wehub-resource-sync
155 lines
6.0 KiB
Python
155 lines
6.0 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import paddle
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from paddle.autograd.ir_backward import grad
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from paddle.base.core import call_vjp, has_vjp
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from paddle.base.libpaddle.pir import (
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build_pipe_for_block,
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get_used_external_value,
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)
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paddle.enable_static()
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def true_func():
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a = paddle.full(shape=[1, 2], dtype='float32', fill_value=1)
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b = paddle.full(shape=[2, 3], dtype='int64', fill_value=1)
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return a, b
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def false_func():
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a = paddle.full(shape=[1, 2], dtype='float32', fill_value=3)
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b = paddle.full(shape=[2, 3], dtype='int64', fill_value=2)
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return a, b
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class TestBuildModuleWithIfOp(unittest.TestCase):
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def construct_program_with_if(self):
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main_program = paddle.static.Program()
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startup_program = paddle.static.Program()
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with paddle.static.program_guard(main_program, startup_program):
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x = paddle.static.data(name="x", shape=[6, 1], dtype="float32")
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y = paddle.static.data(name="y", shape=[6, 1], dtype="float32")
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x.stop_gradient = False
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y.stop_gradient = False
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paddle.static.nn.cond(x < y, lambda: x + y, lambda: x - y)
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return main_program
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def test_if_with_single_output(self):
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main_program = self.construct_program_with_if()
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if_op = main_program.global_block().ops[-1]
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self.assertEqual(if_op.name(), "pd_op.if")
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self.assertEqual(len(if_op.results()), 1)
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value_list = get_used_external_value(if_op)
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self.assertEqual(len(value_list), 3)
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self.assertTrue(value_list[0].is_same(if_op.operand_source(0)))
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def test_if_with_multiple_output(self):
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main_program = self.construct_program_with_if()
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cond_value = main_program.global_block().ops[-1].operand_source(0)
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with paddle.pir.core.program_guard(main_program):
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paddle.static.nn.cond(cond_value, true_func, false_func)
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last_op = main_program.global_block().ops[-1]
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out = last_op.results()
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self.assertEqual(last_op.name(), "pd_op.if")
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self.assertEqual(len(out), 2)
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# check Operation::as_if_op interface
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if_op = last_op.as_if_op()
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true_block = if_op.true_block()
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self.assertEqual(len(true_block), 3)
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# check build_pipe_for_block interface
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build_pipe_for_block(true_block)
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self.assertEqual(len(true_block), 4)
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# check Operation::blocks interface
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block_list = []
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for block in out[0].get_defining_op().blocks():
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block_list.append(block)
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self.assertEqual(len(block_list), 2)
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self.assertEqual(block_list[0], true_block)
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self.assertEqual(block_list[1], if_op.false_block())
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def test_if_op_vjp_interface(self):
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main_program = self.construct_program_with_if()
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if_op = main_program.global_block().ops[-1]
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self.assertEqual(if_op.name(), "pd_op.if")
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build_pipe_for_block(if_op.as_if_op().true_block())
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with paddle.pir.core.program_guard(main_program):
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out_grad = paddle.full(shape=[6, 1], dtype='float32', fill_value=3)
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# check vjp interface for if_op
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if_input = [[input] for input in get_used_external_value(if_op)]
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if_input_stop_gradients = [[False], [False], [True]]
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if_output = [if_op.results()]
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if_output_grad = [[out_grad]]
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self.assertEqual(has_vjp(if_op), True)
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grad_outs = call_vjp(
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if_op,
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if_input,
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if_output,
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if_output_grad,
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if_input_stop_gradients,
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)
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self.assertEqual(len(grad_outs), len(if_input) - 1)
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if_grad_op = grad_outs[1][0].get_defining_op()
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self.assertEqual(if_grad_op.name(), "pd_op.if")
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with if_grad_op.as_if_op().true_block():
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# check vjp interface for tuple_push_op
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push_op = if_op.as_if_op().true_block().ops[-2]
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self.assertEqual(push_op.name(), "cf.tuple_push")
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self.assertEqual(has_vjp(push_op), True)
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print([[value] for value in push_op.operands_source()])
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pop_outs = call_vjp(
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push_op,
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[[value] for value in push_op.operands_source()],
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[[]],
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[[]],
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[[True], [False]],
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)
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self.assertEqual(len(pop_outs), 2)
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self.assertEqual(
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pop_outs[1][0].get_defining_op().name(), "cf.tuple_pop"
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)
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def test_if_op_backward(self):
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main_program = self.construct_program_with_if()
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dataop0 = main_program.global_block().ops[0]
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dataop1 = main_program.global_block().ops[1]
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if_op = main_program.global_block().ops[-1]
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self.assertEqual(if_op.name(), "pd_op.if")
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with paddle.pir.core.program_guard(main_program):
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self.assertEqual(
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main_program.global_block().ops[-2].result(0).stop_gradient,
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True,
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)
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self.assertEqual(if_op.result(0).stop_gradient, False)
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# check vjp interface for if_op
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grad_outs = grad(
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if_op.results(),
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[dataop0.result(0), dataop1.result(0)],
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)
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self.assertEqual(grad_outs[0].get_defining_op().name(), "pd_op.if")
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self.assertEqual(grad_outs[1].get_defining_op().name(), "pd_op.if")
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if __name__ == "__main__":
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unittest.main()
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