#!/usr/bin/env python3 # 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 TestReverseOp(OpTest): def setUp(self): print(f"\nRunning {self.__class__.__name__}: {self.case}") self.inputs = {} self.prepare_inputs() def prepare_inputs(self): dims = len(self.case["shape"]) axes = self.case["axes"].copy() for i in range(len(axes)): axes[i] = min(axes[i], dims - 1) axes[i] = max(axes[i], -dims) self.inputs = { "x": self.random(self.case["shape"], self.case["dtype"]), "axes": axes, } self.net_builder_api = self.case["net_builder_api"] def build_paddle_program(self, target): x = paddle.to_tensor(self.inputs["x"], stop_gradient=True) if self.net_builder_api == "reverse": out = paddle.reverse(x, self.inputs["axes"]) elif self.net_builder_api == "flip": out = paddle.flip(x, self.inputs["axes"]) else: raise NotImplementedError self.paddle_outputs = [out] def build_cinn_program(self, target): builder = NetBuilder("reverse") x = builder.create_input( self.nptype2cinntype(self.inputs["x"].dtype), self.inputs["x"].shape, "x", ) if self.net_builder_api == "reverse": out = builder.reverse(x, self.inputs["axes"]) elif self.net_builder_api == "flip": out = builder.flip(x, self.inputs["axes"]) else: raise NotImplementedError prog = builder.build() res = self.get_cinn_output(prog, target, [x], [self.inputs["x"]], [out]) self.cinn_outputs = res def test_check_results(self): self.check_outputs_and_grads(all_equal=True) class TestReverseOpShape(TestCaseHelper): def init_attrs(self): self.class_name = "TestReverseOpShape" self.cls = TestReverseOp self.inputs = [ { "shape": [10], }, { "shape": [8, 5], }, { "shape": [10, 3, 5], }, { "shape": [80, 40, 5, 7], }, { "shape": [80, 1, 5, 7], }, { "shape": [80, 3, 1024, 7], }, { "shape": [10, 5, 1024, 2048], }, { "shape": [1], }, { "shape": [512], }, { "shape": [1024], }, { "shape": [2048], }, { "shape": [65536], }, { "shape": [131072], }, { "shape": [1, 1, 1, 1], }, ] self.dtypes = [ {"dtype": "float32"}, ] self.attrs = [ {"axes": [0]}, ] net_builder_api_attrs = [ { "net_builder_api": "reverse", }, { "net_builder_api": "flip", }, ] self._register_custom_attrs(net_builder_api_attrs) class TestReverseOpDtype(TestCaseHelper): def init_attrs(self): self.class_name = "TestReverseOpDtype" self.cls = TestReverseOp self.inputs = [ { "shape": [1], }, { "shape": [5, 10], }, { "shape": [80, 40, 5, 7], }, ] self.dtypes = [ {"dtype": "bool"}, {"dtype": "int32"}, {"dtype": "int64"}, {"dtype": "float16"}, {"dtype": "float32"}, {"dtype": "float64"}, ] self.attrs = [ {"axes": [0]}, ] net_builder_api_attrs = [ { "net_builder_api": "reverse", }, { "net_builder_api": "flip", }, ] self._register_custom_attrs(net_builder_api_attrs) class TestReverseOpAxis(TestCaseHelper): def init_attrs(self): self.class_name = "TestReverseOpAxis" self.cls = TestReverseOp self.inputs = [ { "shape": [8, 4, 2, 16], }, { "shape": [1, 1, 1, 1], }, ] self.dtypes = [ {"dtype": "float32"}, ] self.attrs = [ {"axes": [0]}, {"axes": [1]}, {"axes": [2]}, {"axes": [3]}, {"axes": [-1]}, {"axes": [-2]}, {"axes": [-3]}, {"axes": [-4]}, ] net_builder_api_attrs = [ { "net_builder_api": "reverse", }, { "net_builder_api": "flip", }, ] self._register_custom_attrs(net_builder_api_attrs) class TestReverseOpMultiAxis(TestCaseHelper): def init_attrs(self): self.class_name = "TestReverseOpMultiAxis" self.cls = TestReverseOp self.inputs = [ { "shape": [8, 4, 2, 16], }, { "shape": [1, 1, 1, 1], }, ] self.dtypes = [ {"dtype": "float32"}, ] self.attrs = [ {"axes": []}, {"axes": [0]}, {"axes": [1, 2]}, {"axes": [2, -1, 3]}, {"axes": [0, -3, 3, 1]}, {"axes": [-1]}, {"axes": [-2, -1]}, {"axes": [-3, -2, 3]}, {"axes": [0, 3, -3, -2]}, ] net_builder_api_attrs = [ { "net_builder_api": "reverse", }, { "net_builder_api": "flip", }, ] self._register_custom_attrs(net_builder_api_attrs) if __name__ == "__main__": TestReverseOpShape().run() TestReverseOpDtype().run() TestReverseOpAxis().run() TestReverseOpMultiAxis().run()