wehub-resource-sync
161 lines
4.1 KiB
Python
161 lines
4.1 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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# BUILD_SLICE (new)
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from __future__ import annotations
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import unittest
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from test_case_base import TestCaseBase
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import paddle
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from paddle.jit.sot.psdb import check_no_breakgraph
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def build_list_slice(x: list, y: paddle.Tensor):
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x[2:4] = [0, 1]
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return x[0] + y
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def build_list_slice_with_step(x: list, y: paddle.Tensor):
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x[1:5:2] = [0, 1]
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return x[0] + y
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def build_tuple_slice(x: list, y: paddle.Tensor):
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x[2:4] = (0, 1)
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return x[0] + y
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def build_tuple_slice_with_step(x: list, y: paddle.Tensor):
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x[1:5:2] = (0, 1)
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return x[0] + y
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def tensor_subscript_ellipsis(x: paddle.Tensor, y: paddle.Tensor):
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return x[...] + y[...]
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@check_no_breakgraph
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def tensor_subscript_tensor(x: paddle.Tensor):
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d0, d1 = paddle.shape(x)
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return x[: d0 // 2, d1 // 2 : d1]
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class TestSlice(TestCaseBase):
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def test_simple(self):
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x = list(range(10))
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y = paddle.arange(10)
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self.assert_results_with_side_effects(build_list_slice, x, y)
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self.assert_results_with_side_effects(build_list_slice_with_step, x, y)
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self.assert_results_with_side_effects(build_tuple_slice, x, y)
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self.assert_results_with_side_effects(build_tuple_slice_with_step, x, y)
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class MyLayer(paddle.nn.Layer):
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def __init__(self):
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super().__init__()
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self.linears = paddle.nn.LayerList(
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[paddle.nn.Linear(10, 10) for i in range(10)]
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)
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def forward(self, x):
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for i, l in enumerate(self.linears):
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x = self.linears[i // 2](x) + l(x)
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return x
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def layer_list_slice(layer, x):
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out = layer(x)
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return out
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class TestLayerList(TestCaseBase):
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def test_layer_list_slice(self):
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layer = MyLayer()
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x = paddle.randn([5, 10])
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self.assert_results(layer_list_slice, layer, x)
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def tensor_slice(x: paddle.Tensor):
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return x[1, 1, 1] + 1
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class TestTensorSlice(TestCaseBase):
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def test_tensor_slice(self):
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x = paddle.randn([4, 3, 10])
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self.assert_results(tensor_slice, x)
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class TestTensorEllipsis(TestCaseBase):
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def test_tensor_subscript_ellipsis(self):
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x = paddle.rand((10,))
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y = paddle.rand((10, 10))
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self.assert_results(tensor_subscript_ellipsis, x, y)
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class TestTensorSubscriptTensor(TestCaseBase):
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def test_tensor_subscript_tensor(self):
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x = paddle.rand((10, 10))
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self.assert_results(tensor_subscript_tensor, x)
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class LayerListNet(paddle.nn.Layer):
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def __init__(self) -> None:
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super().__init__()
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self.layer_list = paddle.nn.LayerList(
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[paddle.nn.Linear(5, 5), paddle.nn.Linear(5, 5)]
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)
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def forward(self, x):
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out = self.layer_list[0](x)
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for layer in self.layer_list[1:]:
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out = layer(out)
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return out
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class TestLayerListSlice(TestCaseBase):
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def test_layer_list_slice(self):
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x = paddle.randn([2, 5])
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net = LayerListNet()
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self.assert_results(layer_list_slice, net, x)
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@check_no_breakgraph
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def string_slice(x: str):
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return x[2:7:2] + x[1:5] + x[4]
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class TestStringSlice(TestCaseBase):
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def test_string_slice(self):
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x = "1234567"
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self.assert_results(string_slice, x)
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@check_no_breakgraph
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def tensor_slice_as_input(x: slice):
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tensor = paddle.to_tensor([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
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return tensor[x]
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class TestSliceAsInput(TestCaseBase):
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def test_slice_as_input(self):
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x = slice(2, 7, 2)
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self.assert_results(tensor_slice_as_input, x)
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if __name__ == "__main__":
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unittest.main()
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