forked from mindspore-Ecosystem/mindspore
!25317 [feat] [assistant] [I48OAB] add dynamic shape for Softsign operator
Merge pull request !25317 from 路雄博/softsign_dynamic
This commit is contained in:
commit
36c6b30b3f
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@ -373,6 +373,7 @@ MS_CORE_API inline const PrimitivePtr kPrimAudioSpectrogram = std::make_shared<P
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MS_CORE_API inline const PrimitivePtr kPrimFlatten = std::make_shared<Primitive>("Flatten");
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MS_CORE_API inline const PrimitivePtr kPrimCrop = std::make_shared<Primitive>("Crop");
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MS_CORE_API inline const PrimitivePtr kPrimFlattenGrad = std::make_shared<Primitive>("FlattenGrad");
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MS_CORE_API inline const PrimitivePtr kPrimSoftsign = std::make_shared<Primitive>("Softsign");
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MS_CORE_API inline const PrimitivePtr kPrimSoftmax = std::make_shared<Primitive>("Softmax");
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MS_CORE_API inline const PrimitivePtr kPrimSparseSoftmaxCrossEntropy =
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std::make_shared<Primitive>("SparseSoftmaxCrossEntropy");
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@ -0,0 +1,60 @@
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/**
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* Copyright 2021 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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#include "ops/softsign.h"
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#include <string>
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#include <algorithm>
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#include <map>
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#include <set>
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#include <vector>
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#include "ops/op_utils.h"
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#include "utils/check_convert_utils.h"
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#include "abstract/primitive_infer_map.h"
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namespace mindspore {
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namespace ops {
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namespace {
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abstract::ShapePtr InferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
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MS_EXCEPTION_IF_NULL(primitive);
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auto prim_name = primitive->name();
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(void)CheckAndConvertUtils::CheckInteger("input numbers", SizeToLong(input_args.size()), kGreaterEqual, 1, prim_name);
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(void)CheckAndConvertUtils::CheckArgs<abstract::AbstractTensor>(prim_name, input_args, 0);
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auto x = input_args[0]->BuildShape();
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MS_EXCEPTION_IF_NULL(x);
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auto shape_element = x->cast<abstract::ShapePtr>();
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MS_EXCEPTION_IF_NULL(shape_element);
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return shape_element;
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}
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TypePtr InferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
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MS_EXCEPTION_IF_NULL(prim);
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auto prim_name = prim->name();
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(void)CheckAndConvertUtils::CheckInteger("input numbers", SizeToLong(input_args.size()), kEqual, 1, prim_name);
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MS_EXCEPTION_IF_NULL(input_args[0]);
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auto x_type = input_args[0]->BuildType();
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const std::set valid_types = {kFloat16, kFloat32};
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(void)CheckAndConvertUtils::CheckTensorTypeValid("input_x", x_type, valid_types, prim_name);
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return x_type;
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}
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} // namespace
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AbstractBasePtr SoftsignInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
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const std::vector<AbstractBasePtr> &input_args) {
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auto type = InferType(primitive, input_args);
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auto shape = InferShape(primitive, input_args);
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return abstract::MakeAbstract(shape, type);
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}
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REGISTER_PRIMITIVE_EVAL_IMPL(Softsign, prim::kPrimSoftsign, SoftsignInfer, nullptr, true);
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} // namespace ops
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} // namespace mindspore
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@ -0,0 +1,40 @@
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/**
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* Copyright 2021 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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#ifndef MINDSPORE_CORE_OPS_SOFTSIGN_H_
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#define MINDSPORE_CORE_OPS_SOFTSIGN_H_
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#include <map>
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#include <vector>
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#include <string>
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#include <memory>
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#include "ops/primitive_c.h"
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#include "abstract/abstract_value.h"
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#include "utils/check_convert_utils.h"
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#include "ops/op_utils.h"
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namespace mindspore {
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namespace ops {
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constexpr auto kNameSoftsign = "Softsign";
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class Softsign : public PrimitiveC {
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public:
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Softsign() : PrimitiveC(kNameSoftsign) { InitIOName({"x"}, {"output"}); }
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~Softsign() = default;
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MS_DECLARE_PARENT(Softsign, PrimitiveC);
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void Init() {}
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};
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} // namespace ops
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} // namespace mindspore
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#endif // MINDSPORE_CORE_OPS_SOFTSIGN_H_
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@ -232,6 +232,7 @@ from .tanh_grad_ds import _tanh_grad_ds_tbe
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from .softmax import _softmax_tbe
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from .softmax_ds import _softmax_ds_tbe
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from .softsign import _softsign_tbe
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from .softsign_ds import _softsign_ds_tbe
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from .softplus import _softplus_tbe
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from .softplus_ds import _softplus_ds_tbe
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from .softplus_grad import _softplus_grad_tbe
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@ -0,0 +1,38 @@
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# Copyright 2021 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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"""Softsign op"""
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from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
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softsign_op_info = TBERegOp("Softsign") \
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.fusion_type("ELEMWISE") \
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.async_flag(False) \
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.binfile_name("softsign.so") \
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.compute_cost(10) \
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.kernel_name("softsign") \
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.partial_flag(True) \
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.dynamic_shape(True) \
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.input(0, "x", False, "required", "all") \
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.output(0, "y", False, "required", "all") \
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.op_pattern("formatAgnostic") \
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.dtype_format(DataType.F16_None, DataType.F16_None) \
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.dtype_format(DataType.F32_None, DataType.F32_None) \
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.get_op_info()
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@op_info_register(softsign_op_info)
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def _softsign_ds_tbe():
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"""Softsign TBE register"""
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return
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@ -425,7 +425,7 @@ class Softplus(Primitive):
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self.init_prim_io_names(inputs=['x'], outputs=['output'])
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class Softsign(PrimitiveWithInfer):
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class Softsign(Primitive):
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r"""
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Softsign activation function.
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@ -462,13 +462,6 @@ class Softsign(PrimitiveWithInfer):
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"""Initialize Softsign"""
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self.init_prim_io_names(inputs=['x'], outputs=['output'])
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def infer_shape(self, input_x):
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return input_x
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def infer_dtype(self, input_x):
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validator.check_tensor_dtype_valid('input_x', input_x, [mstype.float16, mstype.float32], self.name)
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return input_x
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class ReLU(Primitive):
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r"""
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