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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.")
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