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- # Copyright (c) 2018 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
- from paddle import base
- from paddle.base import framework
-
- paddle.enable_static()
-
-
- class XPUTestAssignValueOp(XPUOpTestWrapper):
- def __init__(self):
- self.op_name = 'assign_value'
- self.use_dynamic_create_class = False
-
- class TestAssignValueOp(XPUOpTest):
- def init(self):
- self.dtype = self.in_type
- self.place = paddle.XPUPlace(0)
- self.op_type = 'assign_value'
-
- def setUp(self):
- self.init()
- self.inputs = {}
- self.attrs = {}
- self.init_data()
- self.attrs["shape"] = self.value.shape
- self.attrs["dtype"] = framework.convert_np_dtype_to_dtype_(
- self.value.dtype
- )
- self.outputs = {"Out": self.value}
-
- def init_data(self):
- self.value = np.random.random(size=(2, 5)).astype(np.float32)
- self.attrs["values"] = [float(v) for v in self.value.flat]
-
- def test_forward(self):
- self.check_output_with_place(self.place)
-
- class TestAssignValueOp2(TestAssignValueOp):
- def init_data(self):
- self.value = np.random.random(size=(2, 5)).astype(np.int32)
- self.attrs["values"] = [int(v) for v in self.value.flat]
-
- class TestAssignValueOp3(TestAssignValueOp):
- def init_data(self):
- self.value = np.random.random(size=(2, 5)).astype(np.int64)
- self.attrs["values"] = [int(v) for v in self.value.flat]
-
- class TestAssignValueOp4(TestAssignValueOp):
- def init_data(self):
- self.value = np.random.choice(a=[False, True], size=(2, 5)).astype(
- np.bool_
- )
- self.attrs["values"] = [int(v) for v in self.value.flat]
-
- class TestAssignValueOp5(TestAssignValueOp):
- def init_data(self):
- self.value = np.random.random(size=(2, 5)).astype(np.float64)
- self.attrs["values"] = [float(v) for v in self.value.flat]
-
- class TestAssignValueOp6(TestAssignValueOp):
- def init_data(self):
- self.value = (
- np.random.random(size=(2, 5))
- + 1j * np.random.random(size=(2, 5))
- ).astype(np.complex64)
- self.attrs["values"] = list(self.value.flat)
-
- class TestAssignValueOp7(TestAssignValueOp):
- def init_data(self):
- self.value = (
- np.random.random(size=(2, 5))
- + 1j * np.random.random(size=(2, 5))
- ).astype(np.complex128)
- self.attrs["values"] = list(self.value.flat)
-
-
- class TestAssignApi(unittest.TestCase):
- def setUp(self):
- self.init_dtype()
- self.value = (-100 + 200 * np.random.random(size=(2, 5))).astype(
- self.dtype
- )
- self.place = base.XPUPlace(0)
-
- def init_dtype(self):
- self.dtype = "float32"
-
- def test_assign(self):
- main_program = base.Program()
- with base.program_guard(main_program):
- x = paddle.assign(self.value)
-
- exe = base.Executor(self.place)
- [fetched_x] = exe.run(main_program, feed={}, fetch_list=[x])
- np.testing.assert_allclose(fetched_x, self.value)
- self.assertEqual(fetched_x.dtype, self.value.dtype)
-
-
- class TestAssignApi2(TestAssignApi):
- def init_dtype(self):
- self.dtype = "int32"
-
-
- class TestAssignApi3(TestAssignApi):
- def init_dtype(self):
- self.dtype = "int64"
-
-
- class TestAssignApi4(TestAssignApi):
- def setUp(self):
- self.init_dtype()
- self.value = np.random.choice(a=[False, True], size=(2, 5)).astype(
- np.bool_
- )
- self.place = base.XPUPlace(0)
-
- def init_dtype(self):
- self.dtype = "bool"
-
-
- class TestAssignApi5(TestAssignApi):
- def init_dtype(self):
- self.dtype = "float64"
-
-
- class TestAssignApi6(TestAssignApi):
- def setUp(self):
- self.init_dtype()
- self.value = (
- np.random.random(size=(2, 5)) + 1j * (np.random.random(size=(2, 5)))
- ).astype(np.complex64)
- self.place = base.XPUPlace(0)
-
- def init_dtype(self):
- self.dtype = "complex64"
-
-
- class TestAssignApi7(TestAssignApi):
- def setUp(self):
- self.init_dtype()
- self.value = (
- np.random.random(size=(2, 5)) + 1j * (np.random.random(size=(2, 5)))
- ).astype(np.complex128)
- self.place = base.XPUPlace(0)
-
- def init_dtype(self):
- self.dtype = "complex128"
-
-
- support_types = get_xpu_op_support_types('assign_value')
- for stype in support_types:
- create_test_class(globals(), XPUTestAssignValueOp, stype)
-
- if __name__ == '__main__':
- unittest.main()
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