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hw_constraints_node.py
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hw_constraints_node.py
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# Copyright 2023 SustainML Consortium
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""SustainML HW Resources Provider Node Implementation."""
from sustainml_py.nodes.HardwareConstraintsNode import HardwareConstraintsNode
# Manage signaling
import ctypes
import json
import numpy as np
import signal
import threading
import time
# Whether to go on spinning or interrupt
running = False
# Signal handler
def signal_handler(sig, frame):
print("\nExiting")
HardwareConstraintsNode.terminate()
global running
running = False
# User Callback implementation
# Inputs: user_input
# Outputs: node_status, hw_constraints
def task_callback(user_input, node_status, hw_constraints):
# Default values
hw_req = "PIM_AI_1chip"
mem_footprint = 100
# Check if extra data has been sent
if user_input.extra_data().size() != 0:
buffer = ctypes.c_ubyte * user_input.extra_data().size()
buffer = buffer.from_address(int(user_input.extra_data().get_buffer()))
extra_data = np.frombuffer(buffer, dtype=np.uint8)
extra_data_str = extra_data.tobytes().decode('utf-8', errors='ignore')
try:
json_obj = json.loads(extra_data_str)
if json_obj is not None:
mem_footprint = int(json_obj["max_memory_footprint"])
hw_req = json_obj["hardware_required"]
except:
print("Extra data is not a valid JSON object, using default values")
# TODO parse other possible data hidden in the extra_data field, if any
# TODO populate the hw_constraints object with the required data
hw_constraints.max_memory_footprint(mem_footprint)
hw_constraints.hardware_required([hw_req])
# Main workflow routine
def run():
node = HardwareConstraintsNode(callback=task_callback)
global running
running = True
node.spin()
# Call main in program execution
if __name__ == '__main__':
signal.signal(signal.SIGINT, signal_handler)
"""Python does not process signals async if
the main thread is blocked (spin()) so, tun
user work flow in another thread """
runner = threading.Thread(target=run)
runner.start()
while running:
time.sleep(1)
runner.join()