Menooker commented on a change in pull request #5601: URL: https://github.com/apache/incubator-tvm/pull/5601#discussion_r439704765
########## File path: tests/python/unittest/test_tir_transform_bf16_legalize.py ########## @@ -0,0 +1,152 @@ +# 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 tvm +import topi +from tvm import te +from tvm.tir import const + + +def lower_stmt(sche, params, passfunc): + func = tvm.driver.build_module.form_irmodule(sche, params, "main", None)["main"] + func = passfunc()( + tvm.IRModule.from_expr(func))["main"] + stmt = func.body + return stmt + + +def test_promote(): + def runpass(op, passfunc): + a = te.placeholder((100,), dtype='bfloat16') + b = te.placeholder((100,), dtype='bfloat16') + c = te.compute((100,), lambda i: op(a[i], b[i])) + s = te.create_schedule(c.op) + return lower_stmt(s, [a, b, c], passfunc) + + def get_promoted(op): + a = te.placeholder((100,), dtype='bfloat16') + b = te.placeholder((100,), dtype='bfloat16') + c = te.compute((100,), lambda i: + topi.cast(op(topi.cast(a[i],'float'), + topi.cast(b[i],'float')), 'bfloat16') + ) + s = te.create_schedule(c.op) + func = tvm.driver.build_module.form_irmodule(s, [a,b,c], "main", None)["main"] + return func.body + + def test_promoted(op): + stmt = runpass(op, tvm.tir.transform.BF16Promote) + tvm.ir.assert_structural_equal(stmt, get_promoted(op)) + test_promoted(topi.add) + test_promoted(topi.subtract) + test_promoted(topi.multiply) + test_promoted(topi.divide) + +def test_eliminate(): + def to32(v): + return topi.cast(v, 'float') + def to16(v): + return topi.cast(v, 'bfloat16') + def get_eliminated(): + a = te.placeholder((100,), dtype='bfloat16') + b = te.placeholder((100,), dtype='bfloat16') + c = te.compute((100,), lambda i: to16( + topi.add( + to32( + to16( + topi.add( + to32(a[i]), + to32(b[i]), + ) + ) + ), + to32( + to16( + topi.add( + to32(a[i]), + to32(b[i]), + ) + ) + ) + ) + )) + s = te.create_schedule(c.op) + stmt = lower_stmt(s, [a, b, c], tvm.tir.transform.BF16CastElimination) + return stmt + + def get_target(): + a = te.placeholder((100,), dtype='bfloat16') + b = te.placeholder((100,), dtype='bfloat16') + c = te.compute((100,), lambda i: to16( + topi.add(topi.add( + to32(a[i]), + to32(b[i]), + ), + topi.add( + to32(a[i]), + to32(b[i]), + ) + ) + )) + s = te.create_schedule(c.op) + func = tvm.driver.build_module.form_irmodule(s, [a,b,c], "main", None)["main"] + return func.body + tvm.ir.assert_structural_equal(get_eliminated(), get_target()) + +def test_legalize(): + def to32(v): + uint32_v = topi.cast(v, "uint32") + uint32_v = tvm.tir.call_pure_intrin("uint32", "shift_left", uint32_v, tvm.tir.const(16, "uint32")) + return tvm.tir.call_pure_intrin("float32", "reinterpret", uint32_v) + def to16(v): + uint32_v = tvm.tir.call_pure_intrin("uint32", "reinterpret", v) + rounding_bias = tvm.tir.call_pure_intrin("uint32", "shift_right", uint32_v, tvm.tir.const(16, "uint32")) + rounding_bias = tvm.tir.call_pure_intrin("uint32", "bitwise_and", rounding_bias, tvm.tir.const(1, "uint32")) + rounding_bias = rounding_bias + tvm.tir.const(0x7FFF, "uint16") + uint32_v = uint32_v + rounding_bias + uint32_v = tvm.tir.call_pure_intrin("uint32", "shift_right", uint32_v, tvm.tir.const(16, "uint32")) + return topi.cast(uint32_v, 'uint16') + + def check(fcompute_before, fcompute_after): + a = te.placeholder((100,), dtype='bfloat16', name = 'A') + b = te.placeholder((100,), dtype='bfloat16', name = 'B') + c = te.compute((100,), fcompute_before(a,b), name = 'C') + s = te.create_schedule(c.op) + stmt = lower_stmt(s, [a, b, c], tvm.tir.transform.BF16Legalize) + + a = te.placeholder((100,), dtype='uint16', name = 'A') + b = te.placeholder((100,), dtype='uint16', name = 'B') + c = te.compute((100,), fcompute_after(a,b), name = 'C') + s = te.create_schedule(c.op) + func = tvm.driver.build_module.form_irmodule(s, [a,b,c], "main", None)["main"] + tvm.ir.assert_structural_equal(stmt, func.body) + + def orig1(a,b): + return lambda i: a[i]+b[i]+a[99-i]+b[99-i] + def after1(a,b): + return lambda i: to16(to32(a[i])+to32(b[i])+to32(a[99-i])+to32(b[99-i])) + def orig2(a,b): + return lambda i: a[i]*b[i]+a[99-i]*b[99-i]+a[i] + def after2(a,b): + return lambda i: to16(to32(a[i])*to32(b[i])+to32(a[99-i])*to32(b[99-i])+to32(a[i])) Review comment: Sorry for that. Now I have formatted and manually run pylint on this test file. BTW, the test python files are never checked in TVM CI's pylint :) ---------------------------------------------------------------- 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
