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https://github.com/allaunthefox/Research-Stack.git
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76 lines
2.8 KiB
Python
76 lines
2.8 KiB
Python
#!/usr/bin/env python3
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# ==============================================================================
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# COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY)
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# PROJECT: SOVEREIGN STACK
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# This artifact is entirely proprietary and cryptographically proven.
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# Open-Source usage requires explicit permission from Brandon Scott Schneider.
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# ==============================================================================
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import json
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import datetime
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import sys
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import os
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from pathlib import Path
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# Add project root to sys.path to import TSM_COMPILER
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
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try:
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from TSM_COMPILER import TSM_Kernel
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except ImportError:
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from TSM_COMPILER import TSM_Kernel
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def mock_torch_tensor_to_logic_signal_substrate(tensor_shape, dtype, data_pointer_id):
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"""
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Translates a PyTorch-like tensor signature into a native TSM matrix schema.
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"""
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payload = {
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"active_systems": ["TORCH_TO_TSM_BRIDGE"],
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"state": {
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"tensor_matrix": {
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"shape": tensor_shape,
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"precision": dtype,
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"target_vram_buffer": data_pointer_id,
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"gpgpu_bindings": {
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"compute_backend": "CUDA_OPENCL_HYBRID",
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"matrix_multiplication": "tensor_cores_enabled",
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"vibration_eigenmode_solver": "Lanczos_GPU_Accelerated"
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}
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}
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}
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}
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# Initialize Kernel and absorb
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kernel = TSM_Kernel(substrate="silicon")
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out_file = "torch_bridge_model.logic_signal_substrate.json"
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manifold_id = kernel.absorb(out_file, payload)
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return {
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"logic_signal_substrate_version": "v3.2-USAL",
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"isa_version": "ISA-v1",
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"manifold_id": manifold_id,
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"substrate_transparency": "ENABLED",
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"stability_metric": kernel.surface.stability_metric,
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"absorbed_state": kernel.manifold[out_file],
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"legacy_reference": {
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"bridge": "graph_os_torch_bridge",
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"original_version": "logic_signal_substrate/1"
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}
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}
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def main():
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print("[ Graph OS COMPILER ] -> PyTorch Tensor to TSM Interop Loading...")
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# Mocking a torch tensor to translate
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shape = [32, 1024, 1024]
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dtype = "float64"
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pointer = "0x8F9B00A_CUDA"
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logic_signal_substrate_doc = mock_torch_tensor_to_logic_signal_substrate(shape, dtype, pointer)
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out_file = "torch_bridge_model.logic_signal_substrate.json"
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with open(out_file, 'w') as f:
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json.dump(logic_signal_substrate_doc, f, indent=4)
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print(f"[ OK ] Native PyTorch tensor dimensions {shape} [{dtype}] compiled to {out_file}.")
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print(f"[ OK ] USAL Manifold ID: {logic_signal_substrate_doc['manifold_id']}")
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if __name__ == '__main__':
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main()
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