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87 lines
3.4 KiB
87 lines
3.4 KiB
import unittest
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import paddle.v2.fluid.core as core
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from paddle.v2.fluid.framework import Program, default_startup_program
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main_program = default_startup_program()
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class TestOperator(unittest.TestCase):
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def test_error_type(self):
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block = main_program.create_block()
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try:
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block.append_op()
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self.assertFail()
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except ValueError as v_err:
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self.assertEqual(
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v_err.message,
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"`type` to initilized an Operator can not be None.")
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try:
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block.append_op(type="no_such_op")
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self.assertFail()
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except ValueError as a_err:
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self.assertEqual(a_err.message,
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"Operator \"no_such_op\" has not been registered.")
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def test_op_desc_creation(self):
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program = Program()
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block = program.current_block()
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mul_x = block.create_var(
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dtype="float32", shape=[5, 10], lod_level=0, name="mul.x")
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mul_y = block.create_var(
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dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
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mul_out = block.create_var(
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dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
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mul_op = block.append_op(
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type="mul",
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inputs={"X": [mul_x],
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"Y": mul_y},
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outputs={"Out": [mul_out]},
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attrs={"x_num_col_dims": 1})
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self.assertNotEqual(str(mul_op), "")
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self.assertEqual(mul_op.type, "mul")
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self.assertEqual(mul_op.input_names, ["X", "Y"])
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self.assertEqual(mul_op.input("X"), ["mul.x"])
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self.assertEqual(mul_op.input("Y"), ["mul.y"])
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self.assertEqual(mul_op.output_names, ["Out"])
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self.assertEqual(mul_op.output("Out"), ["mul.out"])
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self.assertEqual(
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set(mul_op.attr_names), set(["x_num_col_dims", "y_num_col_dims"]))
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self.assertEqual(mul_op.has_attr("x_num_col_dims"), True)
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self.assertEqual(mul_op.attr_type("x_num_col_dims"), core.AttrType.INT)
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self.assertEqual(mul_op.attr("x_num_col_dims"), 1)
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self.assertEqual(mul_op.has_attr("y_num_col_dims"), True)
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self.assertEqual(mul_op.attr_type("y_num_col_dims"), core.AttrType.INT)
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self.assertEqual(mul_op.attr("y_num_col_dims"), 1)
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self.assertEqual(mul_op.idx, 0)
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self.assertEqual(mul_out.op, mul_op)
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def test_mult_input(self):
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program = Program()
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block = program.current_block()
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sum_x1 = block.create_var(
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dtype="int", shape=[3, 4], lod_level=0, name="sum.x1")
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sum_x2 = block.create_var(
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dtype="int", shape=[3, 4], lod_level=0, name="sum.x2")
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sum_x3 = block.create_var(
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dtype="int", shape=[3, 4], lod_level=0, name="sum.x3")
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sum_out = block.create_var(
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dtype="int", shape=[3, 4], lod_level=0, name="sum.out")
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sum_op = block.append_op(
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type="sum",
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inputs={"X": [sum_x1, sum_x2, sum_x3]},
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outputs={"Out": sum_out})
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self.assertEqual(sum_op.type, "sum")
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self.assertEqual(sum_op.input_names, ["X"])
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self.assertEqual(sum_op.input("X"), ["sum.x1", "sum.x2", "sum.x3"])
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self.assertEqual(sum_op.output_names, ["Out"])
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self.assertEqual(sum_op.output("Out"), ["sum.out"])
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self.assertEqual(sum_op.idx, 0)
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self.assertEqual(sum_out.op, sum_op)
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if __name__ == '__main__':
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unittest.main()
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