wehub-resource-sync
112 lines
3.6 KiB
Python
112 lines
3.6 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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import unittest
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import numpy as np
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from get_test_cover_info import (
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XPUOpTestWrapper,
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create_test_class,
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get_xpu_op_support_types,
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)
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from op_test import convert_float_to_uint16
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from op_test_xpu import XPUOpTest
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import paddle
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paddle.enable_static()
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class XPUTestLinspaceOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'linspace'
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self.use_dynamic_create_class = False
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class TestXPULinespaceOp(XPUOpTest):
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def setUp(self):
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self.op_type = "linspace"
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self.dtype = self.in_type
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self.atol = 1e-4
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np.random.seed(10)
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self.inputs = {
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'Start': np.array([0]).astype(self.dtype),
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'Stop': np.array([10]).astype(self.dtype),
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'Num': np.array([11]).astype('int32'),
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}
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self.outputs = {'Out': np.arange(0, 11).astype(self.dtype)}
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self.attrs = {
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'dtype': int(
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paddle.base.framework.convert_nptype_to_vartype(self.dtype)
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)
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}
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self.set_attrs()
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self._maybe_convert_bf16_io()
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def set_attrs(self):
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pass
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def _maybe_convert_bf16_io(self):
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if self.dtype != np.uint16:
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return
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def to_bf16_bits(x):
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x = np.asarray(x)
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if x.size == 0:
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return x.astype(np.uint16)
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return convert_float_to_uint16(x.astype("float32"))
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self.inputs["Start"] = to_bf16_bits(self.inputs["Start"])
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self.inputs["Stop"] = to_bf16_bits(self.inputs["Stop"])
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self.outputs["Out"] = to_bf16_bits(self.outputs["Out"])
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def test_check_output(self):
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self.check_output_with_place(paddle.XPUPlace(0), atol=self.atol)
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class TestXPULinespace2(TestXPULinespaceOp):
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def set_attrs(self):
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self.inputs = {
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'Start': np.array([10]).astype(self.dtype),
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'Stop': np.array([0]).astype(self.dtype),
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'Num': np.array([11]).astype('int32'),
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}
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self.outputs = {'Out': np.arange(10, -1, -1).astype(self.dtype)}
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class TestXPULinespace3(TestXPULinespaceOp):
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def set_attrs(self):
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self.inputs = {
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'Start': np.array([10]).astype(self.dtype),
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'Stop': np.array([0]).astype(self.dtype),
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'Num': np.array([1]).astype('int32'),
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}
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self.outputs = {'Out': np.array([10], dtype=self.dtype)}
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class TestXPULinespace4(TestXPULinespaceOp):
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def set_attrs(self):
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self.inputs = {
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'Start': np.array([0]).astype(self.dtype),
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'Stop': np.array([10]).astype(self.dtype),
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'Num': np.array([0]).astype('int32'),
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}
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self.outputs = {'Out': np.array([], dtype=self.dtype)}
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support_types = get_xpu_op_support_types('linspace')
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for stype in support_types:
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create_test_class(globals(), XPUTestLinspaceOp, stype)
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if __name__ == "__main__":
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unittest.main()
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