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72 lines
2.0 KiB
72 lines
2.0 KiB
import unittest
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import paddle.v2.fluid.core as core
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class TestInferShape(unittest.TestCase):
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def test_sum_op(self):
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prog = core.ProgramDesc()
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self.assertIsNotNone(prog)
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block = prog.block(0)
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self.assertIsNotNone(block)
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shape = [10, 20]
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# prepare input/output
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x1 = block.var("x1")
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x1.set_type(core.VarDesc.VarType.LOD_TENSOR)
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x1.set_shape(shape)
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x2 = block.var("x2")
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x2.set_type(core.VarDesc.VarType.LOD_TENSOR)
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x2.set_shape(shape)
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out = block.var("out")
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out.set_type(core.VarDesc.VarType.LOD_TENSOR)
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# prepare the operator
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sum_op_desc = block.append_op()
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sum_op_desc.set_type("sum")
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sum_op_desc.set_input("X", ["x1", "x2"])
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sum_op_desc.set_output("Out", ["out"])
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sum_op_desc.check_attrs()
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sum_op_desc.infer_shape(block)
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self.assertEqual(out.shape(), shape)
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def test_mul_op(self):
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prog = core.ProgramDesc()
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self.assertIsNotNone(prog)
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block = prog.block(0)
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self.assertIsNotNone(block)
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x_shape = [10, 20]
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y_shape = [20, 30]
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# prepare input/output
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x1 = block.var("x")
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x1.set_type(core.VarDesc.VarType.LOD_TENSOR)
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x1.set_shape(x_shape)
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x2 = block.var("y")
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x2.set_type(core.VarDesc.VarType.LOD_TENSOR)
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x2.set_shape(y_shape)
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out = block.var("out")
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out.set_type(core.VarDesc.VarType.LOD_TENSOR)
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# prepare the operator
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mul_op_desc = block.append_op()
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mul_op_desc.set_type("mul")
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mul_op_desc.set_input("X", ["x"])
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mul_op_desc.set_input("Y", ["y"])
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mul_op_desc.set_output("Out", ["out"])
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mul_op_desc.set_attr("x_num_col_dims", 1)
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mul_op_desc.set_attr("y_num_col_dims", 1)
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mul_op_desc.check_attrs()
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mul_op_desc.infer_shape(block)
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self.assertEqual(out.shape(), [x_shape[0], y_shape[1]])
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if __name__ == '__main__':
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unittest.main()
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