#
# 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.
"""SqueezeGrad op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
squeeze_grad_op_info = AkgRegOp("SqueezeGrad") \
.fusion_type("OPAQUE") \
.input(0, "y_grad") \
.output(0, "output") \
.attr("x_shape", "required", "listInt") \
.attr("axis", "optional", "listInt") \
.dtype_format(DataType.F16_Default, DataType.F16_Default) \
.dtype_format(DataType.F32_Default, DataType.F32_Default) \
.get_op_info()
@op_info_register(squeeze_grad_op_info)
def _squeeze_grad_akg():
"""SqueezeGrad AutoDiff register"""
return
# 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.
"""LessEqual op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
lessequal_op_info = AkgRegOp("LessEqual") \
.fusion_type("OPAQUE") \
.input(0, "x") \
.input(1, "y") \
.output(0, "output") \
.dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.BOOL_Default) \
.dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.BOOL_Default) \
.dtype_format(DataType.I32_Default, DataType.I32_Default, DataType.BOOL_Default) \
.get_op_info()
@op_info_register(lessequal_op_info)
def _lessequal_akg():
"""LessEqual register"""
return
# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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.
"""SimpleMean op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
mean_op_info = AkgRegOp("SimpleMean") \
.fusion_type("OPAQUE") \
.input(0, "x") \
.output(0, "output") \
.dtype_format(DataType.F16_Default, DataType.F16_Default) \
.dtype_format(DataType.F32_Default, DataType.F32_Default) \
.get_op_info()
@op_info_register(mean_op_info)
def _simple_mean_akg():
"""SimpleMean AutoDiff register"""
return
# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
"""HSigmoid op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
hsigmoid_op_info = AkgRegOp("HSigmoid") \
.fusion_type("OPAQUE") \
.input(0, "x") \
.output(0, "output") \
.dtype_format(DataType.F32_Default, DataType.F32_Default) \
.dtype_format(DataType.F16_Default, DataType.F16_Default) \
.get_op_info()
@op_info_register(hsigmoid_op_info)
def _hsigmoid_akg():
"""HSigmoid AutoDiff register"""
return
# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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.
"""Cast op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
cast_op_info = AkgRegOp("Cast") \
.fusion_type("OPAQUE") \
.input(0, "x") \
.output(0, "output") \
.attr("dst_type", "required", "str") \
.dtype_format(DataType.F16_Default, DataType.F32_Default) \
.dtype_format(DataType.F32_Default, DataType.F16_Default) \
.get_op_info()
@op_info_register(cast_op_info)
def _cast_akg():
"""Cast AutoDiff register"""
return
# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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.
"""ReLU6Grad op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
relu_grad_op_info = AkgRegOp("ReLU6Grad") \
.fusion_type("OPAQUE") \
.input(0, "y_grad") \
.input(1, "x") \
.output(0, "output") \
.dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.F16_Default) \
.dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.F32_Default) \
.get_op_info()
@op_info_register(relu_grad_op_info)
def _relu6_grad_akg():
"""ReLU6Grad AutoDiff register"""
return
# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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.
"""Squeeze op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
squeeze_op_info = AkgRegOp("Squeeze") \
.fusion_type("OPAQUE") \
.input(0, "x") \
.output(0, "output") \
.attr("axis", "optional", "listInt") \
.dtype_format(DataType.F16_Default, DataType.F16_Default) \
.dtype_format(DataType.F32_Default, DataType.F32_Default) \
.get_op_info()
@op_info_register(squeeze_op_info)
def _squeeze_akg():
"""Squeeze AutoDiff register"""
return
# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
"""LogicalAnd op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
logicaland_op_info = AkgRegOp("LogicalAnd") \
.fusion_type("OPAQUE") \
.input(0, "x") \
.input(1, "y") \
.output(0, "output") \
.dtype_format(DataType.BOOL_Default, DataType.BOOL_Default, DataType.BOOL_Default) \
.get_op_info()
@op_info_register(logicaland_op_info)
def _logical_and_akg():
"""LogicalAnd register"""
return
#
# 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.
"""SimpleMeanGrad op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
mean_grad_op_info = AkgRegOp("SimpleMeanGrad") \
.fusion_type("OPAQUE") \
.input(0, "HEAD") \
.output(0, "output") \
.attr("input_shape", "required", "listInt") \
.dtype_format(DataType.F16_Default, DataType.F16_Default) \
.dtype_format(DataType.F32_Default, DataType.F32_Default) \
.get_op_info()
@op_info_register(mean_grad_op_info)
def _simple_mean_grad_akg():
"""SimpleMeanGrad AutoDiff register"""
return
# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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.
"""Mul op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
mul_op_info = AkgRegOp("Mul") \
.fusion_type("OPAQUE") \
.input(0, "x") \
.input(1, "y") \
.output(0, "output") \
.dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.F16_Default) \
.dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.F32_Default) \
.get_op_info()
@op_info_register(mul_op_info)
def _mul_akg():
"""Mul AutoDiff register"""
return
# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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.
"""Tile op"""
from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
tile_op_info = AkgRegOp("Tile") \
.fusion_type("OPAQUE") \
.input(0, "x") \
.output(0, "output") \
.attr("multiples", "required", "listInt") \
.dtype_format(DataType.F16_Default, DataType.F16_Default) \
.dtype_format(DataType.F32_Default, DataType.F32_Default) \
.get_op_info()
@op_info_register(tile_op_info)
def _tile_akg():
"""Tile AutoDiff register"""
return
