forked from mindspore-Ecosystem/mindspore
!45702 [assistant][ops] Add BesselI0
Merge pull request !45702 from 王翊嘉/BesselI0
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# Copyright 2022 Huawei Technologies Co., Ltd
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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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# ============================================================================
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"""BesselI0 op"""
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from mindspore.ops.op_info_register import op_info_register, AiCPURegOp, DataType
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bessel_i0_op_info = AiCPURegOp("BesselI0") \
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.fusion_type("OPAQUE") \
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.input(0, "x", "required") \
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.output(0, "y", "required") \
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.dtype_format(DataType.F16_Default, DataType.F16_Default) \
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.dtype_format(DataType.F32_Default, DataType.F32_Default) \
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.dtype_format(DataType.F64_Default, DataType.F64_Default) \
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.get_op_info()
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@op_info_register(bessel_i0_op_info)
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def _bessel_i0_aicpu():
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"""BesselI0 aicpu register"""
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return
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@ -2852,7 +2852,7 @@ def bessel_i0(x):
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>>> x = Tensor(np.array([-1, -0.5, 0.5, 1]), mindspore.float32)
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>>> output = ops.bessel_i0(x)
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>>> print(output)
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[1.26606588 1.06348337 1.06348337 1.26606588]
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[1.266066 1.0634835 1.0634835 1.266066]
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"""
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return bessel_i0_(x)
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@ -4961,12 +4961,12 @@ class BesselI0(Primitive):
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>>> x = Tensor(np.array([0.24, 0.83, 0.31, 0.09]), mindspore.float32)
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>>> output = bessel_i0(x)
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>>> print(output)
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[1.014452 1.179784 1.0241697 1.0020261]
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[1.0144521 1.1797839 1.0241698 1.0020262]
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"""
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@prim_attr_register
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def __init__(self):
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"""Initialize BesselI0"""
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self.init_prim_io_names(inputs=['x'], outputs='y')
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class BesselI1(Primitive):
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