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Upload test_ai_integration.py

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  1. test_ai_integration.py +8 -16
test_ai_integration.py CHANGED
@@ -156,15 +156,11 @@ def test_ai_integration():
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  print(f"Model size: {model_size / (1024**3):.2f} GB")
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  # Store model in WebSocket storage with size information
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- model_data = {
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- "size_bytes": model_size,
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- "unlimited_vram": True,
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- "allow_resize": True
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- }
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  ai_accelerator_for_loading.load_model(
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- model_name=model_id,
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- model_path=None,
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- model_data=model_data
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  )
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  print(f"Model '{model_id}' loaded successfully to WebSocket storage.")
@@ -185,15 +181,11 @@ def test_ai_integration():
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  print("Falling back to zero-copy tensor mode...")
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  # Try loading with zero-copy tensor mode
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  try:
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- model_data = {
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- "zero_copy": True,
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- "unlimited_vram": True,
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- "allow_resize": True
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- }
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  ai_accelerator_for_loading.load_model(
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- model_name=model_id,
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- model_path=None,
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- model_data=model_data
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  )
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  components['model_id'] = model_id
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  print("Successfully loaded model in zero-copy mode")
 
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  print(f"Model size: {model_size / (1024**3):.2f} GB")
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  # Store model in WebSocket storage with size information
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+ # Load model directly using AIAccelerator's load_model method
 
 
 
 
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  ai_accelerator_for_loading.load_model(
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+ model_id=model_id,
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+ model=model,
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+ processor=processor
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  )
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  print(f"Model '{model_id}' loaded successfully to WebSocket storage.")
 
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  print("Falling back to zero-copy tensor mode...")
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  # Try loading with zero-copy tensor mode
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  try:
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+ # Try zero-copy loading
 
 
 
 
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  ai_accelerator_for_loading.load_model(
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+ model_id=model_id,
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+ model=None,
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+ processor=None
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  )
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  components['model_id'] = model_id
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  print("Successfully loaded model in zero-copy mode")