# Copyright (c) 2023 CINN Authors. All Rights Reserved. # Licensed 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. from cinn.common import * from cinn.frontend import * from op_test import OpTest, OpTestTool from op_test_helper import TestCaseHelper import paddle @OpTestTool.skip_if( not is_compiled_with_cuda(), "x86 test will be skipped due to timeout." ) class TestLogicalNotOp(OpTest): def setUp(self): print(f"\nRunning {self.__class__.__name__}: {self.case}") self.prepare_inputs() def prepare_inputs(self): self.x_np = self.random( shape=self.case["x_shape"], dtype=self.case["x_dtype"], low=-10, high=100, ) def build_paddle_program(self, target): x = paddle.to_tensor(self.x_np, stop_gradient=False) out = paddle.logical_not(x) self.paddle_outputs = [out] def build_cinn_program(self, target): builder = NetBuilder("logical_not") x = builder.create_input( self.nptype2cinntype(self.case["x_dtype"]), self.case["x_shape"], "x", ) out = builder.logical_not(x) prog = builder.build() res = self.get_cinn_output(prog, target, [x], [self.x_np], [out]) self.cinn_outputs = res def test_check_results(self): self.check_outputs_and_grads(all_equal=True) class TestLogicalNotCase1(TestCaseHelper): def init_attrs(self): self.class_name = "TestLogicalNotCase1" self.cls = TestLogicalNotOp self.inputs = [{"x_shape": [512, 256]}] self.dtypes = [ {"x_dtype": "bool"}, {"x_dtype": "int8"}, {"x_dtype": "int16"}, {"x_dtype": "int32"}, {"x_dtype": "int64"}, {"x_dtype": "float32"}, {"x_dtype": "float64"}, ] self.attrs = [] class TestLogicalNotCase2(TestCaseHelper): def init_attrs(self): self.class_name = "TestLogicalNotCase2" self.cls = TestLogicalNotOp self.inputs = [ {"x_shape": [1]}, {"x_shape": [1024]}, {"x_shape": [512, 256]}, {"x_shape": [128, 64, 32]}, {"x_shape": [128, 2048, 32]}, {"x_shape": [16, 8, 4, 2]}, {"x_shape": [1, 1, 1, 1]}, {"x_shape": [16, 8, 4, 2, 1]}, ] self.dtypes = [{"x_dtype": "bool"}] self.attrs = [] class TestLogicalNotCaseWithBroadcast1(TestCaseHelper): def init_attrs(self): self.class_name = "TestLogicalNotCaseWithBroadcast1" self.cls = TestLogicalNotOp self.inputs = [{"x_shape": [56]}] self.dtypes = [ {"x_dtype": "bool"}, {"x_dtype": "int8"}, {"x_dtype": "int16"}, {"x_dtype": "int32"}, {"x_dtype": "int64"}, {"x_dtype": "float32"}, {"x_dtype": "float64"}, ] self.attrs = [] class TestLogicalNotCaseWithBroadcast2(TestCaseHelper): def init_attrs(self): self.class_name = "TestLogicalNotCaseWithBroadcast2" self.cls = TestLogicalNotOp self.inputs = [ {"x_shape": [56]}, {"x_shape": [1024]}, {"x_shape": [512, 256]}, {"x_shape": [128, 64, 32]}, {"x_shape": [16, 1, 1, 2]}, {"x_shape": [16, 1, 1, 2, 1]}, ] self.dtypes = [{"x_dtype": "bool"}] self.attrs = [] if __name__ == "__main__": TestLogicalNotCase1().run() TestLogicalNotCase2().run() TestLogicalNotCaseWithBroadcast1().run() TestLogicalNotCaseWithBroadcast2().run()