Spaces:
Running
Running
Split out ml_ops.py, add "View vector" box.
Browse files- examples/Model use +662 -670
- lynxkite-app/web/src/workspace/Workspace.tsx +1 -1
- lynxkite-app/web/src/workspace/nodes/NodeParameter.tsx +3 -3
- lynxkite-app/web/src/workspace/nodes/NodeWithVisualization.tsx +4 -0
- lynxkite-graph-analytics/pyproject.toml +1 -0
- lynxkite-graph-analytics/src/lynxkite_graph_analytics/__init__.py +1 -0
- lynxkite-graph-analytics/src/lynxkite_graph_analytics/lynxkite_ops.py +0 -124
- lynxkite-graph-analytics/src/lynxkite_graph_analytics/ml_ops.py +192 -0
- lynxkite-graph-analytics/uv.lock +702 -59
examples/Model use
CHANGED
@@ -41,6 +41,13 @@
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"sourceHandle": "output",
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"target": "View tables 1",
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"targetHandle": "bundle"
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}
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],
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"env": "LynxKite Graph Analytics",
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@@ -358,12 +365,14 @@
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},
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"df_test": {
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"columns": [
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"x",
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"y"
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]
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},
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"df_train": {
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"columns": [
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"x",
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"y"
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]
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},
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"df_test": {
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"columns": [
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"x",
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"y"
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"df_train": {
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"columns": [
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"x",
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"y"
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]
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"default": null,
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"name": "input_mapping",
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"type": {
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"type": "<class 'lynxkite_graph_analytics.
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}
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},
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"model_name": {
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"type": "basic"
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},
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"params": {
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"epochs": "
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"input_mapping": "{\"map\":{\"Input__tensor_1_output\":{\"df\":\"df_train\",\"column\":\"x\"},\"Input__tensor_3_output\":{\"df\":\"df_train\",\"column\":\"y\"}}}",
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"model_name": "model"
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},
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},
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"df_test": {
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"columns": [
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"default": null,
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"name": "input_mapping",
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"type": {
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"type": "<class 'lynxkite_graph_analytics.
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}
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"model_name": {
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"default": null,
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"name": "output_mapping",
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"type": {
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"type": "<class 'lynxkite_graph_analytics.
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|
@@ -1989,12 +1652,14 @@
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@@ -2471,426 +2136,528 @@
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2802 |
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2890 |
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2895 |
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2896 |
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|
@@ -2902,310 +2669,310 @@
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2902 |
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2903 |
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2904 |
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"model": "ModelConfig(model=Sequential(\n (0) - Identity(): Input__tensor_1_output -> START_Repeat_1_output\n (1) - Linear(4, 4, bias=True): START_Repeat_1_output -> Linear_1_output\n (2) - <function leaky_relu at
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3209 |
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3210 |
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3211 |
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@@ -3221,6 +2988,7 @@
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3223 |
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3224 |
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@@ -3228,6 +2996,7 @@
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3230 |
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@@ -3300,6 +3069,229 @@
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],
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"Input__tensor_3_output",
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"Output_1_x"
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}
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"default": "",
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"name": "vector_column",
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"type": {
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},
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"table_name": "df_test",
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"vector_column": "pred"
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},
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"status": "done",
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"title": "View vectors"
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},
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"dragHandle": ".bg-primary",
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"height": 668.0,
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"id": "View vectors 1",
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"position": {
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"width": 613.0
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}
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]
|
3297 |
}
|
lynxkite-app/web/src/workspace/Workspace.tsx
CHANGED
@@ -352,7 +352,7 @@ function LynxKiteFlow() {
|
|
352 |
onConnect={onConnect}
|
353 |
proOptions={{ hideAttribution: true }}
|
354 |
maxZoom={1}
|
355 |
-
minZoom={0.
|
356 |
zoomOnScroll={false}
|
357 |
preventScrolling={false}
|
358 |
defaultEdgeOptions={{
|
|
|
352 |
onConnect={onConnect}
|
353 |
proOptions={{ hideAttribution: true }}
|
354 |
maxZoom={1}
|
355 |
+
minZoom={0.2}
|
356 |
zoomOnScroll={false}
|
357 |
preventScrolling={false}
|
358 |
defaultEdgeOptions={{
|
lynxkite-app/web/src/workspace/nodes/NodeParameter.tsx
CHANGED
@@ -4,10 +4,10 @@ import ArrowsHorizontal from "~icons/tabler/arrows-horizontal.jsx";
|
|
4 |
|
5 |
const BOOLEAN = "<class 'bool'>";
|
6 |
const MODEL_TRAINING_INPUT_MAPPING =
|
7 |
-
"<class 'lynxkite_graph_analytics.
|
8 |
const MODEL_INFERENCE_INPUT_MAPPING =
|
9 |
-
"<class 'lynxkite_graph_analytics.
|
10 |
-
const MODEL_OUTPUT_MAPPING = "<class 'lynxkite_graph_analytics.
|
11 |
function ParamName({ name }: { name: string }) {
|
12 |
return <span className="param-name bg-base-200">{name.replace(/_/g, " ")}</span>;
|
13 |
}
|
|
|
4 |
|
5 |
const BOOLEAN = "<class 'bool'>";
|
6 |
const MODEL_TRAINING_INPUT_MAPPING =
|
7 |
+
"<class 'lynxkite_graph_analytics.ml_ops.ModelTrainingInputMapping'>";
|
8 |
const MODEL_INFERENCE_INPUT_MAPPING =
|
9 |
+
"<class 'lynxkite_graph_analytics.ml_ops.ModelInferenceInputMapping'>";
|
10 |
+
const MODEL_OUTPUT_MAPPING = "<class 'lynxkite_graph_analytics.ml_ops.ModelOutputMapping'>";
|
11 |
function ParamName({ name }: { name: string }) {
|
12 |
return <span className="param-name bg-base-200">{name.replace(/_/g, " ")}</span>;
|
13 |
}
|
lynxkite-app/web/src/workspace/nodes/NodeWithVisualization.tsx
CHANGED
@@ -8,6 +8,10 @@ const NodeWithVisualization = (props: any) => {
|
|
8 |
useEffect(() => {
|
9 |
const opts = props.data?.display?.value;
|
10 |
if (!opts || !chartsRef.current) return;
|
|
|
|
|
|
|
|
|
11 |
chartsInstanceRef.current = echarts.init(chartsRef.current, null, {
|
12 |
renderer: "canvas",
|
13 |
width: "auto",
|
|
|
8 |
useEffect(() => {
|
9 |
const opts = props.data?.display?.value;
|
10 |
if (!opts || !chartsRef.current) return;
|
11 |
+
if (opts.tooltip?.formatter === "GET_THIRD_VALUE") {
|
12 |
+
// We can't pass a function from the backend, and can't get good tooltips otherwise.
|
13 |
+
opts.tooltip.formatter = (params: any) => params.value[2];
|
14 |
+
}
|
15 |
chartsInstanceRef.current = echarts.init(chartsRef.current, null, {
|
16 |
renderer: "canvas",
|
17 |
width: "auto",
|
lynxkite-graph-analytics/pyproject.toml
CHANGED
@@ -16,6 +16,7 @@ dependencies = [
|
|
16 |
"polars[gpu]>=1.14.0",
|
17 |
"torch>=2.6.0",
|
18 |
"torch-geometric>=2.6.1",
|
|
|
19 |
]
|
20 |
|
21 |
[project.optional-dependencies]
|
|
|
16 |
"polars[gpu]>=1.14.0",
|
17 |
"torch>=2.6.0",
|
18 |
"torch-geometric>=2.6.1",
|
19 |
+
"cuml-cu12>=25.2.1",
|
20 |
]
|
21 |
|
22 |
[project.optional-dependencies]
|
lynxkite-graph-analytics/src/lynxkite_graph_analytics/__init__.py
CHANGED
@@ -14,6 +14,7 @@ from .core import * # noqa (easier access for core classes)
|
|
14 |
from . import lynxkite_ops # noqa (imported to trigger registration)
|
15 |
from . import networkx_ops # noqa (imported to trigger registration)
|
16 |
from . import pytorch # noqa (imported to trigger registration)
|
|
|
17 |
|
18 |
if os.environ.get("LYNXKITE_BIONEMO_INSTALLED", "").strip().lower() == "true":
|
19 |
from . import bionemo_ops # noqa (imported to trigger registration)
|
|
|
14 |
from . import lynxkite_ops # noqa (imported to trigger registration)
|
15 |
from . import networkx_ops # noqa (imported to trigger registration)
|
16 |
from . import pytorch # noqa (imported to trigger registration)
|
17 |
+
from . import ml_ops # noqa (imported to trigger registration)
|
18 |
|
19 |
if os.environ.get("LYNXKITE_BIONEMO_INSTALLED", "").strip().lower() == "true":
|
20 |
from . import bionemo_ops # noqa (imported to trigger registration)
|
lynxkite-graph-analytics/src/lynxkite_graph_analytics/lynxkite_ops.py
CHANGED
@@ -2,15 +2,11 @@
|
|
2 |
|
3 |
import enum
|
4 |
import os
|
5 |
-
import pathlib
|
6 |
import fsspec
|
7 |
from lynxkite.core import ops
|
8 |
from collections import deque
|
9 |
|
10 |
-
from tqdm import tqdm
|
11 |
from . import core
|
12 |
-
from .pytorch import pytorch_core
|
13 |
-
from lynxkite.core import workspace
|
14 |
import grandcypher
|
15 |
import joblib
|
16 |
import matplotlib
|
@@ -323,127 +319,7 @@ def create_graph(bundle: core.Bundle, *, relations: str = None) -> core.Bundle:
|
|
323 |
return ops.Result(output=bundle, display=bundle.to_dict(limit=100))
|
324 |
|
325 |
|
326 |
-
def load_ws(model_workspace: str):
|
327 |
-
cwd = pathlib.Path()
|
328 |
-
path = cwd / model_workspace
|
329 |
-
assert path.is_relative_to(cwd)
|
330 |
-
assert path.exists(), f"Workspace {path} does not exist"
|
331 |
-
ws = workspace.load(path)
|
332 |
-
return ws
|
333 |
-
|
334 |
-
|
335 |
@op("Biomedical foundation graph (PLACEHOLDER)")
|
336 |
def biomedical_foundation_graph(*, filter_nodes: str):
|
337 |
"""Loads the gigantic Lynx-maintained knowledge graph. Includes drugs, diseases, genes, proteins, etc."""
|
338 |
return None
|
339 |
-
|
340 |
-
|
341 |
-
@op("Define model")
|
342 |
-
def define_model(
|
343 |
-
bundle: core.Bundle,
|
344 |
-
*,
|
345 |
-
model_workspace: str,
|
346 |
-
save_as: str = "model",
|
347 |
-
):
|
348 |
-
"""Trains the selected model on the selected dataset. Most training parameters are set in the model definition."""
|
349 |
-
assert model_workspace, "Model workspace is unset."
|
350 |
-
ws = load_ws(model_workspace)
|
351 |
-
# Build the model without inputs, to get its interface.
|
352 |
-
m = pytorch_core.build_model(ws)
|
353 |
-
m.source_workspace = model_workspace
|
354 |
-
bundle = bundle.copy()
|
355 |
-
bundle.other[save_as] = m
|
356 |
-
return bundle
|
357 |
-
|
358 |
-
|
359 |
-
# These contain the same mapping, but they get different UIs.
|
360 |
-
# For inputs, you select existing columns. For outputs, you can create new columns.
|
361 |
-
class ModelInferenceInputMapping(pytorch_core.ModelMapping):
|
362 |
-
pass
|
363 |
-
|
364 |
-
|
365 |
-
class ModelTrainingInputMapping(pytorch_core.ModelMapping):
|
366 |
-
pass
|
367 |
-
|
368 |
-
|
369 |
-
class ModelOutputMapping(pytorch_core.ModelMapping):
|
370 |
-
pass
|
371 |
-
|
372 |
-
|
373 |
-
@op("Train model")
|
374 |
-
@ops.slow
|
375 |
-
def train_model(
|
376 |
-
bundle: core.Bundle,
|
377 |
-
*,
|
378 |
-
model_name: str = "model",
|
379 |
-
input_mapping: ModelTrainingInputMapping,
|
380 |
-
epochs: int = 1,
|
381 |
-
):
|
382 |
-
"""Trains the selected model on the selected dataset. Most training parameters are set in the model definition."""
|
383 |
-
m = bundle.other[model_name].copy()
|
384 |
-
inputs = pytorch_core.to_tensors(bundle, input_mapping)
|
385 |
-
t = tqdm(range(epochs), desc="Training model")
|
386 |
-
losses = []
|
387 |
-
for _ in t:
|
388 |
-
loss = m.train(inputs)
|
389 |
-
t.set_postfix({"loss": loss})
|
390 |
-
losses.append(loss)
|
391 |
-
m.trained = True
|
392 |
-
bundle = bundle.copy()
|
393 |
-
bundle.dfs["training"] = pd.DataFrame({"training_loss": losses})
|
394 |
-
bundle.other[model_name] = m
|
395 |
-
return bundle
|
396 |
-
|
397 |
-
|
398 |
-
@op("Model inference")
|
399 |
-
@ops.slow
|
400 |
-
def model_inference(
|
401 |
-
bundle: core.Bundle,
|
402 |
-
*,
|
403 |
-
model_name: str = "model",
|
404 |
-
input_mapping: ModelInferenceInputMapping,
|
405 |
-
output_mapping: ModelOutputMapping,
|
406 |
-
):
|
407 |
-
"""Executes a trained model."""
|
408 |
-
if input_mapping is None or output_mapping is None:
|
409 |
-
return ops.Result(bundle, error="Mapping is unset.")
|
410 |
-
m = bundle.other[model_name]
|
411 |
-
assert m.trained, "The model is not trained."
|
412 |
-
inputs = pytorch_core.to_tensors(bundle, input_mapping)
|
413 |
-
outputs = m.inference(inputs)
|
414 |
-
bundle = bundle.copy()
|
415 |
-
copied = set()
|
416 |
-
for k, v in output_mapping.map.items():
|
417 |
-
if not v.df or not v.column:
|
418 |
-
continue
|
419 |
-
if v.df not in copied:
|
420 |
-
bundle.dfs[v.df] = bundle.dfs[v.df].copy()
|
421 |
-
copied.add(v.df)
|
422 |
-
bundle.dfs[v.df][v.column] = outputs[k].detach().numpy().tolist()
|
423 |
-
return bundle
|
424 |
-
|
425 |
-
|
426 |
-
@op("Train/test split")
|
427 |
-
def train_test_split(bundle: core.Bundle, *, table_name: str, test_ratio: float = 0.1):
|
428 |
-
"""Splits a dataframe in the bundle into separate "_train" and "_test" dataframes."""
|
429 |
-
df = bundle.dfs[table_name]
|
430 |
-
test = df.sample(frac=test_ratio)
|
431 |
-
train = df.drop(test.index)
|
432 |
-
bundle = bundle.copy()
|
433 |
-
bundle.dfs[f"{table_name}_train"] = train
|
434 |
-
bundle.dfs[f"{table_name}_test"] = test
|
435 |
-
return bundle
|
436 |
-
|
437 |
-
|
438 |
-
@op("View loss", view="visualization")
|
439 |
-
def view_loss(
|
440 |
-
bundle: core.Bundle,
|
441 |
-
):
|
442 |
-
loss = bundle.dfs["training"].training_loss.tolist()
|
443 |
-
v = {
|
444 |
-
"title": {"text": "Training loss"},
|
445 |
-
"xAxis": {"type": "category"},
|
446 |
-
"yAxis": {"type": "value"},
|
447 |
-
"series": [{"data": loss, "type": "line"}],
|
448 |
-
}
|
449 |
-
return v
|
|
|
2 |
|
3 |
import enum
|
4 |
import os
|
|
|
5 |
import fsspec
|
6 |
from lynxkite.core import ops
|
7 |
from collections import deque
|
8 |
|
|
|
9 |
from . import core
|
|
|
|
|
10 |
import grandcypher
|
11 |
import joblib
|
12 |
import matplotlib
|
|
|
319 |
return ops.Result(output=bundle, display=bundle.to_dict(limit=100))
|
320 |
|
321 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
322 |
@op("Biomedical foundation graph (PLACEHOLDER)")
|
323 |
def biomedical_foundation_graph(*, filter_nodes: str):
|
324 |
"""Loads the gigantic Lynx-maintained knowledge graph. Includes drugs, diseases, genes, proteins, etc."""
|
325 |
return None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
lynxkite-graph-analytics/src/lynxkite_graph_analytics/ml_ops.py
ADDED
@@ -0,0 +1,192 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""Operations for machine learning."""
|
2 |
+
|
3 |
+
import numpy as np
|
4 |
+
from . import core
|
5 |
+
from lynxkite.core import workspace
|
6 |
+
from .pytorch import pytorch_core
|
7 |
+
from lynxkite.core import ops
|
8 |
+
from tqdm import tqdm
|
9 |
+
import cuml
|
10 |
+
import joblib
|
11 |
+
import pandas as pd
|
12 |
+
import pathlib
|
13 |
+
|
14 |
+
|
15 |
+
mem = joblib.Memory(".joblib-cache")
|
16 |
+
op = ops.op_registration(core.ENV)
|
17 |
+
|
18 |
+
|
19 |
+
def load_ws(model_workspace: str):
|
20 |
+
cwd = pathlib.Path()
|
21 |
+
path = cwd / model_workspace
|
22 |
+
assert path.is_relative_to(cwd)
|
23 |
+
assert path.exists(), f"Workspace {path} does not exist"
|
24 |
+
ws = workspace.load(path)
|
25 |
+
return ws
|
26 |
+
|
27 |
+
|
28 |
+
@op("Define model")
|
29 |
+
def define_model(
|
30 |
+
bundle: core.Bundle,
|
31 |
+
*,
|
32 |
+
model_workspace: str,
|
33 |
+
save_as: str = "model",
|
34 |
+
):
|
35 |
+
"""Trains the selected model on the selected dataset. Most training parameters are set in the model definition."""
|
36 |
+
assert model_workspace, "Model workspace is unset."
|
37 |
+
ws = load_ws(model_workspace)
|
38 |
+
# Build the model without inputs, to get its interface.
|
39 |
+
m = pytorch_core.build_model(ws)
|
40 |
+
m.source_workspace = model_workspace
|
41 |
+
bundle = bundle.copy()
|
42 |
+
bundle.other[save_as] = m
|
43 |
+
return bundle
|
44 |
+
|
45 |
+
|
46 |
+
# These contain the same mapping, but they get different UIs.
|
47 |
+
# For inputs, you select existing columns. For outputs, you can create new columns.
|
48 |
+
class ModelInferenceInputMapping(pytorch_core.ModelMapping):
|
49 |
+
pass
|
50 |
+
|
51 |
+
|
52 |
+
class ModelTrainingInputMapping(pytorch_core.ModelMapping):
|
53 |
+
pass
|
54 |
+
|
55 |
+
|
56 |
+
class ModelOutputMapping(pytorch_core.ModelMapping):
|
57 |
+
pass
|
58 |
+
|
59 |
+
|
60 |
+
@op("Train model")
|
61 |
+
@ops.slow
|
62 |
+
def train_model(
|
63 |
+
bundle: core.Bundle,
|
64 |
+
*,
|
65 |
+
model_name: str = "model",
|
66 |
+
input_mapping: ModelTrainingInputMapping,
|
67 |
+
epochs: int = 1,
|
68 |
+
):
|
69 |
+
"""Trains the selected model on the selected dataset. Most training parameters are set in the model definition."""
|
70 |
+
m = bundle.other[model_name].copy()
|
71 |
+
inputs = pytorch_core.to_tensors(bundle, input_mapping)
|
72 |
+
t = tqdm(range(epochs), desc="Training model")
|
73 |
+
losses = []
|
74 |
+
for _ in t:
|
75 |
+
loss = m.train(inputs)
|
76 |
+
t.set_postfix({"loss": loss})
|
77 |
+
losses.append(loss)
|
78 |
+
m.trained = True
|
79 |
+
bundle = bundle.copy()
|
80 |
+
bundle.dfs["training"] = pd.DataFrame({"training_loss": losses})
|
81 |
+
bundle.other[model_name] = m
|
82 |
+
return bundle
|
83 |
+
|
84 |
+
|
85 |
+
@op("Model inference")
|
86 |
+
@ops.slow
|
87 |
+
def model_inference(
|
88 |
+
bundle: core.Bundle,
|
89 |
+
*,
|
90 |
+
model_name: str = "model",
|
91 |
+
input_mapping: ModelInferenceInputMapping,
|
92 |
+
output_mapping: ModelOutputMapping,
|
93 |
+
):
|
94 |
+
"""Executes a trained model."""
|
95 |
+
if input_mapping is None or output_mapping is None:
|
96 |
+
return ops.Result(bundle, error="Mapping is unset.")
|
97 |
+
m = bundle.other[model_name]
|
98 |
+
assert m.trained, "The model is not trained."
|
99 |
+
inputs = pytorch_core.to_tensors(bundle, input_mapping)
|
100 |
+
outputs = m.inference(inputs)
|
101 |
+
bundle = bundle.copy()
|
102 |
+
copied = set()
|
103 |
+
for k, v in output_mapping.map.items():
|
104 |
+
if not v.df or not v.column:
|
105 |
+
continue
|
106 |
+
if v.df not in copied:
|
107 |
+
bundle.dfs[v.df] = bundle.dfs[v.df].copy()
|
108 |
+
copied.add(v.df)
|
109 |
+
bundle.dfs[v.df][v.column] = outputs[k].detach().numpy().tolist()
|
110 |
+
return bundle
|
111 |
+
|
112 |
+
|
113 |
+
@op("Train/test split")
|
114 |
+
def train_test_split(bundle: core.Bundle, *, table_name: str, test_ratio: float = 0.1):
|
115 |
+
"""Splits a dataframe in the bundle into separate "_train" and "_test" dataframes."""
|
116 |
+
df = bundle.dfs[table_name]
|
117 |
+
test = df.sample(frac=test_ratio).reset_index()
|
118 |
+
train = df.drop(test.index).reset_index()
|
119 |
+
bundle = bundle.copy()
|
120 |
+
bundle.dfs[f"{table_name}_train"] = train
|
121 |
+
bundle.dfs[f"{table_name}_test"] = test
|
122 |
+
return bundle
|
123 |
+
|
124 |
+
|
125 |
+
@op("View loss", view="visualization")
|
126 |
+
def view_loss(bundle: core.Bundle):
|
127 |
+
loss = bundle.dfs["training"].training_loss.tolist()
|
128 |
+
v = {
|
129 |
+
"title": {"text": "Training loss"},
|
130 |
+
"xAxis": {"type": "category"},
|
131 |
+
"yAxis": {"type": "value"},
|
132 |
+
"series": [{"data": loss, "type": "line"}],
|
133 |
+
}
|
134 |
+
return v
|
135 |
+
|
136 |
+
|
137 |
+
@op("Reduce dimensions")
|
138 |
+
def reduce_dimensions(bundle: core.Bundle):
|
139 |
+
return
|
140 |
+
|
141 |
+
|
142 |
+
VIRIDIS = [
|
143 |
+
"#440154",
|
144 |
+
"#482777",
|
145 |
+
"#3E4989",
|
146 |
+
"#31688E",
|
147 |
+
"#26828E",
|
148 |
+
"#1F9E89",
|
149 |
+
"#35B779",
|
150 |
+
"#6CCE59",
|
151 |
+
"#B4DE2C",
|
152 |
+
"#FDE725",
|
153 |
+
]
|
154 |
+
|
155 |
+
|
156 |
+
@op("View vectors", view="visualization")
|
157 |
+
def view_vectors(
|
158 |
+
bundle: core.Bundle,
|
159 |
+
*,
|
160 |
+
table_name: str = "nodes",
|
161 |
+
vector_column: str = "",
|
162 |
+
label_column: str = "",
|
163 |
+
):
|
164 |
+
vec = np.stack(bundle.dfs[table_name][vector_column].to_numpy())
|
165 |
+
proj = cuml.manifold.umap.UMAP(n_components=2).fit_transform(vec)
|
166 |
+
color = cuml.manifold.umap.UMAP(n_components=1).fit_transform(vec)
|
167 |
+
data = [[*p.tolist(), "", c.item()] for p, c in zip(proj, color)]
|
168 |
+
if label_column:
|
169 |
+
for i, row in enumerate(bundle.dfs[table_name][label_column]):
|
170 |
+
data[i][2] = row
|
171 |
+
size = 50 / len(data) ** 0.5
|
172 |
+
v = {
|
173 |
+
"title": {
|
174 |
+
"text": f"UMAP projection of {vector_column}",
|
175 |
+
},
|
176 |
+
"visualMap": {
|
177 |
+
"min": color[:, 0].min().item(),
|
178 |
+
"max": color[:, 0].max().item(),
|
179 |
+
"right": 10,
|
180 |
+
"top": "center",
|
181 |
+
"calculable": True,
|
182 |
+
"dimension": 3,
|
183 |
+
"inRange": {"color": VIRIDIS},
|
184 |
+
},
|
185 |
+
"tooltip": {"trigger": "item", "formatter": "GET_THIRD_VALUE"}
|
186 |
+
if label_column
|
187 |
+
else {"show": False},
|
188 |
+
"xAxis": [{"type": "value"}],
|
189 |
+
"yAxis": [{"type": "value"}],
|
190 |
+
"series": [{"type": "scatter", "symbolSize": size, "data": data}],
|
191 |
+
}
|
192 |
+
return v
|
lynxkite-graph-analytics/uv.lock
CHANGED
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|
|
104 |
{ url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815 },
|
105 |
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|
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|
107 |
[[package]]
|
108 |
name = "certifi"
|
109 |
version = "2025.1.31"
|
@@ -161,6 +170,27 @@ wheels = [
|
|
161 |
{ url = "https://files.pythonhosted.org/packages/0e/f6/65ecc6878a89bb1c23a086ea335ad4bf21a588990c3f535a227b9eea9108/charset_normalizer-3.4.1-py3-none-any.whl", hash = "sha256:d98b1668f06378c6dbefec3b92299716b931cd4e6061f3c875a71ced1780ab85", size = 49767 },
|
162 |
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|
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|
164 |
[[package]]
|
165 |
name = "colorama"
|
166 |
version = "0.4.6"
|
@@ -221,30 +251,111 @@ wheels = [
|
|
221 |
{ url = "https://files.pythonhosted.org/packages/c1/31/1ae946f11dfbd229222e6d6ad8e7bd1891d3d48bde5fbf7a0beb9491f8e3/contourpy-1.3.1-cp313-cp313t-win_amd64.whl", hash = "sha256:287ccc248c9e0d0566934e7d606201abd74761b5703d804ff3df8935f523d546", size = 236668 },
|
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|
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|
224 |
[[package]]
|
225 |
name = "cuda-python"
|
226 |
-
version = "12.
|
227 |
source = { registry = "https://pypi.org/simple" }
|
|
|
|
|
|
|
228 |
wheels = [
|
229 |
-
{ url = "https://files.pythonhosted.org/packages/
|
230 |
-
|
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-
|
232 |
-
|
233 |
-
|
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-
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|
235 |
]
|
236 |
|
237 |
[[package]]
|
238 |
name = "cudf-polars-cu12"
|
239 |
-
version = "
|
240 |
source = { registry = "https://pypi.org/simple" }
|
241 |
dependencies = [
|
242 |
{ name = "polars" },
|
243 |
{ name = "pylibcudf-cu12" },
|
244 |
]
|
245 |
wheels = [
|
246 |
-
{ url = "https://files.pythonhosted.org/packages/
|
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|
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]
|
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|
248 |
|
249 |
[[package]]
|
250 |
name = "cupy-cuda12x"
|
@@ -263,6 +374,18 @@ wheels = [
|
|
263 |
{ url = "https://files.pythonhosted.org/packages/14/11/8bc53cab1466605ba88ba3c7243078a784ee2cd8974f5602a491882af9af/cupy_cuda12x-13.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:88ef1478f00ae252da0026e7f04f70c9bb6a2dc130ba5f1e5bc5e8069a928bf5", size = 69499349 },
|
264 |
]
|
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|
266 |
[[package]]
|
267 |
name = "cycler"
|
268 |
version = "0.12.1"
|
@@ -272,6 +395,110 @@ wheels = [
|
|
272 |
{ url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321 },
|
273 |
]
|
274 |
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|
275 |
[[package]]
|
276 |
name = "fastrlock"
|
277 |
version = "0.8.3"
|
@@ -451,6 +678,18 @@ wheels = [
|
|
451 |
{ url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442 },
|
452 |
]
|
453 |
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|
454 |
[[package]]
|
455 |
name = "iniconfig"
|
456 |
version = "2.0.0"
|
@@ -558,26 +797,105 @@ wheels = [
|
|
558 |
|
559 |
[[package]]
|
560 |
name = "libcudf-cu12"
|
561 |
-
version = "
|
562 |
source = { registry = "https://pypi.org/simple" }
|
563 |
dependencies = [
|
564 |
{ name = "libkvikio-cu12" },
|
565 |
{ name = "nvidia-nvcomp-cu12" },
|
566 |
]
|
567 |
wheels = [
|
568 |
-
{ url = "https://files.pythonhosted.org/packages/
|
569 |
-
{ url = "https://files.pythonhosted.org/packages/
|
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|
570 |
]
|
|
|
571 |
|
572 |
[[package]]
|
573 |
name = "libkvikio-cu12"
|
574 |
-
version = "
|
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|
575 |
source = { registry = "https://pypi.org/simple" }
|
576 |
wheels = [
|
577 |
-
{ url = "https://files.pythonhosted.org/packages/
|
578 |
-
{ url = "https://files.pythonhosted.org/packages/
|
579 |
]
|
580 |
|
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|
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|
|
|
581 |
[[package]]
|
582 |
name = "llvmlite"
|
583 |
version = "0.43.0"
|
@@ -596,6 +914,15 @@ wheels = [
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|
596 |
{ url = "https://files.pythonhosted.org/packages/c6/94/dea10e263655ce78d777e78d904903faae39d1fc440762be4a9dc46bed49/llvmlite-0.43.0-cp312-cp312-win_amd64.whl", hash = "sha256:7a2872ee80dcf6b5dbdc838763d26554c2a18aa833d31a2635bff16aafefb9c9", size = 28107442 },
|
597 |
]
|
598 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
599 |
[[package]]
|
600 |
name = "lynxkite-core"
|
601 |
version = "0.1.0"
|
@@ -609,6 +936,7 @@ name = "lynxkite-graph-analytics"
|
|
609 |
version = "0.1.0"
|
610 |
source = { virtual = "." }
|
611 |
dependencies = [
|
|
|
612 |
{ name = "fsspec" },
|
613 |
{ name = "grand-cypher" },
|
614 |
{ name = "joblib" },
|
@@ -633,6 +961,7 @@ gpu = [
|
|
633 |
|
634 |
[package.metadata]
|
635 |
requires-dist = [
|
|
|
636 |
{ name = "fsspec", specifier = ">=2025.2.0" },
|
637 |
{ name = "grand-cypher", specifier = ">=0.12.0" },
|
638 |
{ name = "joblib", specifier = ">=1.4.2" },
|
@@ -649,6 +978,18 @@ requires-dist = [
|
|
649 |
{ name = "torch-geometric", specifier = ">=2.6.1" },
|
650 |
]
|
651 |
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
652 |
[[package]]
|
653 |
name = "markupsafe"
|
654 |
version = "3.0.2"
|
@@ -740,6 +1081,15 @@ wheels = [
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|
740 |
{ url = "https://files.pythonhosted.org/packages/0e/dd/e6ae97151e5ed648ab2ea48885bc33d39202b640eec7a2910e2c843f7ac0/matplotlib-3.10.0-cp313-cp313t-win_amd64.whl", hash = "sha256:5fd41b0ec7ee45cd960a8e71aea7c946a28a0b8a4dcee47d2856b2af051f334c", size = 8109742 },
|
741 |
]
|
742 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
743 |
[[package]]
|
744 |
name = "mpmath"
|
745 |
version = "1.3.0"
|
@@ -749,6 +1099,47 @@ wheels = [
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|
749 |
{ url = "https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c", size = 536198 },
|
750 |
]
|
751 |
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|
752 |
[[package]]
|
753 |
name = "multidict"
|
754 |
version = "6.2.0"
|
@@ -857,6 +1248,18 @@ wheels = [
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|
857 |
{ url = "https://files.pythonhosted.org/packages/ca/bd/0fe29fcd1b6a8de479a4ed25c6e56470e467e3611c079d55869ceef2b6d1/numba-0.60.0-cp312-cp312-win_amd64.whl", hash = "sha256:f75262e8fe7fa96db1dca93d53a194a38c46da28b112b8a4aca168f0df860347", size = 2707588 },
|
858 |
]
|
859 |
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|
860 |
[[package]]
|
861 |
name = "numpy"
|
862 |
version = "2.0.2"
|
@@ -959,10 +1362,12 @@ version = "11.2.1.3"
|
|
959 |
source = { registry = "https://pypi.org/simple" }
|
960 |
dependencies = [
|
961 |
{ name = "nvidia-nvjitlink-cu12", version = "12.4.127", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64'" },
|
|
|
962 |
]
|
963 |
wheels = [
|
964 |
{ url = "https://files.pythonhosted.org/packages/7a/8a/0e728f749baca3fbeffad762738276e5df60851958be7783af121a7221e7/nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399", size = 211422548 },
|
965 |
{ url = "https://files.pythonhosted.org/packages/27/94/3266821f65b92b3138631e9c8e7fe1fb513804ac934485a8d05776e1dd43/nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9", size = 211459117 },
|
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|
966 |
]
|
967 |
|
968 |
[[package]]
|
@@ -1080,6 +1485,15 @@ wheels = [
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|
1080 |
{ url = "https://files.pythonhosted.org/packages/78/a8/bcbb63b53a4b1234feeafb65544ee55495e1bb37ec31b999b963cbccfd1d/nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:df2c24502fd76ebafe7457dbc4716b2fec071aabaed4fb7691a201cde03704d9", size = 150057751 },
|
1081 |
]
|
1082 |
|
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|
1083 |
[[package]]
|
1084 |
name = "nvidia-nccl-cu12"
|
1085 |
version = "2.21.5"
|
@@ -1090,12 +1504,11 @@ wheels = [
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|
1090 |
|
1091 |
[[package]]
|
1092 |
name = "nvidia-nvcomp-cu12"
|
1093 |
-
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1094 |
source = { registry = "https://pypi.org/simple" }
|
1095 |
wheels = [
|
1096 |
-
{ url = "https://files.pythonhosted.org/packages/
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1097 |
-
{ url = "https://files.pythonhosted.org/packages/
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1098 |
-
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1099 |
]
|
1100 |
|
1101 |
[[package]]
|
@@ -1151,7 +1564,7 @@ wheels = [
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|
1151 |
|
1152 |
[[package]]
|
1153 |
name = "nx-cugraph-cu12"
|
1154 |
-
version = "
|
1155 |
source = { registry = "https://pypi.org/simple" }
|
1156 |
dependencies = [
|
1157 |
{ name = "cupy-cuda12x" },
|
@@ -1159,7 +1572,7 @@ dependencies = [
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|
1159 |
{ name = "numpy" },
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1160 |
{ name = "pylibcugraph-cu12" },
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1161 |
]
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1162 |
-
sdist = { url = "https://files.pythonhosted.org/packages/
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1163 |
|
1164 |
[[package]]
|
1165 |
name = "osmnx"
|
@@ -1228,6 +1641,19 @@ wheels = [
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|
1228 |
{ url = "https://files.pythonhosted.org/packages/ab/5f/b38085618b950b79d2d9164a711c52b10aefc0ae6833b96f626b7021b2ed/pandas-2.2.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:ad5b65698ab28ed8d7f18790a0dc58005c7629f227be9ecc1072aa74c0c1d43a", size = 13098436 },
|
1229 |
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|
1230 |
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|
1231 |
[[package]]
|
1232 |
name = "pillow"
|
1233 |
version = "11.1.0"
|
@@ -1288,15 +1714,16 @@ wheels = [
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|
1288 |
|
1289 |
[[package]]
|
1290 |
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1291 |
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1292 |
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1293 |
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1294 |
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1295 |
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{ url = "https://files.pythonhosted.org/packages/
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1296 |
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