!27965 fix the adapter of DynamicGRUV2 and the max dimension of input logits of BCEWithLogitsLoss

Merge pull request !27965 from wangshuide/wsd_master

mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/bce_with_logits_loss_impl.cuh

@@ -17,7 +17,7 @@
 #ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_CUDA_IMPL_BCE_WITH_LOGITS_LOSS_IMPL_CUH_
 #define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_CUDA_IMPL_BCE_WITH_LOGITS_LOSS_IMPL_CUH_
 
-#define MAX_LOGITS_DIMENSION 100
+#define MAX_LOGITS_DIMENSION 8
 #include "runtime/device/gpu/cuda_common.h"
 
 template <typename T>

mindspore/ccsrc/transform/graph_ir/op_declare/rnn_declare.cc

@@ -112,7 +112,7 @@ ATTR_MAP(DynamicGRUV2) = {{"direction", ATTR_DESC(direction, AnyTraits<std::stri
                           {"cell_clip", ATTR_DESC(cell_clip, AnyTraits<float>())},
                           {"num_proj", ATTR_DESC(num_proj, AnyTraits<int64_t>())},
                           {"time_major", ATTR_DESC(time_major, AnyTraits<bool>())},
-                          {"activation", ATTR_DESC(direction, AnyTraits<std::string>())},
+                          {"activation", ATTR_DESC(activation, AnyTraits<std::string>())},
                           {"gate_order", ATTR_DESC(gate_order, AnyTraits<std::string>())},
                           {"reset_after", ATTR_DESC(reset_after, AnyTraits<bool>())},
                           {"is_training", ATTR_DESC(is_training, AnyTraits<bool>())}};

mindspore/python/mindspore/ops/operations/math_ops.py

@@ -4780,7 +4780,7 @@ class Atanh(Primitive):
     Inputs:
         - **x** (Tensor): The shape of tensor is
           :math:`(N,*)` where :math:`*` means, any number of additional dimensions.
-           The data type should be one of the following types: float16, float32.
+          The data type should be one of the following types: float16, float32.
 
     Outputs:
         A Tensor, has the same type as the input.