Browse Source

Fix magma on cuda by using microsoft provided code

Instead of transformers code
tags/v0.3.11-rc1
haixuanTao 10 months ago
parent
commit
ebdfb76ae9
3 changed files with 400 additions and 220 deletions
  1. +10
    -42
      node-hub/dora-magma/dora_magma/main.py
  2. +4
    -1
      node-hub/dora-magma/pyproject.toml
  3. +386
    -177
      node-hub/dora-magma/uv.lock

+ 10
- 42
node-hub/dora-magma/dora_magma/main.py View File

@@ -1,6 +1,5 @@
"""TODO: Add docstring."""

import ast
import logging
import os
from pathlib import Path
@@ -25,13 +24,6 @@ magma_dir = current_dir.parent / "Magma" / "magma"

def load_magma_models():
"""TODO: Add docstring."""
# default_path = str(magma_dir.parent / "checkpoints" / "Magma-8B")
# if not os.path.exists(default_path):
# default_path = str(magma_dir.parent)
# if not os.path.exists(default_path):
# logger.warning(
# "Warning: Magma submodule not found, falling back to HuggingFace version",
# )
default_path = "microsoft/Magma-8B"

model_name_or_path = os.getenv("MODEL_NAME_OR_PATH", default_path)
@@ -47,6 +39,7 @@ def load_magma_models():
model_name_or_path,
trust_remote_code=True,
torch_dtype=torch.bfloat16,
use_fast=True,
)

return model, processor, model_name_or_path
@@ -77,6 +70,7 @@ def generate(
tokenize=False,
add_generation_prompt=True,
)
# image = image.resize((256, 256))

inputs = processor(images=image, texts=prompt, return_tensors="pt")
inputs["pixel_values"] = (
@@ -94,26 +88,7 @@ def generate(
max_new_tokens=1024,
use_cache=True,
)
response = processor.batch_decode(output_ids, skip_special_tokens=True)[0]

# Parse trajectories from response
trajectories = {}
try:
if "and their future positions are:" in response:
_, traces_str = response.split("and their future positions are:\n")
else:
_, traces_str = None, response

# Parse the trajectories using the same approach as in `https://github.com/microsoft/Magma/blob/main/agents/robot_traj/app.py`
traces_dict = ast.literal_eval(
"{" + traces_str.strip().replace("\n\n", ",") + "}",
)
for mark_id, trace in traces_dict.items():
trajectories[mark_id] = ast.literal_eval(trace)
except Exception as e:
logger.warning(f"Failed to parse trajectories: {e}")

return response, trajectories
return processor.batch_decode(output_ids, skip_special_tokens=True)[0]


def main():
@@ -121,6 +96,7 @@ def main():
node = Node()
frames = {}
image_id = ""
image = np.array([])

for event in node:
event_type = event["type"]
@@ -172,25 +148,17 @@ def main():
else:
logger.error(f"Image not found for {image_id}")
continue
response, trajectories = generate(image, task_description)
response = generate(image, task_description)
node.send_output(
"text",
pa.array([response]),
{"image_id": image_id},
{
"image_id": image_id,
"width": image.width,
"height": image.height,
},
)

# Send trajectory data if available
if trajectories:
import json

node.send_output(
"trajectories",
pa.array([json.dumps(trajectories)]),
{"image_id": image_id},
)
else:
continue

elif event_type == "ERROR":
logger.error(f"Event Error: {event['error']}")



+ 4
- 1
node-hub/dora-magma/pyproject.toml View File

@@ -15,7 +15,7 @@ dependencies = [
"numpy < 2",
"torch >= 2.4.0",
"torchvision >= 0.19",
"transformers >= 4.45",
"transformers>=4.45",
"opencv-python >= 4.1.1",
"accelerate>=1.5.1",
"psutil>=7.0.0",
@@ -35,6 +35,9 @@ exclude = ["dora_magma/Magma"]
[tool.black]
extend.exclude = "dora_magma/Magma"

[tool.uv.sources]
transformers = { git = "https://github.com/jwyang/transformers.git", rev = "dev/jwyang-v4.48.2" }

[tool.ruff.lint]
extend-select = [
"D", # pydocstyle


+ 386
- 177
node-hub/dora-magma/uv.lock View File

@@ -1,24 +1,20 @@
version = 1
revision = 1
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@@ -183,6 +200,18 @@ toml = [
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[[package]]
name = "dora-magma"
version = "0.1.0"
@@ -197,6 +226,7 @@ dependencies = [
{ name = "torch" },
{ name = "torchvision" },
{ name = "transformers" },
{ name = "wandb" },
]

[package.dev-dependencies]
@@ -210,13 +240,14 @@ dev = [
requires-dist = [
{ name = "accelerate", specifier = ">=1.5.1" },
{ name = "dora-rs", specifier = ">=0.3.9" },
{ name = "numpy", specifier = ">=2.2.3" },
{ name = "numpy", specifier = "<2" },
{ name = "open-clip-torch", specifier = ">=2.31.0" },
{ name = "opencv-python", specifier = ">=4.1.1" },
{ name = "psutil", specifier = ">=7.0.0" },
{ name = "torch", specifier = ">=2.4.0" },
{ name = "torchvision", specifier = ">=0.19" },
{ name = "transformers", specifier = ">=4.45" },
{ name = "transformers", git = "https://github.com/jwyang/transformers.git?rev=dev%2Fjwyang-v4.48.2" },
{ name = "wandb" },
]

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