mkatanbaf commented on code in PR #13514: URL: https://github.com/apache/tvm/pull/13514#discussion_r1063873557
########## python/tvm/contrib/micro/meta_schedule/test_autotune_ms.py: ########## @@ -0,0 +1,181 @@ +# 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 numpy as np +import pytest +from types import MappingProxyType +import pathlib +import json + +import tvm +from tvm import relay +from tvm.relay.backend import Executor +from tvm.contrib import graph_executor, utils +from tvm import meta_schedule as ms +from tvm.contrib.micro.meta_schedule.local_builder_micro import get_micro_local_builder +from tvm.contrib.micro.meta_schedule.rpc_runner_micro import get_rpc_runner_micro + + +def get_module(): + data_shape = (1, 3, 16, 16) + weight_shape = (8, 3, 5, 5) + data = relay.var("data", relay.TensorType(data_shape, "float32")) + weight = relay.var("weight", relay.TensorType(weight_shape, "float32")) + y = relay.nn.conv2d( + data, + weight, + padding=(2, 2), + kernel_size=(5, 5), + kernel_layout="OIHW", + out_dtype="float32", + ) + f = relay.Function([data, weight], y) + mod = tvm.IRModule.from_expr(f) + mod = relay.transform.InferType()(mod) + + weight_sample = np.random.rand( + weight_shape[0], weight_shape[1], weight_shape[2], weight_shape[3] + ).astype("float32") + params = {mod["main"].params[1].name_hint: weight_sample} + + model_info = { + "in_tensor": "data", + "in_shape": data_shape, + "in_dtype": "float32", + } + + return mod, params, model_info + + [email protected]_micro [email protected]( + "platform, options", + [ + pytest.param("crt", None), + pytest.param( + "zephyr", + { + "board": "qemu_x86", + "project_type": "host_driven", + }, + ), + ], +) +def test_micro_tuning_with_meta_schedule(platform, options): + if platform == "crt": + target = tvm.target.target.micro(model="host") + else: + boards_file = ( + pathlib.Path(tvm.micro.get_microtvm_template_projects("zephyr")) / "boards.json" + ) + with open(boards_file) as f: + boards = json.load(f) + target = tvm.target.target.micro( + model=boards[options["board"]]["model"], options="-mcpu=cortex-m4" Review Comment: I removed the `RewriteLayout(),` in postprocessing steps to fix this -- 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]
