#!/usr/bin/env python3 # Copyright (c) 2021 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. import numpy as np 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 TestFillConstantOp(OpTest): def setUp(self): print(f"\nRunning {self.__class__.__name__}: {self.case}") self.inputs = {} self.prepare_inputs() def prepare_inputs(self): self.shape = self.case["shape"] self.value = self.case["value"] self.dtype = self.case["dtype"] if isinstance(self.value, str): dtypes = ["bool", "int", "float"] for dtype in dtypes: if dtype in self.dtype: try: self.value = eval(f"{dtype}(self.value)") except: self.value = eval(f"{dtype}(0)") def build_paddle_program(self, target): if self.dtype == None: x = np.full(self.shape, self.value) x = paddle.to_tensor(x) else: x = paddle.full(self.shape, self.value, dtype=self.dtype) self.paddle_outputs = [x] def build_cinn_program(self, target): builder = NetBuilder("fill_constant") if self.dtype == None: x = builder.fill_constant(self.shape, self.value, "out") else: x = builder.fill_constant(self.shape, self.value, "out", self.dtype) prog = builder.build() res = self.get_cinn_output(prog, target, [], [], [x]) self.cinn_outputs = res def test_check_results(self): self.check_outputs_and_grads(all_equal=True) class TestFillConstantOpShape(TestCaseHelper): def init_attrs(self): self.class_name = "TestFillConstantOpShape" self.cls = TestFillConstantOp self.inputs = [ { "shape": [10], }, { "shape": [8, 5], }, { "shape": [10, 3, 5], }, { "shape": [1, 2, 4, 8], }, { "shape": [16, 4, 8, 32], }, { "shape": [1], }, { "shape": [512], }, { "shape": [1024], }, { "shape": [2048], }, { "shape": [1, 1, 1, 1], }, ] self.dtypes = [ {"dtype": "float32"}, ] self.attrs = [ {"value": 123.456}, ] class TestFillConstantOpDtype(TestCaseHelper): def init_attrs(self): self.class_name = "TestFillConstantOpDtype" self.cls = TestFillConstantOp self.inputs = [ { "shape": [10], }, { "shape": [8, 5], }, { "shape": [10, 3, 5], }, { "shape": [1, 2, 4, 8], }, ] self.dtypes = [ {"dtype": "float16"}, {"dtype": "float32"}, {"dtype": "float64"}, {"dtype": "bool"}, {"dtype": "uint8"}, {"dtype": "int32"}, {"dtype": "int64"}, ] self.attrs = [ {"value": 123.456}, ] class TestFillConstantOpValue(TestCaseHelper): def init_attrs(self): self.class_name = "TestFillConstantOpValue" self.cls = TestFillConstantOp self.inputs = [ { "shape": [10], }, { "shape": [8, 5], }, { "shape": [10, 3, 5], }, { "shape": [1, 2, 4, 8], }, ] self.dtypes = [ {"dtype": None}, ] self.attrs = [ {"value": bool(True)}, {"value": int(123)}, {"value": float(123.456)}, ] class TestFillConstantOpStrValue(TestCaseHelper): def init_attrs(self): self.class_name = "TestFillConstantOpStrValue" self.cls = TestFillConstantOp self.inputs = [ { "shape": [10], }, { "shape": [8, 5], }, { "shape": [10, 3, 5], }, { "shape": [1, 2, 4, 8], }, ] self.dtypes = [ {"dtype": "float16"}, {"dtype": "float32"}, {"dtype": "float64"}, {"dtype": "bool"}, {"dtype": "uint8"}, {"dtype": "int32"}, {"dtype": "int64"}, ] self.attrs = [ {"value": "1024"}, {"value": "0.12345678987654321"}, ] if __name__ == "__main__": TestFillConstantOpShape().run() TestFillConstantOpDtype().run() TestFillConstantOpValue().run() TestFillConstantOpStrValue().run()