def get_code_template(data: dict) -> Response:
"""Get code template file for requested Workload."""
workload_id = RequestDataProcessor.get_string_value(data, "workload_id")
workdir = Workdir()
workload_data = workdir.get_workload_data(workload_id)
code_template_path = workload_data.get("code_template_path")
if not code_template_path:
raise NotFoundException(f"Unable to find code template file for {workload_id}")
return ResponseGenerator.serve_from_filesystem(
path=code_template_path,
mimetype="text/x-python",
)
def get_output(data: dict) -> Response:
"""Get config file for requested Workload."""
workload_id = RequestDataProcessor.get_string_value(data, "workload_id")
workdir = Workdir()
workload_data = workdir.get_workload_data(workload_id)
log_path = workload_data.get("log_path")
if not log_path:
raise NotFoundException(f"Unable to find output log for {workload_id}")
try:
response = ResponseGenerator.serve_from_filesystem(
path=log_path,
mimetype="text/plain",
)
except Exception as e:
response = ResponseGenerator.from_exception(e)
return ResponseGenerator.add_refresh(
response=response,
refresh_time=3,
)
def execute_optimization(data: Dict[str, Any]) -> dict:
"""Get configuration."""
from lpot.ux.utils.workload.workload import Workload
if not str(data.get("id", "")):
message = "Missing request id."
mq.post_error(
"optimization_finish",
{"message": message, "code": 404},
)
raise Exception(message)
request_id: str = data["id"]
workdir: Optional[Workdir] = None
try:
workdir = Workdir(request_id=request_id, overwrite=False)
workload_path: str = workdir.workload_path
workload_data = _load_json_as_dict(
os.path.join(workload_path, "workload.json"),
)
workload = Workload(workload_data)
optimization: Optimization = OptimizationFactory.get_optimization(
workload,
workdir.template_path,
)
send_data = {
"message": "started",
"id": request_id,
"size_input_model": get_size(optimization.input_graph),
}
workdir.clean_logs()
workdir.update_data(
request_id=request_id,
model_path=optimization.input_graph,
input_precision=optimization.input_precision,
model_output_path=optimization.output_graph,
output_precision=optimization.output_precision,
status="wip",
)
executor = Executor(
workspace_path=workload_path,
subject="optimization",
data=send_data,
log_name="output",
)
proc = executor.call(
optimization.command,
)
optimization_time = executor.process_duration
if optimization_time:
optimization_time = round(optimization_time, 2)
log.debug(f"Elapsed time: {optimization_time}")
logs = [os.path.join(workload_path, "output.txt")]
parser = OptimizationParser(logs)
if proc.is_ok:
response_data = parser.process()
optimized_model_path = response_data.get(
"path_optimized_model",
optimization.output_graph,
)
optimization.output_graph = optimized_model_path
if isinstance(response_data, dict):
response_data["id"] = request_id
response_data["optimization_time"] = optimization_time
response_data["size_optimized_model"] = get_size(optimized_model_path)
response_data["model_output_path"] = optimized_model_path
response_data["size_input_model"] = get_size(optimization.input_graph)
response_data["is_custom_dataloader"] = bool(workdir.template_path)
workdir.update_data(
request_id=request_id,
model_path=optimization.input_graph,
model_output_path=optimized_model_path,
metric=response_data,
status="success",
execution_details={"optimization": optimization.serialize()},
input_precision=optimization.input_precision,
output_precision=optimization.output_precision,
)
response_data["execution_details"] = {"optimization": optimization.serialize()}
log.debug(f"Parsed data is {json.dumps(response_data)}")
mq.post_success("optimization_finish", response_data)
return response_data
else:
log.debug("FAIL")
workdir.update_data(
request_id=request_id,
model_path=optimization.input_graph,
input_precision=optimization.input_precision,
output_precision=optimization.output_precision,
status="error",
)
raise ClientErrorException("Optimization failed during execution.")
except Exception as err:
mq.post_failure("optimization_finish", {"message": str(err), "id": request_id})
if workdir is not None and workdir.get_workload_data(request_id).get("status") != "error":
workdir.update_data(
request_id=request_id,
status="error",
)
raise