import time class CommandProcessor: def __init__(self, hal, memory_manager): self.hal = hal self.memory_manager = memory_manager self.command_buffer = [] def add_command(self, command_type, **kwargs): command = { "type": command_type, "args": kwargs } self.command_buffer.append(command) print(f"Added command: {command_type} with args {kwargs}") def submit_commands(self, chip_id=0): if not self.hal.initialized: raise RuntimeError("HAL not initialized. Cannot submit commands.") print(f"Submitting {len(self.command_buffer)} commands to Chip {chip_id}...") results = [] for command in self.command_buffer: command_type = command["type"] args = command["args"] try: if command_type == "execute_kernel": sm_id = args.get("sm_id") a = args.get("a") b = args.get("b") cin = args.get("cin") opcode = args.get("opcode") reg_sel = args.get("reg_sel") # Use v2 core if available try: v2_result = self.hal.v2_core_step(chip_id, a, b, cin, opcode, reg_sel) results.append(v2_result) print(f" [v2] Executed kernel on chip {chip_id} (AdvancedCore). Result: {v2_result}") except Exception as e: # fallback to legacy SM warp if v2 core not present result = self.hal.execute_sm_warp(chip_id, sm_id, a, b, cin, opcode, reg_sel) results.append(result) print(f" Executed kernel on SM {sm_id}. Result: {result}") elif command_type == "matmul": sm_id = args.get("sm_id") A = args.get("A") B = args.get("B") # Try v2 tensor core first try: v2_result = self.hal.v2_tensor_matmul(chip_id, A, B) results.append(v2_result) print(f" [v2] Executed tensor matmul on chip {chip_id}. Result: {v2_result}") except Exception as e: result = self.hal.execute_tensor_core_matmul(chip_id, sm_id, A, B) results.append(result) print(f" Executed matmul on SM {sm_id}. Result: {result}") elif command_type == "draw_arrays": # Optionally, could simulate v2 graphics pipeline here print(f" [v2] draw_arrays command received (not yet fully simulated in v2 core).") results.append(None) elif command_type == "draw_indexed": print(f" [v2] draw_indexed command received (not yet fully simulated in v2 core).") results.append(None) elif command_type == "write_memory": virtual_address = args.get("virtual_address") data = args.get("data") self.memory_manager.write_data(virtual_address, data, chip_id) results.append(None) print(f" Wrote data to memory at virtual address {virtual_address}.") elif command_type == "read_memory": virtual_address = args.get("virtual_address") size_bytes = args.get("size_bytes") result = self.memory_manager.read_data(virtual_address, size_bytes, chip_id) results.append(result) print(f" Read data from memory at virtual address {virtual_address}. Data: {result}") elif command_type == "global_barrier": print(f" Executing global barrier on Chip {chip_id}. All pending operations on this chip will complete.") time.sleep(0.01) # Simulate a small delay for synchronization results.append(None) elif command_type == "shared_memory_barrier": sm_id = args.get("sm_id") print(f" Executing shared memory barrier on Chip {chip_id}, SM {sm_id}. All pending shared memory operations on this SM will complete.") time.sleep(0.001) # Simulate a very small delay results.append(None) elif command_type == "atomic_operation": sm_id = args.get("sm_id") address = args.get("address") operation = args.get("operation") # e.g., 'add', 'compare_and_swap' value = args.get("value") print(f" Executing atomic operation '{operation}' at address {address} on Chip {chip_id}, SM {sm_id} with value {value}.") # In a real driver, this would involve a hardware atomic instruction results.append(None) else: print(f" Unknown command type: {command_type}") results.append(None) except Exception as e: print(f"Error executing command {command_type}: {e}") results.append(f"Error: {e}") self.command_buffer = [] # Clear buffer after submission print("Command submission complete.") return results def clear_commands(self): self.command_buffer = [] print("Command buffer cleared.")