mehrdadh commented on code in PR #11782: URL: https://github.com/apache/tvm/pull/11782#discussion_r907798401
########## tests/micro/common/test_autotune.py: ########## @@ -0,0 +1,91 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you 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. + +from io import StringIO +import json +from pathlib import Path +import sys +import tempfile +from typing import Union + +import numpy as np +import pytest + +import tvm +import tvm.testing +import tvm.micro.testing +from tvm.testing.utils import fetch_model_from_url + +TUNING_RUNS_PER_OPERATOR = 2 + + [email protected]_hardware [email protected]_micro +def test_kws_autotune_workflow(platform, board): + mod, params = fetch_model_from_url( + url="https://github.com/tensorflow/tflite-micro/raw/main/tensorflow/lite/micro/examples/micro_speech/micro_speech.tflite";, + model_format="tflite", + sha256="09e5e2a9dfb2d8ed78802bf18ce297bff54281a66ca18e0c23d69ca14f822a83", + ) + target = tvm.micro.testing.get_target(platform, board) + + str_io_logs = tvm.micro.testing.tune_model( + platform, board, target, mod, params, TUNING_RUNS_PER_OPERATOR + ) + assert isinstance(str_io_logs, StringIO) + + str_logs = str_io_logs.getvalue().rstrip().split("\n") + logs = list(map(json.loads, str_logs)) + assert len(logs) == 2 * TUNING_RUNS_PER_OPERATOR # Two operators + + # Check we tested both operators + op_names = list(map(lambda x: x["input"][1], logs)) + assert op_names[0] == op_names[1] == "dense_nopack.x86" + assert op_names[2] == op_names[3] == "dense_pack.x86" + + # Make sure we tested different code. != does deep comparison in Python 3 + assert logs[0]["config"]["index"] != logs[1]["config"]["index"] + assert logs[0]["config"]["entity"] != logs[1]["config"]["entity"] + assert logs[2]["config"]["index"] != logs[3]["config"]["index"] + assert logs[2]["config"]["entity"] != logs[3]["config"]["entity"] + + # Compile the best model with AOT and connect to it + with tvm.micro.testing.create_aot_session( + platform, + board, + target, + mod, + params, + tune_logs=str_io_logs, + ) as session: + aot_executor = tvm.runtime.executor.aot_executor.AotModule(session.create_aot_executor()) + + samples = ( + np.random.randint(low=-127, high=128, size=(1, 1960), dtype=np.int8) for x in range(3) + ) + + labels = [0, 0, 0] + + # Validate perforance across random runs + time, acc = tvm.micro.testing.evaluate_model_accuracy( + session, aot_executor, samples, labels, runs_per_sample=20 + ) + assert time < 1 # Should be ~60 ms Review Comment: I think this timing would fail if we run it on hardware? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
