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- # Copyright (c) 2019 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 paddle.base import core
-
- alignment = 256
- 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 XPUTestCoalesceTensorOp(XPUOpTestWrapper):
- def __init__(self):
- self.op_name = 'coalesce_tensor'
- self.use_dynamic_create_class = False
-
- class TestAllocContinuousSpace(XPUOpTest):
- def setUp(self):
- self.op_type = "coalesce_tensor"
- self.use_xpu = True
- self.dtype, self.base_dtype = self.init_dtype()
- attrs = self.init_attr()
- self.copy_data = attrs["copy_data"]
- self.constant = attrs["constant"]
- self.set_constant = attrs["set_constant"]
- self.Inputs = self.init_input()
- self.Outputs, self.FusedOutput = self.init_output(
- self.Inputs, self.set_constant, self.constant
- )
- self.inputs = {'Input': self.Inputs}
- self.attrs = attrs
- self.outputs = {
- 'Output': self.Outputs,
- 'FusedOutput': self.FusedOutput,
- }
-
- def init_dtype(self):
- return np.float32, int(core.VarDesc.VarType.FP32)
-
- def init_input(self):
- inputs = []
- inputs.append(("x1", np.random.random([20, 3]).astype(self.dtype)))
- inputs.append(("x2", np.random.random([20]).astype(self.dtype)))
- inputs.append(("x3", np.random.random([1]).astype(self.dtype)))
- inputs.append(
- ("x4", np.random.random([200, 30]).astype(self.dtype))
- )
- inputs.append(("x5", np.random.random([30]).astype(self.dtype)))
- inputs.append(("x6", np.random.random([1]).astype(self.dtype)))
- return inputs
-
- def init_attr(self):
- return {
- "copy_data": True,
- "set_constant": False,
- "constant": 0.0,
- "dtype": self.base_dtype,
- }
-
- def init_output(self, input_list, set_constant, constant):
- inputs = []
- outputs = input_list
-
- for input in input_list:
- length = len(input[1].flatten())
- aligned_len = (length + alignment) / alignment * alignment
- out = np.zeros(int(aligned_len))
- out[0:length] = input[1].flatten()
- inputs.append(out)
-
- coalesce_tensor_var = np.concatenate(list(inputs))
- if set_constant:
- coalesce_tensor_var = (
- np.ones(len(coalesce_tensor_var)) * constant
- )
- outputs = [
- (
- out[0],
- np.ones(out[1].shape).astype(self.dtype) * constant,
- )
- for out in outputs
- ]
- return outputs, coalesce_tensor_var
-
- def test_check_output(self):
- self.check_output_with_place(
- place=core.XPUPlace(0), no_check_set=["FusedOutput"], atol=1e-5
- )
-
- class TestAllocContinuousSpace2(TestAllocContinuousSpace):
- def init_attr(self):
- return {
- "copy_data": False,
- "set_constant": True,
- "constant": 0.5,
- "dtype": self.base_dtype,
- "user_defined_size_of_dtype": 2,
- }
-
- def test_check_output(self):
- self.check_output_with_place(
- place=core.XPUPlace(0), no_check_set=["FusedOutput"], atol=1e-5
- )
-
-
- support_types = get_xpu_op_support_types('coalesce_tensor')
- for stype in support_types:
- create_test_class(globals(), XPUTestCoalesceTensorOp, stype)
-
- if __name__ == '__main__':
- unittest.main()
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