# 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 scipy from scipy import special import tvm import tvm.relay as relay import topi from tvm import te from tvm.contrib import graph_runtime def test_fastmath(): def test_apply(relay_op, name, f_numpy, low, high, step, dtype="float32"): a_np = np.arange(low, high, step).astype(dtype) b_np = f_numpy(a_np) x = relay.var("x", shape=a_np.shape, dtype="float32") y = relay_op(x) func = relay.Function([x], y) mod = tvm.IRModule.from_expr(func) with relay.build_config(opt_level=3, required_pass=['FastMath']): graph, lib, params = relay.build(mod, target="llvm", params=None) # Check that the op related to fast math have been convered to function in lib func_name = "fused_" + name assert lib.get_function(func_name) ctx = tvm.cpu(0) m = graph_runtime.create(graph, lib, ctx) # Set inputs m.set_input('x', tvm.nd.array(a_np, ctx)) m.set_input(**params) # Execute m.run() # Get outputs tvm_output = m.get_output(0) tvm.testing.assert_allclose(tvm_output.asnumpy(), b_np, rtol=1e-5, atol=1e-5) test_apply(relay.exp, "fast_exp", np.exp, low=-88, high=88, step=0.01) test_apply(relay.erf, "fast_erf", scipy.special.erf, low=-10, high=10, step=0.01) test_apply(relay.tanh, "fast_tanh", np.tanh, low=-10, high=10, step=0.01) if __name__ == "__main__": test_fastmath()