Fix error message

oneflow/core/autograd/gradient_funcs/dot.cpp

@@ -21,9 +21,7 @@ namespace one {
 
 struct DotCaptureState : public AutoGradCaptureState {
   bool x_requires_grad = false;
-  ;
   bool y_requires_grad = false;
-  ;
   size_t x_offset = 0;
   size_t y_offset = 0;
 };

oneflow/user/kernels/dot_kernel.cpp

@@ -48,7 +48,6 @@ class DotKernel final : public user_op::OpKernel {
     const user_op::Tensor* y = ctx->Tensor4ArgNameAndIndex("y", 0);
     user_op::Tensor* out = ctx->Tensor4ArgNameAndIndex("out", 0);
     int64_t n = x->shape().elem_cnt();
-    CHECK(n <= INT_MAX);
     auto primitive = NewMatmulPrimitive(ctx);
 
     primitive->Launch(ctx->stream(), 1, 1, n, 1, x->dptr(), y->dptr(), 0, out->mut_dptr());

oneflow/user/ops/dot_op.cpp

@@ -43,7 +43,8 @@ REGISTER_USER_OP("dot")
     .SetDataTypeInferFn([](user_op::InferContext* ctx) -> Maybe<void> {
       const user_op::TensorDesc& x = ctx->InputTensorDesc("x", 0);
       const user_op::TensorDesc& y = ctx->InputTensorDesc("y", 0);
-      CHECK_OR_RETURN(x.data_type() == y.data_type()) << "The input tensor type is different";
+      CHECK_OR_RETURN(x.data_type() == y.data_type())
+          << "The data type of input tensors are different";
       *ctx->OutputDType("out", 0) = ctx->InputDType("x", 0);
       return Maybe<void>::Ok();
     });

python/oneflow/framework/docstr/math_ops.py

@@ -1283,7 +1283,7 @@
     The equation is:
 
 	$$		
-	​   \\sum_{i=1}^{n}(x[i] * y[i])
+        \\sum_{i=1}^{n}(x[i] * y[i])
 	$$
 
     Args: