docs: bump OpenClaw node version to 2026.3.28 and align remote maintenance docs
- Update OpenClaw version references from 2026.3.13 to 2026.3.28 in README.md, docs/OPENCLAW_ARCHITECTURE.md, and gateway_plugins.txt. - Remove outdated MacOS maintenance instructions (log rotation, credential syncing) from remote luca project. - Redirect remote luca documentation to explicitly refer back to the mw-macbook-pro repository for MacOS-specific routines. - Updated CHANGELOG to reflect version bump and cross-repo document alignments. - Removed completed implementation plan. Co-authored-by: Junie <junie@jetbrains.com>
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import torch
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import numpy as np
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import time
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import coremltools as ct
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def test_mps():
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print("--- Testing PyTorch MPS ---")
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if not torch.backends.mps.is_available():
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print("MPS not available.")
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return
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device = torch.device("mps")
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print(f"Using device: {device}")
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# Create tensors
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size = 4000
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x = torch.randn(size, size, device=device)
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y = torch.randn(size, size, device=device)
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# Warm up
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_ = torch.matmul(x, y)
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torch.mps.synchronize()
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# Benchmark
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start = time.time()
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for _ in range(10):
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z = torch.matmul(x, y)
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torch.mps.synchronize()
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end = time.time()
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print(f"Matrix multiplication {size}x{size} on MPS took: {(end - start)/10:.4f}s per iteration")
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print("PyTorch MPS check passed.\n")
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def test_coreml():
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print("--- Testing CoreML ---")
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# Simple check for CoreML availability and version
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print(f"CoreML Tools version: {ct.__version__}")
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# On macOS, CoreML is always available as a system framework.
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# The actual execution depends on the model's 'compute_units'.
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print("CoreML framework is available on macOS.\n")
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if __name__ == "__main__":
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test_mps()
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test_coreml()
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