“d1b0e069e8eecefaca2106d03f6383137ee7d886”上不存在“src/kit/git@gitcode.net:taosdata/tdengine.git”
test_operator_desc.py 4.0 KB
Newer Older
1
#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
D
dzhwinter 已提交
2
#
D
dzhwinter 已提交
3 4 5
# 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
D
dzhwinter 已提交
6
#
D
dzhwinter 已提交
7
#     http://www.apache.org/licenses/LICENSE-2.0
D
dzhwinter 已提交
8
#
D
dzhwinter 已提交
9 10 11 12 13 14
# 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.

F
fengjiayi 已提交
15
import unittest
Y
Yu Yang 已提交
16

17
import paddle.fluid.core as core
F
fengjiayi 已提交
18

19
from paddle.fluid.framework import Program, default_startup_program
Y
Yu Yang 已提交
20 21 22

main_program = default_startup_program()

F
fengjiayi 已提交
23 24 25

class TestOperator(unittest.TestCase):
    def test_error_type(self):
Y
Yu Yang 已提交
26
        block = main_program.create_block()
F
fengjiayi 已提交
27 28 29 30 31 32 33
        try:
            block.append_op()
            self.assertFail()
        except ValueError as v_err:
            self.assertEqual(
                v_err.message,
                "`type` to initilized an Operator can not be None.")
F
fengjiayi 已提交
34 35 36
        try:
            block.append_op(type="no_such_op")
            self.assertFail()
Y
Yu Yang 已提交
37
        except ValueError as a_err:
F
fengjiayi 已提交
38
            self.assertEqual(a_err.message,
F
fengjiayi 已提交
39
                             "Operator \"no_such_op\" has not been registered.")
F
fengjiayi 已提交
40

F
fengjiayi 已提交
41
    def test_op_desc_creation(self):
42 43
        program = Program()
        block = program.current_block()
F
fengjiayi 已提交
44 45 46 47 48 49 50 51 52 53
        mul_x = block.create_var(
            dtype="float32", shape=[5, 10], lod_level=0, name="mul.x")
        mul_y = block.create_var(
            dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
        mul_out = block.create_var(
            dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
        mul_op = block.append_op(
            type="mul",
            inputs={"X": [mul_x],
                    "Y": mul_y},
F
fengjiayi 已提交
54 55
            outputs={"Out": [mul_out]},
            attrs={"x_num_col_dims": 1})
56 57

        self.assertNotEqual(str(mul_op), "")
F
fengjiayi 已提交
58 59
        self.assertEqual(mul_op.type, "mul")
        self.assertEqual(mul_op.input_names, ["X", "Y"])
F
fengjiayi 已提交
60 61
        self.assertEqual(mul_op.input("X"), ["mul.x"])
        self.assertEqual(mul_op.input("Y"), ["mul.y"])
F
fengjiayi 已提交
62
        self.assertEqual(mul_op.output_names, ["Out"])
F
fengjiayi 已提交
63
        self.assertEqual(mul_op.output("Out"), ["mul.out"])
64
        self.assertEqual(
65 66
            set(mul_op.attr_names),
            set(["x_num_col_dims", "y_num_col_dims", "use_mkldnn"]))
F
fengjiayi 已提交
67 68 69
        self.assertEqual(mul_op.has_attr("x_num_col_dims"), True)
        self.assertEqual(mul_op.attr_type("x_num_col_dims"), core.AttrType.INT)
        self.assertEqual(mul_op.attr("x_num_col_dims"), 1)
70 71 72
        self.assertEqual(mul_op.has_attr("y_num_col_dims"), True)
        self.assertEqual(mul_op.attr_type("y_num_col_dims"), core.AttrType.INT)
        self.assertEqual(mul_op.attr("y_num_col_dims"), 1)
73
        self.assertEqual(mul_op.idx, 0)
F
fengjiayi 已提交
74
        self.assertEqual(mul_out.op, mul_op)
F
fengjiayi 已提交
75 76

    def test_mult_input(self):
77 78
        program = Program()
        block = program.current_block()
F
fengjiayi 已提交
79 80 81 82 83 84 85 86 87 88 89 90 91 92
        sum_x1 = block.create_var(
            dtype="int", shape=[3, 4], lod_level=0, name="sum.x1")
        sum_x2 = block.create_var(
            dtype="int", shape=[3, 4], lod_level=0, name="sum.x2")
        sum_x3 = block.create_var(
            dtype="int", shape=[3, 4], lod_level=0, name="sum.x3")
        sum_out = block.create_var(
            dtype="int", shape=[3, 4], lod_level=0, name="sum.out")
        sum_op = block.append_op(
            type="sum",
            inputs={"X": [sum_x1, sum_x2, sum_x3]},
            outputs={"Out": sum_out})
        self.assertEqual(sum_op.type, "sum")
        self.assertEqual(sum_op.input_names, ["X"])
F
fengjiayi 已提交
93
        self.assertEqual(sum_op.input("X"), ["sum.x1", "sum.x2", "sum.x3"])
F
fengjiayi 已提交
94
        self.assertEqual(sum_op.output_names, ["Out"])
F
fengjiayi 已提交
95
        self.assertEqual(sum_op.output("Out"), ["sum.out"])
96
        self.assertEqual(sum_op.idx, 0)
F
fengjiayi 已提交
97
        self.assertEqual(sum_out.op, sum_op)
F
fengjiayi 已提交
98 99 100 101


if __name__ == '__main__':
    unittest.main()