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Runtime error
Runtime error
Pierre Tassel
commited on
Commit
·
a2830cb
1
Parent(s):
8fcbf62
try with 2 cpus
Browse files- .gitignore +213 -0
- app.py +7 -6
.gitignore
ADDED
@@ -0,0 +1,213 @@
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+
### JetBrains template
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# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
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# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
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# Gradle
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203 |
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# Cython debug symbols
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cython_debug/
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app.py
CHANGED
@@ -50,7 +50,7 @@ def solve(file):
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random.seed(0)
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np.random.seed(0)
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torch.manual_seed(0)
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-
num_workers =
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with torch.inference_mode():
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device = torch.device('cpu')
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actor = torch.jit.load('actor.pt', map_location=device)
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visu.sequence(name=f'M{machine_id}',
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intervals=machine_solution[machine_id])
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#plt.rcParams["font.family"] = "Times New Roman"
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plt.rcParams["font.size"] = "30"
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plt.gca().set_aspect('equal')
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plt.rcParams["figure.figsize"] = (45, 50)
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from io import BytesIO
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buffer = BytesIO()
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@@ -152,8 +151,10 @@ ray.init(log_to_driver=False,
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include_dashboard=False)
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title = "Job-Shop Scheduling CP RL"
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description = "A Job-Shop Scheduling Reinforcement Learning based solver, using an underlying CP model as an " \
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"environment.
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-
"However, due to ressource limitations on the HuggingFace platform, the result you obtain here might not be optimal."
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article = "<p style='text-align: center'>Article Under Review</p>"
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examples = ['ta01', 'dmu01.txt', 'la01.txt']
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iface = gr.Interface(fn=solve, inputs=gr.File(label="Instance File"), outputs=[gr.Text(label="Solution"), gr.Image(label="Solution's Gantt Chart"), gr.Text(label="Elapsed Time")], title=title, description=description, article=article, examples=examples)
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random.seed(0)
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np.random.seed(0)
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torch.manual_seed(0)
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num_workers = 2 # only one CPU available
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with torch.inference_mode():
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device = torch.device('cpu')
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actor = torch.jit.load('actor.pt', map_location=device)
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visu.sequence(name=f'M{machine_id}',
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intervals=machine_solution[machine_id])
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#plt.rcParams["font.family"] = "Times New Roman"
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#plt.rcParams["font.size"] = "30"
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#plt.gca().set_aspect('equal')
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from io import BytesIO
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buffer = BytesIO()
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include_dashboard=False)
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title = "Job-Shop Scheduling CP RL"
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description = "A Job-Shop Scheduling Reinforcement Learning based solver, using an underlying CP model as an " \
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"environment. <br>" \
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"However, due to ressource limitations on the HuggingFace platform, the result you obtain here might not be optimal. <br>" \
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"For large instance, we recommand to run this localy outside the interface as it causes a lot of overhead." \
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article = "<p style='text-align: center'>Article Under Review</p>"
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examples = ['ta01', 'dmu01.txt', 'la01.txt']
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iface = gr.Interface(fn=solve, inputs=gr.File(label="Instance File"), outputs=[gr.Text(label="Solution"), gr.Image(label="Solution's Gantt Chart"), gr.Text(label="Elapsed Time")], title=title, description=description, article=article, examples=examples)
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