!25369 [feat] [assistant] [I48OBD] add dynamic shape for BesselI1e operator

Merge pull request !25369 from lyl116/BesselI1e

mindspore/core/base/core_ops.h

@@ -297,6 +297,7 @@ inline const PrimitivePtr kPrimAsinh = std::make_shared<Primitive>("Asinh");
 inline const PrimitivePtr kPrimAcosh = std::make_shared<Primitive>("Acosh");
 inline const PrimitivePtr kPrimAtanh = std::make_shared<Primitive>("Atanh");
 inline const PrimitivePtr kPrimApplyGradientDescent = std::make_shared<Primitive>("ApplyGradientDescent");
+inline const PrimitivePtr kPrimBesselI1e = std::make_shared<Primitive>("BesselI1e");
 inline const PrimitivePtr kPrimTanhGrad = std::make_shared<Primitive>("TanhGrad");
 inline const PrimitivePtr kPrimPooling = std::make_shared<Primitive>("Pooling");
 inline const PrimitivePtr kPrimPoolingGrad = std::make_shared<Primitive>("PoolingGrad");

mindspore/core/ops/bessel_i1e.cc

@@ -0,0 +1,59 @@
+/**
+ * Copyright 2021 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.
+ */
+#include "ops/bessel_i1e.h"
+#include <string>
+#include <algorithm>
+#include <map>
+#include <set>
+#include <vector>
+#include "ops/op_utils.h"
+#include "utils/check_convert_utils.h"
+#include "abstract/primitive_infer_map.h"
+
+namespace mindspore {
+namespace ops {
+namespace {
+abstract::ShapePtr BesselI1eInferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
+  MS_EXCEPTION_IF_NULL(primitive);
+  auto prim_name = primitive->name();
+  (void)CheckAndConvertUtils::CheckArgs<abstract::AbstractTensor>(prim_name, input_args, 0);
+  auto x = input_args[0]->BuildShape();
+  MS_EXCEPTION_IF_NULL(x);
+  auto shape_element = x->cast<abstract::ShapePtr>();
+  MS_EXCEPTION_IF_NULL(shape_element);
+  return shape_element;
+}
+TypePtr BesselI1eInferType(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
+  MS_EXCEPTION_IF_NULL(primitive);
+  auto prim_name = primitive->name();
+  MS_EXCEPTION_IF_NULL(input_args[0]);
+  auto x_type = input_args[0]->BuildType();
+  (void)CheckAndConvertUtils::CheckTensorTypeValid("input_x", x_type, common_valid_types, prim_name);
+  return x_type;
+}
+}  // namespace
+AbstractBasePtr BesselI1eInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
+                               const std::vector<AbstractBasePtr> &input_args) {
+  MS_EXCEPTION_IF_NULL(primitive);
+  const int64_t input_num = 1;
+  CheckAndConvertUtils::CheckInputArgs(input_args, kEqual, input_num, primitive->name());
+  auto infer_type = BesselI1eInferType(primitive, input_args);
+  auto infer_shape = BesselI1eInferShape(primitive, input_args);
+  return abstract::MakeAbstract(infer_shape, infer_type);
+}
+REGISTER_PRIMITIVE_EVAL_IMPL(BesselI1e, prim::kPrimBesselI1e, BesselI1eInfer, nullptr, true);
+}  // namespace ops
+}  // namespace mindspore

mindspore/core/ops/bessel_i1e.h

@@ -0,0 +1,39 @@
+/**
+ * Copyright 2021 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.
+ */
+#ifndef MINDSPORE_CORE_OPS_BESSEL_I1E_H_
+#define MINDSPORE_CORE_OPS_BESSEL_I1E_H_
+#include <map>
+#include <vector>
+#include <string>
+#include <memory>
+#include "ops/primitive_c.h"
+#include "abstract/abstract_value.h"
+#include "utils/check_convert_utils.h"
+
+namespace mindspore {
+namespace ops {
+constexpr auto kNameBesselI1e = "BesselI1e";
+
+class BesselI1e : public PrimitiveC {
+ public:
+  BesselI1e() : PrimitiveC(kNameBesselI1e) { InitIOName({"x"}, {"output"}); }
+  ~BesselI1e() = default;
+  MS_DECLARE_PARENT(BesselI1e, PrimitiveC);
+  void Init() {}
+};
+}  // namespace ops
+}  // namespace mindspore
+#endif  // MINDSPORE_CORE_OPS_BESSEL_I1E_H_

mindspore/ops/_op_impl/tbe/__init__.py

@@ -332,6 +332,7 @@ from .scatter_add_ds import _scatter_add_ds_tbe
 from .atan2 import _atan2_tbe
 from .bessel_i0e import _bessel_i0e_tbe
 from .bessel_i1e import _bessel_i1e_tbe
+from .bessel_i1e_ds import _bessel_i1e_ds_tbe
 from .batch_to_space_nd import _batch_to_space_nd_tbe
 from .space_to_batch_nd import _space_to_batch_nd_tbe
 from .bitwise_and import _bitwise_and_tbe

mindspore/ops/_op_impl/tbe/bessel_i1e_ds.py

@@ -0,0 +1,38 @@
+# Copyright 2021 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.
+# ============================================================================
+
+"""BesselI1e op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+bessel_i1e_op_info = TBERegOp("BesselI1e") \
+    .fusion_type("ELEMWISE") \
+    .async_flag(False) \
+    .binfile_name("bessel_i1e.so") \
+    .compute_cost(10) \
+    .kernel_name("bessel_i1e") \
+    .partial_flag(True) \
+    .dynamic_shape(True) \
+    .op_pattern("formatAgnostic") \
+    .input(0, "x", False, "required", "all") \
+    .output(0, "y", False, "required", "all") \
+    .dtype_format(DataType.F16_None, DataType.F16_None) \
+    .dtype_format(DataType.F32_None, DataType.F32_None) \
+    .get_op_info()
+
+
+@op_info_register(bessel_i1e_op_info)
+def _bessel_i1e_ds_tbe():
+    """BesselI1e TBE register"""
+    return

mindspore/ops/operations/math_ops.py

@@ -5041,7 +5041,7 @@ class BesselI0e(PrimitiveWithInfer):
         return x
 
 
-class BesselI1e(PrimitiveWithInfer):
+class BesselI1e(Primitive):
     r"""
     Computes BesselI1e of input element-wise.
 
@@ -5062,6 +5062,7 @@ class BesselI1e(PrimitiveWithInfer):
 
     Raises:
         TypeError: If `x` is not a Tensor.
+        TypeError: If dtype of `x` is not float16 or float32.
 
     Supported Platforms:
         ``Ascend``
@@ -5077,13 +5078,8 @@ class BesselI1e(PrimitiveWithInfer):
     @prim_attr_register
     def __init__(self):
         """Initialize BesselI1e"""
+        self.init_prim_io_names(inputs=['x'], outputs='output')
 
-    def infer_shape(self, x):
-        return x
-
-    def infer_dtype(self, x):
-        validator.check_tensor_dtype_valid('x', x, mstype.number_type, self.name)
-        return x
 
 
 class Inv(PrimitiveWithInfer):