# Copyright (c) 2023 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
from paddle.base import core
from paddle.jit.dy2static import (
    pir_partial_program,
    program_translator,
)
from paddle.jit.dy2static.utils import Backend


class TestPartiaProgramLayerHook(unittest.TestCase):
    def setUp(self):
        self._hook = pir_partial_program.PartialProgramLayerHook()

    def test_before_append_backward(self):
        self.assertEqual(
            self._hook.before_append_backward(None, None), (None, None)
        )

    def test_after_append_backward(self):
        self.assertEqual(
            self._hook.after_append_backward(None, None, None, None, 0, 0),
            (None, 0, None),
        )

    def test_after_infer(self):
        self.assertIsNone(self._hook.after_infer(None))


class TestPrimHook(unittest.TestCase):
    def setUp(self):
        core._set_prim_all_enabled(True)

        def f():
            return paddle.nn.functional.dropout(paddle.rand((1,)))

        concrete_program, partial_program_layer = paddle.jit.to_static(
            f, full_graph=True
        ).get_concrete_program()
        self._hook = program_translator.PirPrimHooker(
            concrete_program.main_program, Backend.PHI
        )
        self.partial_program_layer = partial_program_layer

    def tearDown(self):
        core._set_prim_all_enabled(False)

    def test_before_append_backward(self):
        program = self.partial_program_layer.program

        self._hook.before_append_backward(
            program.forward_program,
            program.out_values,
        )
        self.assertNotIn(
            'pd_op.dropout',
            tuple(
                op.name() for op in program.forward_program.global_block().ops
            ),
        )

    def test_after_append_backward(self):
        program_ = self.partial_program_layer.train_program
        train_program = program_.program

        (
            program,
            forward_end_idx,
            targets,
        ) = self._hook.after_append_backward(
            train_program, None, program_.out_values, None, 0, 0
        )
        self.assertNotIn(
            'pd_op.dropout_grad',
            tuple(op.name() for op in train_program.global_block().ops),
        )


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