# Copyright (c) 2018 PaddlePaddle 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 unittest import paddle.fluid.core as core class TestOpDesc(unittest.TestCase): def test_op_desc(self): prog = core.ProgramDesc() self.assertIsNotNone(prog) block = prog.block(0) self.assertIsNotNone(block) op = block.append_op() self.assertIsNotNone(op) op.set_type("test") self.assertEqual("test", op.type()) op.set_input("X", ["a", "b", "c"]) self.assertEqual(["a", "b", "c"], op.input("X")) self.assertEqual(["X"], op.input_names()) op.set_output("Out", ["z"]) self.assertEqual(['z'], op.output("Out")) self.assertEqual(["Out"], op.output_names()) op.set_attr("int_attr", 1) self.assertEqual(1, op.attr("int_attr")) self.assertTrue(op.has_attr("int_attr")) self.assertEqual(core.AttrType.INT, op.attr_type("int_attr")) op.set_attr("float_attr", -1.32) self.assertAlmostEqual(-1.32, op.attr("float_attr"), delta=1e-4) self.assertTrue(op.has_attr("float_attr")) op.set_attr("bool_attr", False) self.assertFalse(op.attr("bool_attr")) op.set_attr("string_attr", "abc") self.assertEqual("abc", op.attr("string_attr")) self.assertTrue(op.has_attr("string_attr")) op.set_attr("ints_attr", [1, 2, 3]) self.assertEqual([1, 2, 3], op.attr("ints_attr")) expected = [1.2, 2.3, 3.4] op.set_attr("floats_attr", expected) for e, a in zip(expected, op.attr("floats_attr")): self.assertAlmostEqual(e, a, delta=1e-4) op.set_attr("strings_attr", ["a", "b", "c"]) self.assertEqual(["a", "b", "c"], op.attr("strings_attr")) op.set_attr("bools_attr", [True, False, True]) self.assertEqual([True, False, True], op.attr("bools_attr")) self.assertEqual(8, len(op.attr_names())) op.set_block_attr("block_attr", prog.block(0)) self.assertEqual(0, op.block_attr("block_attr")) mul_op = block.append_op() mul_op.set_type("mul") mul_op.check_attrs() self.assertEqual(mul_op.attr("x_num_col_dims"), 1) self.assertEqual(mul_op.attr("y_num_col_dims"), 1) class TestProgramDesc(unittest.TestCase): def test_instance(self): program_desc = core.ProgramDesc() self.assertIsNotNone(program_desc) del program_desc program_desc = core.ProgramDesc() self.assertIsNotNone(program_desc) self.assertIsNotNone(program_desc.block(0)) del program_desc def test_append_block(self): prog_desc = core.ProgramDesc() self.assertIsNotNone(prog_desc) block_root = prog_desc.block(0) self.assertIsNotNone(block_root) self.assertEqual(block_root.id, 0) block1 = prog_desc.append_block(block_root) block2 = prog_desc.append_block(block1) self.assertIsNotNone(block1) self.assertEqual(block1.id, block2.parent) self.assertEqual(block_root.id, block1.parent) block3 = prog_desc.append_block(block_root) self.assertEqual(block3.parent, block_root.id) self.assertEqual(prog_desc.block(1).id, 1) self.assertEqual(4, prog_desc.num_blocks()) class TestVarDesc(unittest.TestCase): def test_shape(self): program_desc = core.ProgramDesc() block = program_desc.block(0) var = block.var('my_var') var.set_type(core.VarDesc.VarType.SELECTED_ROWS) src_shape = [3, 2, 10, 8] var.set_shape(src_shape) res_shape = var.shape() self.assertEqual(src_shape, res_shape) self.assertEqual(core.VarDesc.VarType.SELECTED_ROWS, var.type()) def test_multiple_shape(self): program_desc = core.ProgramDesc() block = program_desc.block(0) var = block.var('my_reader') var.set_type(core.VarDesc.VarType.READER) src_shapes = [[2, 3, 3], [4, 5], [6, 7, 8, 9]] var.set_shapes(src_shapes) res_shapes = var.shapes() self.assertEqual(src_shapes, res_shapes) self.assertEqual(core.VarDesc.VarType.READER, var.type()) def test_dtype(self): program_desc = core.ProgramDesc() block = program_desc.block(0) var = block.var('my_var') var.set_type(core.VarDesc.VarType.LOD_TENSOR) var.set_dtype(core.VarDesc.VarType.INT32) self.assertEqual(core.VarDesc.VarType.INT32, var.dtype()) self.assertEqual(core.VarDesc.VarType.LOD_TENSOR, var.type()) def test_multiple_dtype(self): program_desc = core.ProgramDesc() block = program_desc.block(0) var = block.var('my_reader') var.set_type(core.VarDesc.VarType.READER) src_types = [ core.VarDesc.VarType.INT32, core.VarDesc.VarType.FP64, core.VarDesc.VarType.FP32 ] var.set_dtypes(src_types) self.assertEqual(src_types, var.dtypes()) self.assertEqual(core.VarDesc.VarType.READER, var.type()) def test_multiple_lod_level(self): program_desc = core.ProgramDesc() block = program_desc.block(0) var = block.var('my_reader') var.set_type(core.VarDesc.VarType.READER) src_types = [3, 1, 2] var.set_lod_levels(src_types) self.assertEqual(src_types, var.lod_levels()) self.assertEqual(core.VarDesc.VarType.READER, var.type()) class TestBlockDesc(unittest.TestCase): def test_add_var(self): prog = core.ProgramDesc() self.assertIsNotNone(prog) block = prog.block(0) self.assertIsNotNone(block) var1 = block.var("var1") var2 = block.var("var2") var3 = block.var("var3") all_vars = block.all_vars() self.assertEqual(set(all_vars), {var1, var2, var3}) var2_re = block.find_var("var2") self.assertEqual(var2_re, var2) def test_add_op(self): prog = core.ProgramDesc() self.assertIsNotNone(prog) block = prog.block(0) self.assertIsNotNone(block) op1 = block.append_op() op2 = block.append_op() op0 = block.prepend_op() all_ops = [] for idx in xrange(0, block.op_size()): all_ops.append(block.op(idx)) self.assertEqual(all_ops, [op0, op1, op2]) def test_remove_op(self): prog = core.ProgramDesc() self.assertIsNotNone(prog) block = prog.block(0) self.assertIsNotNone(block) op1 = block.append_op() op2 = block.append_op() var1 = block.var("var1") var2 = block.var("var2") var3 = block.var("var3") var4 = block.var("var4") var5 = block.var("var5") op1.set_input("X", ["var1", "var2"]) op1.set_output("Y", ["var3", "var4"]) op2.set_input("X", ["var1"]) op2.set_output("Y", ["var4", "var5"]) # remove op1, its input var2 and output var3 will be removed at the same time, # but its input var1 and output var4 will not be removed since they are used for op2. block.remove_op(0, 1) all_ops = [] for idx in xrange(0, block.op_size()): all_ops.append(block.op(idx)) self.assertEqual(all_ops, [op2]) all_vars = block.all_vars() self.assertEqual(set(all_vars), {var1, var4, var5}) if __name__ == '__main__': unittest.main()