) |
| 36 | + setattr(__import__('integration'), model_name + '_dir', model_dir) |
58 | 37 |
|
59 |
| -call_model_fn_once_script = os.path.join(model_cpu_dir, code_sub_dir, 'call_model_fn_once.py') |
60 |
| -call_model_fn_once_tar = file_utils.make_tarfile(call_model_fn_once_script, |
61 |
| - os.path.join(model_cpu_dir, "torch_model.pth"), |
62 |
| - model_cpu_dir, |
63 |
| - "model_call_model_fn_once.tar.gz", |
64 |
| - script_path="code") |
| 38 | + script_name = model_info['script_name'] |
| 39 | + model = model_info['model'] |
| 40 | + if 'filename' in model_info: |
| 41 | + filename = model_info['filename'] |
| 42 | + else: |
| 43 | + filename = 'model.tar.gz' |
| 44 | + if 'code_path' in model_info: |
| 45 | + code_path = model_info['code_path'] |
| 46 | + script_path = model_info['code_path'] |
| 47 | + else: |
| 48 | + code_path = '' |
| 49 | + script_path = None |
| 50 | + if 'requirements' in model_info: |
| 51 | + requirements = os.path.join(model_dir, code_path, 'requirements.txt') |
| 52 | + else: |
| 53 | + requirements = None |
65 | 54 |
|
66 |
| -default_model_dir = os.path.join(resnet18_path, default_sub_dir) |
67 |
| -default_model_script = os.path.join(default_model_dir, code_sub_dir, "resnet18.py") |
68 |
| -default_model_tar = file_utils.make_tarfile( |
69 |
| - default_model_script, os.path.join(default_model_dir, "model.pt"), default_model_dir, script_path="code" |
70 |
| -) |
| 55 | + model_script = os.path.join(model_dir, code_path, script_name) |
| 56 | + model_tar = file_utils.make_tarfile(model_script, |
| 57 | + os.path.join(model_dir, model), |
| 58 | + model_dir, |
| 59 | + filename=filename, |
| 60 | + script_path=script_path, |
| 61 | + requirements=requirements) |
71 | 62 |
|
72 |
| -default_traced_resnet_dir = os.path.join(resnet18_path, default_sub_traced_resnet_dir) |
73 |
| -default_traced_resnet_script = os.path.join(default_traced_resnet_dir, code_sub_dir, "resnet18.py") |
74 |
| -default_model_traced_resnet18_tar = file_utils.make_tarfile( |
75 |
| - default_traced_resnet_script, |
76 |
| - os.path.join(default_traced_resnet_dir, "traced_resnet18.pt"), |
77 |
| - default_traced_resnet_dir, |
78 |
| - filename="traced_resnet18.tar.gz", |
79 |
| - script_path="code", |
80 |
| -) |
81 |
| - |
82 |
| -default_model_eia_dir = os.path.join(mnist_path, default_sub_eia_dir) |
83 |
| -default_model_eia_script = os.path.join(default_model_eia_dir, code_sub_dir, "mnist.py") |
84 |
| -default_model_eia_tar = file_utils.make_tarfile( |
85 |
| - default_model_eia_script, os.path.join(default_model_eia_dir, "model.pt"), default_model_eia_dir |
86 |
| -) |
| 63 | + setattr(__import__('integration'), model_name + '_script', model_script) |
| 64 | + setattr(__import__('integration'), model_name + '_tar', model_tar) |
87 | 65 |
|
88 | 66 | ROLE = 'dummy/unused-role'
|
89 | 67 | DEFAULT_TIMEOUT = 20
|
|
0 commit comments