forked from huawei/mindspore2022
109 lines
2.0 KiB
Python
109 lines
2.0 KiB
Python
# Copyright 2020 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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""" resolve ops """
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from mindspore.ops.op_selector import new_ops_selector
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op_selector = new_ops_selector(
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"mindspore.ops.operations", "mindspore.nn.graph_kernels")
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opt_selector = new_ops_selector(
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"mindspore.nn.optim", "mindspore.nn.graph_kernels")
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nn_selector = new_ops_selector(
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"mindspore.nn", "mindspore.nn.graph_kernels")
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@nn_selector
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class BatchNorm2d:
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def __call__(self, *args):
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pass
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@op_selector
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class ReLU:
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def __call__(self, *args):
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pass
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@op_selector
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class ReduceMean:
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def __call__(self, *args):
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pass
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@op_selector
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class BiasAdd:
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def __call__(self, *args):
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pass
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@op_selector
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class FusedBatchNorm:
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def __call__(self, *args):
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pass
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@op_selector
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class ApplyMomentum:
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def __call__(self, *args):
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pass
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@op_selector
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class SoftmaxCrossEntropyWithLogits:
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def __call__(self, *args):
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pass
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@op_selector
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class LogSoftmax:
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def __call__(self, *args):
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pass
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@op_selector
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class Tanh:
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def __call__(self, *args):
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pass
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@op_selector
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class Gelu:
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def __call__(self, *args):
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pass
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@op_selector
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class LayerNorm:
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def __call__(self, *args):
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pass
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@op_selector
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class Softmax:
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def __call__(self, *args):
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pass
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@op_selector
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class LambUpdateWithLR:
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def __call__(self, *args):
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pass
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@op_selector
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class LambNextMV:
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def __call__(self, *args):
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pass
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