remove modal glue

This commit is contained in:
2024-05-16 23:15:40 +01:00
parent e85fa8e521
commit 141f91a235
3 changed files with 3 additions and 471 deletions

455
poetry.lock generated
View File

@@ -110,20 +110,6 @@ files = [
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@@ -652,17 +526,6 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jed
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@@ -753,30 +616,6 @@ dev = ["changelist (==0.5)"]
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@@ -1422,26 +1223,6 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
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]
[package.dependencies]
anyio = ">=3.0.0"
[[package]] [[package]]
name = "xxhash" name = "xxhash"
version = "3.4.1" version = "3.4.1"
@@ -2494,4 +2041,4 @@ multidict = ">=4.0"
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.10" python-versions = "^3.10"
content-hash = "a3f37a24d76e12b290f21c67dd2253036c23db2d1ba3ab11e58c99da740bb5c4" content-hash = "da587ec8a6f3cbda46c1f715b6488ae13d7bd8bec4c7878937018a3c2587e9f4"

View File

@@ -13,7 +13,6 @@ python = "^3.10"
datasets = "^2.19.0" datasets = "^2.19.0"
albumentations = "^1.4.4" albumentations = "^1.4.4"
numpy = "^1.26.4" numpy = "^1.26.4"
modal = "^0.62.103"
torch = "^2.2.2" torch = "^2.2.2"

View File

@@ -15,16 +15,6 @@ TEST_SIZE = 0.1
datasets.logging.set_verbosity(datasets.logging.INFO) datasets.logging.set_verbosity(datasets.logging.INFO)
image = modal.Image.debian_slim().pip_install(
"datasets==2.19.0",
"albumentations==1.4.4",
"numpy==1.26.4",
"torch==2.2.2",
)
app = modal.App("multilayer-authenticity-identifier", image=image)
volume = modal.Volume.from_name("model-store")
model_store_path = "/vol/models"
def collate(batch): def collate(batch):
pixel_values = [] pixel_values = []
@@ -133,7 +123,6 @@ def load_data():
return training_loader, validation_loader, len(training_ds) return training_loader, validation_loader, len(training_ds)
@app.function(gpu="T4", timeout=86400, volumes={model_store_path: volume})
def train(): def train():
training_loader, validation_loader, sample_size = load_data() training_loader, validation_loader, sample_size = load_data()
@@ -208,11 +197,8 @@ def train():
if avg_validation_loss < best_vloss: if avg_validation_loss < best_vloss:
best_vloss = avg_validation_loss best_vloss = avg_validation_loss
model_path = f"{model_store_path}/mai_{timestamp}_{epoch}" model_path = f"model/mai_{timestamp}_{epoch}"
torch.save(model.state_dict(), model_path) torch.save(model.state_dict(), model_path)
volume.commit()
@app.local_entrypoint() train()
def main():
train.remote()