areusch commented on code in PR #11619: URL: https://github.com/apache/tvm/pull/11619#discussion_r894020909
########## tests/python/relay/backend/test_pass_lower_te.py: ########## @@ -0,0 +1,241 @@ +# 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. + +# Exercises the LowerTE pass. + +import tvm +import tvm.testing +import logging + +logging.basicConfig() +logger = logging.getLogger("test_pass_lower_te") +logger.setLevel(logging.INFO) + +# Since the TE compiler needs a good refactor it has not been exposed as a 'standard' pass +# in relay.transform. For testing grab it directly. +LowerTE = tvm._ffi.get_global_func("relay.tec.LowerTE") + + +def transform(mod): + logger.info("Starting module:\n%s", mod) + host_target = tvm.target.Target("llvm") + prim_target = tvm.target.Target("llvm", host=host_target) + ctxt = tvm.transform.PassContext() + config = tvm.target.make_compilation_config(ctxt, prim_target) + mod = tvm.relay.transform.PlanDevices(config)(mod) + mod = tvm.relay.transform.InferType()(mod) + mod = LowerTE("test", config)(mod) + mod = tvm.relay.transform.InferType()(mod) + logger.info("After LowerTE:\n%s", mod) + return mod + + +# All attempts to use structural equalty tests against an expected IRModule parsed from +# Relay text were thwarted by the difficulty of setting up the expected call_lower attributes +# with the right GlobalVar instances. So the following assert structural correctness the hard way. + + +def test_lower_primitive(): + input_mod = tvm.parser.parse( + """ + #[version = "0.0.5"] + def @main(%a: Tensor[(5, 7), float32]) -> Tensor[(5, 7), float32] { + %0 = fn(%x : Tensor[(5, 7), float32], %y : Tensor[(5, 7), float32], Primitive=1) -> Tensor[(5, 7), float32] { + add(%x, %y) + }; + %0(%a, %a) + } + """, + "from_string", + None, + None, + ) + + actual_mod = transform(input_mod) + + # Expected: + # def @main(%a: Tensor[(5, 7), float32]) -> Tensor[(5, 7), float32] { + # %0 = (%a, %a); + # call_lowered(@test_fused_add, %0, metadata={relay_attrs={Primitive=1},all_prim_fn_vars=[@test_fused_add]}) + # } + # def @test_fused_add = <lowered PrimFunc> + + main = actual_mod["main"] + call = main.body + assert call.op.name == "call_lowered" Review Comment: i am sad :( -- 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]
