sergey-grovety commented on a change in pull request #9092: URL: https://github.com/apache/tvm/pull/9092#discussion_r718427413
########## 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) + tf.add(model_files_path, arcname=os.path.relpath(model_files_path, tar_temp_dir)) + header_path = generate_c_interface_header( + lowered.libmod_name, ["input_1"], ["output"], model_files_path + ) + tf.add(header_path, arcname=os.path.relpath(header_path, tar_temp_dir)) + + create_header_file("input_data", sample, "include", tf) + create_header_file( + "output_data", np.zeros(shape=output_shape, dtype="float32"), "include", tf + ) + + project, _ = build_project( + temp_dir, + board, + west_cmd, + lowered, + build_config, + extra_files_tar=tar_temp_file.name, + ) + + return project + + +def _run_model(temp_dir, board, west_cmd, lowered, build_config, sample, output_shape): + + project = _generate_project( + temp_dir, board, west_cmd, lowered, build_config, sample, output_shape + ) + + project.flash() + + with project.transport() as transport: + timeout_read = 60 + transport.write(b"start\n", timeout_sec=5) + result_line = get_message(transport, "#result", timeout_sec=timeout_read) + + result_line = result_line.strip("\n") + result_line = result_line.split(":") + result = int(result_line[1]) + time = int(result_line[2]) + logging.info(f"Result: {result}\ttime: {time} ms") + + return result, time + + [email protected]_micro +def test_armv7m_intrinsic(temp_dir, board, west_cmd, tvm_debug): + """Testing a ARM v7m SIMD extension.""" + + if board not in [ + "mps2_an521", + "stm32f746xx_disco", + "nucleo_f746zg", + "nucleo_l4r5zi", + ]: + pytest.skip(msg="Platform does not support ARM v7m SIMD extenion.") + + model = conftest.ZEPHYR_BOARDS[board] + + build_config = {"debug": tvm_debug} + + this_dir = pathlib.Path(os.path.dirname(__file__)) + testdata_dir = this_dir.parent / "testdata" / "mnist" + + relay_mod, params = _open_tflite_model() + + sample, output_shape = _get_test_data(testdata_dir) + + relay_mod_simd = _apply_desired_layout_simd(relay_mod) + # kernel layout "HWIO" is not supported by arm_cpu SIMD extension (see tvm\python\relay\op\strategy\arm_cpu.py) + relay_mod_no_simd = _apply_desired_layout_no_simd(relay_mod) + + target = tvm.target.target.micro( + model, + options=[ + "-keys=arm_cpu,cpu", + "-link-params=1", + "--executor=aot", + "--unpacked-api=1", + "--interface-api=c", + ], + ) + + temp_dir_simd = temp_dir / "simd" + temp_dir_no_simd = temp_dir / "nosimd" + + os.makedirs(temp_dir_simd, exist_ok=True) + os.makedirs(temp_dir_no_simd, exist_ok=True) + + with tvm.transform.PassContext(opt_level=3, config={"tir.disable_vectorize": True}): + lowered_simd = relay.build(relay_mod_simd, target, params=params) + lowered_no_simd = relay.build(relay_mod_no_simd, target, params=params) + result_simd, time_simd = _run_model( + temp_dir_simd, board, west_cmd, lowered_simd, build_config, sample, output_shape + ) + result_no_simd, time_no_simd = _run_model( + temp_dir_no_simd, board, west_cmd, lowered_no_simd, build_config, sample, output_shape + ) + + assert result_no_simd == result_simd == 2 + + if board not in [ Review comment: Done. Comment added to code. -- 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]
