forked from PaddlePaddle/Paddle
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtest_force_dynamic.py
More file actions
77 lines (58 loc) · 2.38 KB
/
Copy pathtest_force_dynamic.py
File metadata and controls
77 lines (58 loc) · 2.38 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
# Copyright (c) 2025 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
from test_case_base import (
TestCaseBase,
test_instruction_translator_cache_context,
)
import paddle
from paddle.jit import sot
class EmbeddingLayer(paddle.nn.Layer):
def __init__(self):
super().__init__()
self.embedding = paddle.nn.Embedding(10, 10)
def forward(self, x):
x = x + 1 - 1
x = self.embedding(x)
return x + 1
def call_embedding_layer(x: paddle.Tensor, layer: paddle.nn.Layer):
return layer(x)
def call_functional_embedding(x: paddle.Tensor, weight: paddle.Tensor):
x = x + 1 - 1
x = paddle.nn.functional.embedding(x, weight)
return x + 1
class TestForceDynamic(TestCaseBase):
def test_embedding_layer(self):
paddle.jit.marker.force_dynamic(paddle.nn.Embedding)
layer = EmbeddingLayer()
with test_instruction_translator_cache_context() as ctx:
self.assertEqual(ctx.translate_count, 0)
self.assert_results(
call_embedding_layer,
paddle.randint(0, 10, [1, 3, 224, 224], dtype='int64'),
layer,
)
self.assertGreater(ctx.translate_count, 1)
sot.utils.paddle_api_config.break_graph_layer_classes.clear()
def test_functional_embedding(self):
paddle.jit.marker.force_dynamic(paddle.nn.functional.embedding)
weight = paddle.randn([10, 10])
x = paddle.randint(0, 10, [1, 3, 224, 224], dtype='int64')
with test_instruction_translator_cache_context() as ctx:
self.assertEqual(ctx.translate_count, 0)
self.assert_results(call_functional_embedding, x, weight)
self.assertGreater(ctx.translate_count, 1)
sot.utils.paddle_api_config.break_graph_functions.clear()
if __name__ == "__main__":
unittest.main()