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- # 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 numpy as np
- from get_test_cover_info import (
- XPUOpTestWrapper,
- create_test_class,
- get_xpu_op_support_types,
- )
- from op_test_xpu import XPUOpTest
-
- import paddle
-
- paddle.enable_static()
-
-
- class XPUTestLookupTableOP(XPUOpTestWrapper):
- def __init__(self):
- self.op_name = 'lookup_table_v2'
- self.use_dynamic_create_class = False
-
- class TestLookupTableOPBase(XPUOpTest):
- def setUp(self):
- self.place = paddle.XPUPlace(0)
- self.init_dtype()
- self.op_type = 'lookup_table_v2'
- self.init_config()
- self.set_case()
-
- def set_case(self):
- table = np.random.random(self.input_shape).astype(self.dtype)
- ids = np.random.randint(0, self.id_range, self.id_count).astype(
- self.id_dtype
- )
- self.inputs = {'W': table, 'Ids': ids}
- self.outputs = {'Out': table[ids]}
-
- def init_dtype(self):
- self.dtype = self.in_type
-
- def test_check_output(self):
- self.check_output_with_place(self.place)
-
- def test_check_grad(self):
- self.check_grad_with_place(
- self.place, ['W'], 'Out', no_grad_set=set('Ids')
- )
-
- def init_config(self):
- self.input_shape = (17, 31)
- self.id_range = 17
- self.id_count = 4
- self.id_dtype = "int32"
-
- class XPUTestLookupTable1(TestLookupTableOPBase):
- def init_config(self):
- self.input_shape = (25, 52)
- self.id_range = 25
- self.id_count = 14
- self.id_dtype = "int64"
-
- class TestLookupTableOpWithTensorIds(TestLookupTableOPBase):
- def set_case(self):
- table = np.random.random((17, 31)).astype(self.dtype)
- ids = np.random.randint(low=0, high=17, size=(2, 4, 5)).astype(
- self.id_dtype
- )
- self.inputs = {'W': table, 'Ids': ids}
- self.outputs = {'Out': table[ids.flatten()].reshape((2, 4, 5, 31))}
-
- class TestLookupTableOpWithPadding(TestLookupTableOPBase):
- def test_check_output(self):
- ids = np.squeeze(self.inputs['Ids'])
- padding_idx = np.random.choice(ids, 1)[0]
- self.outputs['Out'][ids == padding_idx] = np.zeros(31)
- self.attrs = {'padding_idx': int(padding_idx)}
- self.check_output_with_place(self.place)
-
- class TestLookupTableOpWithTensorIdsAndPadding(
- TestLookupTableOpWithTensorIds
- ):
- def test_check_output(self):
- ids = self.inputs['Ids']
- flatten_idx = ids.flatten()
- padding_idx = np.random.choice(flatten_idx, 1)[0]
- self.outputs['Out'][np.squeeze(ids == padding_idx)] = np.zeros(31)
- self.attrs = {'padding_idx': padding_idx}
- self.check_output_with_place(self.place)
-
-
- support_types = get_xpu_op_support_types('lookup_table_v2')
- for stype in support_types:
- create_test_class(globals(), XPUTestLookupTableOP, stype)
-
- if __name__ == "__main__":
- unittest.main()
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