support SqrtGrad dynamic shape

mindspore/core/abstract/infer_functions.h

@@ -95,6 +95,8 @@ AbstractBasePtr InferImplSquare(const AnalysisEnginePtr &, const PrimitivePtr &p
 
 AbstractBasePtr InferImplSqrt(const AnalysisEnginePtr &, const PrimitivePtr &primitive,
                               const AbstractBasePtrList &args_spec_list);
+AbstractBasePtr InferImplSqrtGrad(const AnalysisEnginePtr &, const PrimitivePtr &primitive,
+                                  const AbstractBasePtrList &args_spec_list);
 
 AbstractBasePtr InferImplScalarToArray(const AnalysisEnginePtr &, const PrimitivePtr &primitive,
                                        const AbstractBasePtrList &args_spec_list);

mindspore/core/abstract/prim_maths.cc

@@ -47,6 +47,19 @@ AbstractBasePtr InferImplSqrt(const AnalysisEnginePtr &, const PrimitivePtr &pri
   return inp->Clone()->Broaden();
 }
 
+AbstractBasePtr InferImplSqrtGrad(const AnalysisEnginePtr &, const PrimitivePtr &primitive,
+                                  const AbstractBasePtrList &args_spec_list) {
+  // Inputs: two tensors.
+  const std::string op_name = primitive->name();
+  CheckArgsSize(op_name, args_spec_list, 2);
+  auto out = CheckArg<AbstractTensor>(op_name, args_spec_list, 0);
+  auto dout = CheckArg<AbstractTensor>(op_name, args_spec_list, 1);
+  (void)CheckDtypeSame(op_name, out, dout);
+  (void)CheckShapeSame(op_name, out, dout);
+
+  return out->Broaden();
+}
+
 AbstractBasePtr InferImplTensorAdd(const AnalysisEnginePtr &, const PrimitivePtr &primitive,
                                    const AbstractBasePtrList &args_spec_list) {
   // Inputs: two tensors.

mindspore/core/abstract/primitive_infer_map.cc

@@ -41,6 +41,7 @@ PrimitiveEvalImplMap &GetPrimitiveToEvalImplMap() {
     {prim::kPrimTensorAdd, {InferImplTensorAdd, true}},
     {prim::kPrimSquare, {InferImplSquare, true}},
     {prim::kPrimSqrt, {InferImplSqrt, true}},
+    {prim::kPrimSqrtGrad, {InferImplSqrtGrad, true}},
     {prim::kPrimSub, {InferImplSub, true}},
     {prim::kPrimEqual, {InferImplEqual, true}},
     {prim::kPrimMinimum, {InferImplMinimum, true}},

mindspore/core/base/core_ops.h

@@ -241,6 +241,7 @@ inline const PrimitivePtr kPrimInplaceSub = std::make_shared<Primitive>("Inplace
 inline const PrimitivePtr kPrimPow = std::make_shared<Primitive>("Pow");
 inline const PrimitivePtr kPrimRealDiv = std::make_shared<Primitive>("RealDiv");
 inline const PrimitivePtr kPrimSqrt = std::make_shared<Primitive>("Sqrt");
+inline const PrimitivePtr kPrimSqrtGrad = std::make_shared<Primitive>("SqrtGrad");
 inline const PrimitivePtr kPrimReciprocal = std::make_shared<Primitive>("Reciprocal");
 inline const PrimitivePtr kPrimExpandDims = std::make_shared<Primitive>("ExpandDims");
 inline const PrimitivePtr kPrimAbs = std::make_shared<Primitive>("Abs");

mindspore/ops/_op_impl/tbe/__init__.py

@@ -260,6 +260,7 @@ from .cumprod import _cumprop_tbe
 from .reduce_prod import _reduce_prod_tbe
 from .reciprocal_grad import _reciprocal_grad_tbe
 from .sqrt_grad import _sqrt_grad_tbe
+from .sqrt_grad_ds import _sqrt_grad_ds_tbe
 from .rsqrt_grad import _rsqrt_grad_tbe
 from .flatten_grad import _flatten_grad_tbe
 from .scatter_add import _scatter_add_tbe

mindspore/ops/_op_impl/tbe/sqrt_grad_ds.py

@@ -0,0 +1,44 @@
+# 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.
+# ============================================================================
+
+"""SqrtGrad op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+sqrt_grad_op_info = TBERegOp("SqrtGrad") \
+    .fusion_type("ELEMWISE") \
+    .async_flag(False) \
+    .binfile_name("sqrt_grad.so") \
+    .compute_cost(10) \
+    .kernel_name("sqrt_grad") \
+    .partial_flag(True) \
+    .dynamic_shape(True) \
+    .input(0, "x", False, "required", "all") \
+    .input(1, "dy", False, "required", "all") \
+    .output(0, "y", False, "required", "all") \
+    .dtype_format(DataType.F16_5HD, DataType.F16_5HD, DataType.F16_5HD) \
+    .dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.F16_Default) \
+    .dtype_format(DataType.F16_FracNZ, DataType.F16_FracNZ, DataType.F16_FracNZ) \
+    .dtype_format(DataType.F16_C1HWNCoC0, DataType.F16_C1HWNCoC0, DataType.F16_C1HWNCoC0) \
+    .dtype_format(DataType.F32_5HD, DataType.F32_5HD, DataType.F32_5HD) \
+    .dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.F32_Default) \
+    .dtype_format(DataType.F32_FracNZ, DataType.F32_FracNZ, DataType.F32_FracNZ) \
+    .dtype_format(DataType.F32_C1HWNCoC0, DataType.F32_C1HWNCoC0, DataType.F32_C1HWNCoC0) \
+    .get_op_info()
+
+
+@op_info_register(sqrt_grad_op_info)
+def _sqrt_grad_ds_tbe():
+    """SqrtGrad TBE register"""
+    return