comaniac commented on a change in pull request #6222: URL: https://github.com/apache/incubator-tvm/pull/6222#discussion_r468047987
########## File path: tests/python/contrib/test_ethosn/infrastructure.py ########## @@ -0,0 +1,225 @@ +# 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. + +"""Expose Ethos test functions to the Python front end""" + +from __future__ import absolute_import, print_function +import tvm +from tvm import relay +from tvm.contrib import util, graph_runtime, download +from tvm.relay.testing import run_opt_pass +from enum import Enum +from hashlib import md5 +from itertools import zip_longest, combinations +import numpy as np +from PIL import Image +import os + +from . import _infrastructure +from tvm.relay.op.contrib import get_pattern_table + + +class Available(Enum): + UNAVAILABLE = 0 + SW_ONLY = 1 + SW_AND_HW = 2 + + +def ethosn_available(): + """Return whether Ethos-N software and hardware support is available""" + if not tvm.get_global_func("relay.ethos-n.query", True): + print("skip because Ethos-N module is not available") + return Available.UNAVAILABLE + else: + hw = tvm.get_global_func("relay.ethos-n.query")() + return Available.SW_AND_HW if hw else Available.SW_ONLY + + +def get_real_image(im_height, im_width): + repo_base = 'https://github.com/dmlc/web-data/raw/master/tensorflow/models/InceptionV1/' + img_name = 'elephant-299.jpg' + image_url = os.path.join(repo_base, img_name) + img_path = download.download_testdata(image_url, img_name, module='data') + image = Image.open(img_path).resize((im_height, im_width)) + x = np.array(image).astype('uint8') + data = np.reshape(x, (1, im_height, im_width, 3)) + return data + + +def assert_lib_hash(lib, golden): + temp = util.tempdir() + path = temp.relpath("lib.cmm") + lib.imported_modules[1].save(path) + lib_hash = md5(open(path, 'rb').read()).hexdigest() + assert lib_hash == golden, "Expected hash: {} Got hash: {}".format(golden, lib_hash) + + +def make_module(func, params): + func = relay.Function(relay.analysis.free_vars(func), func) + if len(params): + relay.build_module.bind_params_by_name(func, params) + return tvm.IRModule.from_expr(func) + + +def make_ethosn_composite(ethosn_expr, name): + vars = relay.analysis.free_vars(ethosn_expr) + func = relay.Function([relay.Var("a")], ethosn_expr) + func = func.with_attr("Composite", name) + call = relay.Call(func, vars) + return call + + +def make_ethosn_partition(ethosn_expr): + # Create an Ethos-N global function + mod = tvm.IRModule({}) + vars = relay.analysis.free_vars(ethosn_expr) + func = relay.Function(vars, ethosn_expr) + func = func.with_attr("Primitive", tvm.tir.IntImm("int32", 1)) + func = func.with_attr("Inline", tvm.tir.IntImm("int32", 1)) + func = func.with_attr("Compiler", "ethos-n") + func = func.with_attr("global_symbol", "ethos-n_0") + g1 = relay.GlobalVar("ethos-n_0") + mod[g1] = func + + # These are the vars to call the Ethos-N partition with + more_vars = relay.analysis.free_vars(ethosn_expr) + # Call the Ethos-N partition in main + call_fn1 = g1(*more_vars) + mod["main"] = relay.Function(more_vars, call_fn1) + return mod + + +def get_cpu_op_count(mod): + class Counter(tvm.relay.ExprVisitor): + def __init__(self): + super().__init__() + self.count = 0 + + def visit_call(self, call): + if isinstance(call.op, tvm.ir.Op): + self.count += 1 + + super().visit_call(call) + + c = Counter() + c.visit(mod["main"]) + return c.count + + +def build(mod, params, npu=True, cpu_ops=0, npu_partitions=1): + relay.backend.compile_engine.get().clear() + with tvm.transform.PassContext(opt_level=3, config={ + "relay.ext.ethos-n.options": {"variant": 0} + }): + with tvm.target.create("llvm -mcpu=core-avx2"): Review comment: Oops...call @zhiics ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
