test_operator_desc.py

#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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 unittest

import paddle.v2.fluid.core as core

from paddle.v2.fluid.framework import Program, default_startup_program

main_program = default_startup_program()


class TestOperator(unittest.TestCase):
    def test_error_type(self):
        block = main_program.create_block()
        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.")
        try:
            block.append_op(type="no_such_op")
            self.assertFail()
        except ValueError as a_err:
            self.assertEqual(a_err.message,
                             "Operator \"no_such_op\" has not been registered.")

    def test_op_desc_creation(self):
        program = Program()
        block = program.current_block()
        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},
            outputs={"Out": [mul_out]},
            attrs={"x_num_col_dims": 1})

        self.assertNotEqual(str(mul_op), "")
        self.assertEqual(mul_op.type, "mul")
        self.assertEqual(mul_op.input_names, ["X", "Y"])
        self.assertEqual(mul_op.input("X"), ["mul.x"])
        self.assertEqual(mul_op.input("Y"), ["mul.y"])
        self.assertEqual(mul_op.output_names, ["Out"])
        self.assertEqual(mul_op.output("Out"), ["mul.out"])
        self.assertEqual(
            set(mul_op.attr_names), set(["x_num_col_dims", "y_num_col_dims"]))
        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)
        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)
        self.assertEqual(mul_op.idx, 0)
        self.assertEqual(mul_out.op, mul_op)

    def test_mult_input(self):
        program = Program()
        block = program.current_block()
        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"])
        self.assertEqual(sum_op.input("X"), ["sum.x1", "sum.x2", "sum.x3"])
        self.assertEqual(sum_op.output_names, ["Out"])
        self.assertEqual(sum_op.output("Out"), ["sum.out"])
        self.assertEqual(sum_op.idx, 0)
        self.assertEqual(sum_out.op, sum_op)


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