sergey-grovety commented on a change in pull request #9092: URL: https://github.com/apache/tvm/pull/9092#discussion_r718423680
########## File path: tests/micro/zephyr/test_zephyr_armv7m.py ########## @@ -0,0 +1,267 @@ +# 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. + +import logging +import os +import pathlib +import sys +import tarfile +import tempfile + +from urllib.request import urlopen, urlretrieve +from urllib.error import HTTPError +import json + +import pytest +import numpy as np + +import requests + +from test_utils import create_header_file +from test_utils import build_project +from test_utils import get_message + +import tvm +import tvm.rpc +import tvm.micro +import tvm.testing +from tvm import relay + +from tvm.contrib.download import download_testdata +from tvm.micro.interface_api import generate_c_interface_header + +import conftest + + +_LOG = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) + + +def _open_tflite_model(): + # Import TFLite model + + model_url = "https://github.com/tlc-pack/web-data/raw/main/testdata/microTVM/model/mnist_model_quant.tflite"; + model_path = download_testdata(model_url, "mnist_model_quant.tflite", module="model") + + tflite_model_buf = open(model_path, "rb").read() + + try: + import tflite + + tflite_model = tflite.Model.GetRootAsModel(tflite_model_buf, 0) + except AttributeError: + import tflite.Model + + tflite_model = tflite.Model.Model.GetRootAsModel(tflite_model_buf, 0) + + relay_mod, params = relay.frontend.from_tflite(tflite_model) + + return relay_mod, params + + +def _get_test_data(testdata_dir): + + from PIL import Image + + image_files = ["digit-2.jpg"] + + for file in image_files: + img = Image.open(testdata_dir / file).resize((28, 28)) + img = np.asarray(img).astype("uint8") + sample = np.reshape(img, -1) + + output_shape = (1, 10) + + return sample, output_shape + + +def _apply_desired_layout_simd(relay_mod): + + desired_layouts = {"qnn.conv2d": ["NHWC", "HWOI"], "nn.conv2d": ["NHWC", "HWOI"]} + + seq = tvm.transform.Sequential( + [relay.transform.RemoveUnusedFunctions(), relay.transform.ConvertLayout(desired_layouts)] + ) + + with tvm.transform.PassContext(opt_level=3): + return seq(relay_mod) + + +def _apply_desired_layout_no_simd(relay_mod): + + desired_layouts = {"qnn.conv2d": ["NHWC", "HWIO"], "nn.conv2d": ["NHWC", "HWIO"]} + + seq = tvm.transform.Sequential( + [relay.transform.RemoveUnusedFunctions(), relay.transform.ConvertLayout(desired_layouts)] + ) + + with tvm.transform.PassContext(opt_level=3): + return seq(relay_mod) + + +def _loadCMSIS(temp_dir): + REPO_PATH = "ARM-software/CMSIS_5" + BRANCH = "master" + API_PATH_URL = f"https://api.github.com/repos/{REPO_PATH}/git/trees"; + RAW_PATH_URL = f"https://raw.githubusercontent.com/{REPO_PATH}/{BRANCH}"; + + url = "https://api.github.com/repos/ARM-software/CMSIS_5/git/trees/master?recursive=1"; + r = requests.get(url) + res = r.json() + + include_trees = {} + + for file in res["tree"]: + if file["path"] in {"CMSIS/DSP/Include", "CMSIS/DSP/Include/dsp", "CMSIS/NN/Include"}: + include_trees.update({file["path"]: file["sha"]}) + + for path, sha in include_trees.items(): + url = f"{API_PATH_URL}/{sha}" + content = json.load(urlopen(url)) + temp_path = f"{temp_dir}" + if path == "CMSIS/DSP/Include/dsp": + temp_path = f"{temp_dir}/dsp" + if not os.path.isdir(temp_path): + os.makedirs(temp_path) + for item in content["tree"]: + if item["type"] == "blob": + file_name = item["path"] + file_url = f"{RAW_PATH_URL}/{path}/{file_name}" + print(file_name, " ", file_url) + try: + urlretrieve(file_url, f"{temp_path}/{file_name}") + except HTTPError as e: + print(f"Failed to download {file_url}: {e}") + + +def _generate_project(temp_dir, board, west_cmd, lowered, build_config, sample, output_shape): + + with tempfile.NamedTemporaryFile() as tar_temp_file: + with tarfile.open(tar_temp_file.name, "w:gz") as tf: + with tempfile.TemporaryDirectory() as tar_temp_dir: + model_files_path = os.path.join(tar_temp_dir, "include") + os.mkdir(model_files_path) + _loadCMSIS(model_files_path) Review comment: Done -- This is an automated message from the Apache Git Service. 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