|
- # Copyright (c) 2022 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, tensor
- from paddle.base import Program, program_guard
-
- paddle.enable_static()
-
-
- class XPUTestUnbindOP(XPUOpTestWrapper):
- def __init__(self):
- self.op_name = 'unbind'
- self.use_dynamic_create_class = False
-
- class TestUnbind(unittest.TestCase):
- def test_unbind(self):
- self.dtype = self.in_type
- self.place = paddle.XPUPlace(0)
- x_1 = paddle.static.data(shape=[2, 3], dtype=self.dtype, name='x_1')
- [out_0, out_1] = tensor.unbind(input=x_1, axis=0)
- input_1 = np.random.random([2, 3]).astype(self.dtype)
- axis = paddle.static.data(shape=[], dtype='int32', name='axis')
- exe = base.Executor(place=self.place)
-
- [res_1, res_2] = exe.run(
- base.default_main_program(),
- feed={"x_1": input_1, "axis": 0},
- fetch_list=[out_0, out_1],
- )
-
- np.testing.assert_array_equal(res_1, input_1[0, 0:100])
- np.testing.assert_array_equal(res_2, input_1[1, 0:100])
-
- def test_unbind_dygraph(self):
- with base.dygraph.guard():
- self.dtype = self.in_type
- self.place = paddle.XPUPlace(0)
- np_x = np.random.random([2, 3]).astype(self.dtype)
- x = paddle.to_tensor(np_x)
- x.stop_gradient = False
- [res_1, res_2] = paddle.unbind(x, 0)
- np.testing.assert_array_equal(res_1, np_x[0, 0:100])
- np.testing.assert_array_equal(res_2, np_x[1, 0:100])
-
- out = paddle.add_n([res_1, res_2])
-
- np_grad = np.ones(x.shape, np.float32)
- out.backward()
- np.testing.assert_array_equal(x.grad.numpy(), np_grad)
-
- def test_unbind_dygraph_final_state(self):
- self.test_unbind_dygraph()
-
- class TestLayersUnbind(unittest.TestCase):
- def test_layers_unbind(self):
- self.dtype = self.in_type
- self.place = paddle.XPUPlace(0)
- x_1 = paddle.static.data(shape=[2, 3], dtype=self.dtype, name='x_1')
- [out_0, out_1] = paddle.unbind(input=x_1, axis=0)
- input_1 = np.random.random([2, 3]).astype(self.dtype)
- axis = paddle.static.data(shape=[], dtype='int32', name='axis')
- exe = base.Executor(place=self.place)
-
- [res_1, res_2] = exe.run(
- base.default_main_program(),
- feed={"x_1": input_1, "axis": 0},
- fetch_list=[out_0, out_1],
- )
-
- np.testing.assert_array_equal(res_1, input_1[0, 0:100])
- np.testing.assert_array_equal(res_2, input_1[1, 0:100])
-
- class TestUnbindOp(XPUOpTest):
- def initParameters(self):
- pass
-
- def outReshape(self):
- self.out[0] = self.out[0].reshape((2, 2))
- self.out[1] = self.out[1].reshape((2, 2))
- self.out[2] = self.out[2].reshape((2, 2))
-
- def setAxis(self):
- pass
-
- def setUp(self):
- self._set_op_type()
- self.dtype = self.in_type
- self.place = paddle.XPUPlace(0)
- self.axis = 0
- self.num = 3
- self.initParameters()
- x = np.arange(12).reshape(3, 2, 2).astype(self.dtype)
- self.out = np.split(x, self.num, self.axis)
- self.outReshape()
- self.inputs = {'X': x}
- self.attrs = {'axis': self.axis}
- self.setAxis()
- self.outputs = {
- 'Out': [
- ('out%d' % i, self.out[i]) for i in range(len(self.out))
- ]
- }
-
- def _set_op_type(self):
- self.op_type = "unbind"
-
- def test_check_output(self):
- self.check_output()
-
- def test_check_grad(self):
- self.check_grad(['X'], ['out0', 'out1', 'out2'])
-
- class TestUnbindOp1(TestUnbindOp):
- def initParameters(self):
- self.axis = 1
- self.num = 2
-
- def test_check_grad(self):
- self.check_grad(['X'], ['out0', 'out1'])
-
- def outReshape(self):
- self.out[0] = self.out[0].reshape((3, 2))
- self.out[1] = self.out[1].reshape((3, 2))
-
- class TestUnbindOp2(TestUnbindOp):
- def initParameters(self):
- self.axis = 2
- self.num = 2
-
- def test_check_grad(self):
- self.check_grad(['X'], ['out0', 'out1'])
-
- def outReshape(self):
- self.out[0] = self.out[0].reshape((3, 2))
- self.out[1] = self.out[1].reshape((3, 2))
-
- class TestUnbindOp3(TestUnbindOp):
- def initParameters(self):
- self.axis = 2
- self.num = 2
-
- def setAxis(self):
- self.attrs = {'axis': -1}
-
- def test_check_grad(self):
- self.check_grad(['X'], ['out0', 'out1'])
-
- def outReshape(self):
- self.out[0] = self.out[0].reshape((3, 2))
- self.out[1] = self.out[1].reshape((3, 2))
-
- class TestUnbindOp4(TestUnbindOp):
- def initParameters(self):
- self.axis = 1
- self.num = 2
-
- def setAxis(self):
- self.attrs = {'axis': -2}
-
- def test_check_grad(self):
- self.check_grad(['X'], ['out0', 'out1'])
-
- def outReshape(self):
- self.out[0] = self.out[0].reshape((3, 2))
- self.out[1] = self.out[1].reshape((3, 2))
-
- class TestUnbindAxisError(unittest.TestCase):
- def test_errors(self):
- with program_guard(Program(), Program()):
- self.dtype = self.in_type
- self.place = paddle.XPUPlace(0)
- x = paddle.static.data(shape=[2, 3], dtype=self.dtype, name='x')
-
- def test_table_Variable():
- tensor.unbind(input=x, axis=2.0)
-
- self.assertRaises(TypeError, test_table_Variable)
-
- def test_invalid_axis():
- tensor.unbind(input=x, axis=2)
-
- self.assertRaises(ValueError, test_invalid_axis)
-
-
- support_types = get_xpu_op_support_types('unbind')
- for stype in support_types:
- create_test_class(globals(), XPUTestUnbindOP, stype)
-
-
- if __name__ == '__main__':
- unittest.main()
|