mbarrett97 commented on a change in pull request #4771: [Relay] Added Merge Composite pass URL: https://github.com/apache/incubator-tvm/pull/4771#discussion_r377133432
########## File path: tests/python/relay/test_pass_merge_composite.py ########## @@ -0,0 +1,158 @@ +# 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. +"""Unit tests for merge composite.""" +from tvm import relay +from tvm.relay.testing import run_opt_pass + + +def make_add_sub_mul_pattern(): + """Create a pattern to match the following graph. + + add sub + \ / + \ / + mul + """ + x = relay.var('x') + y = relay.var('y') + add_node = relay.add(x, y) + sub_node = relay.subtract(x, y) + mul_node = relay.multiply(add_node, sub_node) + return mul_node + + +def make_add_relu_pattern(): + """Create a pattern to match the following graph. + + add + | + ReLu + """ + x = relay.var('x') + y = relay.var('y') + add_node = relay.add(x, y) + r = relay.nn.relu(add_node) + return r + + +def test_simple_merge(): + """Test composite function is correctly produced from simple graph. + + We could expect the pattern `make_add_relu_pattern` to be merged + into a single op `add_relu`. + + a b + \ / a b + add ====> \ / + | add_relu + ReLu + + """ + pattern_table = { + "add_sub_mul": make_add_relu_pattern() + } + + def before(): + a = relay.var('a', shape=(10, 10)) + b = relay.var('b', shape=(10, 10)) + add_node = relay.add(a, b) + r = relay.nn.relu(add_node) + return relay.Function([a, b], r) + + def expected(): + a = relay.var('a', shape=(10, 10)) + b = relay.var('b', shape=(10, 10)) + + # add_relu function + in_1 = relay.var('in_1', shape=(10, 10)) + in_2 = relay.var('in_2', shape=(10, 10)) + add_node = relay.add(in_1, in_2) + relu_node = relay.nn.relu(add_node) + add_relu = relay.Function([in_1, in_2], relu_node) + + # merged function + r = relay.Call(add_relu, [a, b]) + return relay.Function([a, b], r) + + result = run_opt_pass(before(), relay.transform.MergeComposite(pattern_table)) + expected = run_opt_pass(expected(), relay.transform.InferType()) + assert relay.analysis.alpha_equal(result, expected) + Review comment: Unfortunately this doesn't seem to be exposed by the Python API (I can set attributes but not retrieve them). ---------------------------------------------------------------- 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 With regards, Apache Git Services
