forked from mindspore-Ecosystem/mindspore
!25394 [feat][assistant][I48OBZ]add dynamic shape for Invert operation
Merge pull request !25394 from zhixinaa/Invert
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ca2076dede
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@ -505,6 +505,7 @@ inline const PrimitivePtr kPrimMul = std::make_shared<Primitive>(kMul);
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inline const PrimitivePtr kPrimDiv = std::make_shared<Primitive>("Div");
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inline const PrimitivePtr kPrimMod = std::make_shared<Primitive>("Mod");
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inline const PrimitivePtr kPrimFloor = std::make_shared<Primitive>("Floor");
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inline const PrimitivePtr kPrimInvert = std::make_shared<Primitive>("Invert");
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inline const PrimitivePtr kPrimDivNoNan = std::make_shared<Primitive>("DivNoNan");
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inline const PrimitivePtr kPrimMinimum = std::make_shared<Primitive>("Minimum");
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inline const PrimitivePtr kPrimMaximum = std::make_shared<Primitive>("Maximum");
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@ -0,0 +1,54 @@
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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/invert.h"
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#include <map>
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#include <set>
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#include <string>
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#include "ops/op_utils.h"
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#include "utils/check_convert_utils.h"
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namespace mindspore {
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namespace ops {
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namespace {
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abstract::ShapePtr InvertInferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
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auto x_shape = input_args[0]->BuildShape();
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MS_EXCEPTION_IF_NULL(x_shape);
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auto output_shape = x_shape->cast<abstract::ShapePtr>();
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return output_shape;
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}
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TypePtr InvertInferType(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
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MS_EXCEPTION_IF_NULL(primitive);
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auto input_type = input_args[0]->BuildType();
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std::set<TypePtr> check_list = {kInt16, kUInt16};
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(void)CheckAndConvertUtils::CheckTensorTypeValid("x", input_type, check_list, primitive->name());
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return input_type;
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}
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} // namespace
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AbstractBasePtr InvertInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
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const std::vector<AbstractBasePtr> &input_args) {
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MS_EXCEPTION_IF_NULL(primitive);
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const int64_t input_num = 1;
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(void)CheckAndConvertUtils::CheckInputArgs(input_args, kEqual, input_num, primitive->name());
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auto infer_type = InvertInferType(primitive, input_args);
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auto infer_shape = InvertInferShape(primitive, input_args);
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return abstract::MakeAbstract(infer_shape, infer_type);
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}
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REGISTER_PRIMITIVE_EVAL_IMPL(Invert, prim::kPrimInvert, InvertInfer, nullptr, true);
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} // namespace ops
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} // namespace mindspore
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@ -0,0 +1,42 @@
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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_INVERT_H_
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#define MINDSPORE_CORE_OPS_INVERT_H_
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#include <vector>
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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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namespace mindspore {
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namespace ops {
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constexpr auto kNameInvert = "Invert";
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class Invert : public PrimitiveC {
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public:
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Invert() : PrimitiveC(kNameInvert) { InitIOName({"x"}, {"y"}); }
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~Invert() = default;
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MS_DECLARE_PARENT(Invert, PrimitiveC);
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};
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AbstractBasePtr InvertInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
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const std::vector<AbstractBasePtr> &input_args);
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using kPrimInvertPtr = std::shared_ptr<Invert>;
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} // namespace ops
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} // namespace mindspore
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#endif // MINDSPORE_CORE_OPS_INVERT_H_
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@ -348,6 +348,7 @@ from .sinh import _sinh_tbe
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from .inv import _inv_tbe
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from .inv_grad import _inv_grad_tbe
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from .invert import _invert_tbe
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from .invert_ds import _invert_ds_tbe
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from .basic_lstm_cell import _basic_lstm_cell_tbe
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from .basic_lstm_cell_c_state_grad_v2 import _basic_lstm_cell_c_state_grad_tbe_v2
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from .basic_lstm_cell_c_state_grad import _basic_lstm_cell_c_state_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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"""Invert op"""
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from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
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invert_ds_op_info = TBERegOp("Invert") \
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.fusion_type("OPAQUE") \
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.async_flag(False) \
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.binfile_name("invert.so") \
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.compute_cost(10) \
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.kernel_name("invert") \
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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.I16_None, DataType.I16_None) \
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.dtype_format(DataType.U16_None, DataType.U16_None) \
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.get_op_info()
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@op_info_register(invert_ds_op_info)
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def _invert_ds_tbe():
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"""Invert TBE register"""
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return
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@ -5064,7 +5064,7 @@ class Inv(PrimitiveWithInfer):
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return x_dtype
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class Invert(PrimitiveWithInfer):
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class Invert(Primitive):
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r"""
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Flips all bits of input tensor element-wise.
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@ -5094,14 +5094,8 @@ class Invert(PrimitiveWithInfer):
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@prim_attr_register
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def __init__(self):
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pass
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def infer_shape(self, x_shape):
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return x_shape
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def infer_dtype(self, x_dtype):
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validator.check_tensor_dtype_valid('x_dtype', x_dtype, [mstype.int16, mstype.uint16], self.name)
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return x_dtype
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"""Initialize Invert"""
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self.init_prim_io_names(inputs=['x'], outputs=['y'])
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class Eps(PrimitiveWithInfer):
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