update

src/interface.jl

@@ -6,29 +6,46 @@ using CUDA
 
 # ------------------------------ 100 characters ------------------------------ #
 
-""" Search wine in stock.
+""" CUDA version of cartesianAssign!().
 
   Arguments\n
-    a : one of ChatAgent's agent.
+  -----
+    a::CuArray
+      target matrix.
+    b::CuArray
+      source matrix. 
 
   Return\n
-    A JSON string of available wine
+  -----
+    Resulting matrix a
 
   Example\n
   ```jldoctest
-  julia> using ChatAgent, CommUtils
+  julia> not done yet
-  julia> agent = ChatAgent.agentReflex("Jene")
-  julia> input = "{\"food\": \"pizza\", \"occasion\": \"anniversary\"}"
-  julia> result = winestock(agent, input)
-  "{"wine 1": {\"Winery\": \"Pichon Baron\", \"wine name\": \"Pauillac (Grand Cru Classé)\", \"grape variety\": \"Cabernet Sauvignon\", \"year\": 2010, \"price\": \"125 USD\", \"stock ID\": \"ar-17\"}, }"
   ```
+
+  Signature\n
+  -----
 """
 cartesianAssign!(a::CuArray, b::CuArray) = @cuda cartesianAssign!(a, b)
 
 
-""" GPU version of batchMatEleMul
+""" CUDA version of batchMatEleMul.
 
-    Example
+  Arguments\n
+  -----
+    a::CuArray 
+      Input matrix
+    b::CuArray 
+      Input matrix
+
+  Return\n
+  -----
+    Resulting matrix
+
+  Example\n
+  -----
+  ```jldoctest
   julia> using Flux, CUDA
   julia> device = Flux.CUDA.functional() ? gpu : cpu
   julia> if device == gpu    CUDA.device!(0) end 
@@ -37,6 +54,10 @@ cartesianAssign!(a::CuArray, b::CuArray) = @cuda cartesianAssign!(a, b)
   julia> r = matMul_3Dto3D_manyTo1batch(input, weight);
   julia> size(r)
   (32, 32, 1024, 128)
+  ```
+  
+  Signature\n
+  -----
 """
 function matMul_3Dto3D_manyTo1batch(a::CuArray, b::CuArray; 
                         resultStorage::Union{CuArray, Nothing}=nothing)