#  Copyright (c) 2021 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.

from __future__ import print_function

import numpy as np
import unittest
import sys
sys.path.append("..")
from op_test import OpTest
import paddle
import paddle.fluid as fluid

paddle.enable_static()
SEED = 2021


@unittest.skipIf(not paddle.is_compiled_with_npu(),
                 "core is not compiled with NPU")
class TestLookupTableV2(OpTest):
    def setUp(self):
        self.set_npu()
        self.op_type = "lookup_table_v2"
        self.place = paddle.NPUPlace(0)

        self.init_dtype()
        np.random.seed(SEED)
        bsz = 6
        seqlen = 8
        vocab = 10
        dim = 20
        w = np.ones([vocab, dim]).astype(self.dtype)
        x = np.random.randint(0, vocab, size=(bsz, seqlen)).astype(np.int32)
        out = np.ones([bsz, seqlen, dim]).astype(self.dtype)

        self.inputs = {
            'W': OpTest.np_dtype_to_fluid_dtype(w),
            'Ids': OpTest.np_dtype_to_fluid_dtype(x)
        }
        self.attrs = {
            'is_sparse': False,
            'is_distributed': False,
            'remote_prefetch': False,
            'padding_idx': -1
        }
        self.outputs = {'Out': out}

    def set_npu(self):
        self.__class__.use_npu = True

    def init_dtype(self):
        self.dtype = np.float32

    def test_check_output(self):
        self.check_output_with_place(self.place, check_dygraph=False)

    def test_check_grad(self):
        if self.dtype == np.float16:
            return
        self.check_grad_with_place(
            self.place, ['W'], 'Out', check_dygraph=False)


@unittest.skipIf(not paddle.is_compiled_with_npu(),
                 "core is not compiled with NPU")
class TestLookupTableV2FP16(TestLookupTableV2):
    no_need_check_grad = True

    def init_dtype(self):
        self.dtype = np.float16

    def set_npu(self):
        self.__class__.use_npu = True
        self.__class__.no_need_check_grad = True


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