From aa891d0c224f18c1500e2df13f8c6b9ca644adb3 Mon Sep 17 00:00:00 2001 From: MayYouBeProsperous Date: Fri, 2 Jun 2023 10:53:09 +0800 Subject: [PATCH 1/2] fix bugs --- python/tests/ops/test_negative_op.py | 121 +++++++++++++++++++++++++++ 1 file changed, 121 insertions(+) create mode 100644 python/tests/ops/test_negative_op.py diff --git a/python/tests/ops/test_negative_op.py b/python/tests/ops/test_negative_op.py new file mode 100644 index 0000000000..73643e35ea --- /dev/null +++ b/python/tests/ops/test_negative_op.py @@ -0,0 +1,121 @@ +#!/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. + +import numpy as np +from op_test import OpTest, OpTestTool +from op_test_helper import TestCaseHelper +import paddle +import cinn +from cinn.frontend import * +from cinn.common import * + + +@OpTestTool.skip_if(not is_compiled_with_cuda(), + "x86 test will be skipped due to timeout.") +class TestNegativeOp(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"], + min=-100, + max=100) + + def build_paddle_program(self, target): + x = paddle.to_tensor(self.x_np, stop_gradient=True) + out = paddle.neg(x) + self.paddle_outputs = [out] + + def build_cinn_program(self, target): + builder = NetBuilder("unary_elementwise_test") + x = builder.create_input( + self.nptype2cinntype(self.case["x_dtype"]), self.case["x_shape"], + "x") + out = builder.negative(x) + prog = builder.build() + res = self.get_cinn_output(prog, target, [x], [self.x_np], [out]) + + self.cinn_outputs = [res[0]] + + def test_check_results(self): + self.check_outputs_and_grads() + + +class TestNegativeOpShape(TestCaseHelper): + def init_attrs(self): + self.class_name = "TestNegativeOpShape" + self.cls = TestNegativeOp + self.inputs = [{ + "x_shape": [1], + }, { + "x_shape": [1024], + }, { + "x_shape": [1, 2048], + }, { + "x_shape": [32, 64], + }, { + "x_shape": [1, 1, 1], + }, { + "x_shape": [16, 8, 4, 2], + }, { + "x_shape": [16, 8, 4, 2, 1], + }] + self.dtypes = [{ + "x_dtype": "float32", + }] + self.attrs = [] + + +class TestNegativeOpDtype(TestCaseHelper): + def init_attrs(self): + self.class_name = "TestNegativeOpDtype" + self.cls = TestNegativeOp + self.inputs = [{ + "x_shape": [32, 64], + }] + self.dtypes = [ + { + "x_dtype": "int8", + }, + { + "x_dtype": "int16", + }, + { + "x_dtype": "int32", + }, + { + "x_dtype": "int64", + }, + { + "x_dtype": "float16", + "max_relative_error": 1e-3 + }, + { + "x_dtype": "float32", + }, + { + "x_dtype": "float64", + }, + ] + self.attrs = [] + + +if __name__ == "__main__": + TestNegativeOpShape().run() + TestNegativeOpDtype().run() From cf4754b55bc4afa31d621f93159765359d64e5ca Mon Sep 17 00:00:00 2001 From: MayYouBeProsperous Date: Fri, 2 Jun 2023 13:48:57 +0800 Subject: [PATCH 2/2] fix bug --- python/tests/ops/test_negative_op.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/tests/ops/test_negative_op.py b/python/tests/ops/test_negative_op.py index 73643e35ea..cb26fd777a 100644 --- a/python/tests/ops/test_negative_op.py +++ b/python/tests/ops/test_negative_op.py @@ -34,8 +34,8 @@ def prepare_inputs(self): self.x_np = self.random( shape=self.case["x_shape"], dtype=self.case["x_dtype"], - min=-100, - max=100) + low=-100, + high=100) def build_paddle_program(self, target): x = paddle.to_tensor(self.x_np, stop_gradient=True)