Merge pull request #273 from ROCmSoftwarePlatform/rnn_optimization

Rnn optimization

src/include/migraphx/op/binary.hpp

@@ -28,8 +28,10 @@ struct binary : op_name<Derived>
     argument compute(const shape& output_shape, std::vector<argument> args) const
     {
         argument result{output_shape};
+        auto s1 = args[0].get_shape();
+        auto s2 = args[1].get_shape();
         visit_all(result, args[0], args[1])([&](auto output, auto input1, auto input2) {
-            if(input1.get_shape().packed() and input2.get_shape().packed())
+            if(s1 == s2 and input1.get_shape().packed() and input2.get_shape().packed())
             {
                 std::transform(input1.begin(),
                                input1.end(),

src/include/migraphx/stringutils.hpp

@@ -52,6 +52,8 @@ inline std::string transform_string(std::string s, F f)
 
 inline std::string to_upper(std::string s) { return transform_string(std::move(s), ::toupper); }
 
+inline std::string to_lower(std::string s) { return transform_string(std::move(s), ::tolower); }
+
 inline bool starts_with(const std::string& value, const std::string& prefix)
 {
     if(prefix.size() > value.size())

src/onnx/onnx.cpp

@@ -100,6 +100,7 @@ struct onnx_parser
 
     void init_actv_func()
     {
+        // Support name format of all lower case or the first letter capital
         map_actv_funcs.insert(std::make_pair("tanh", op::tanh{}));
         map_actv_funcs.insert(std::make_pair("relu", op::relu{}));
         map_actv_funcs.insert(std::make_pair("sigmoid", op::sigmoid{}));
@@ -871,7 +872,9 @@ struct onnx_parser
             auto names = attributes.at("activations").strings();
             vec_names.clear();
             vec_names.resize(names.size());
-            std::copy(names.begin(), names.end(), vec_names.begin());
+            std::transform(names.begin(), names.end(), vec_names.begin(), [](auto name) {
+                return to_lower(name);
+            });
         }
 
         auto name_it = std::find_if(vec_names.begin(), vec_names.end(), [&](auto& name) {
@@ -962,7 +965,9 @@ struct onnx_parser
             auto names = attributes.at("activations").strings();
             vec_names.clear();
             vec_names.resize(names.size());
-            std::copy(names.begin(), names.end(), vec_names.begin());
+            std::transform(names.begin(), names.end(), vec_names.begin(), [](auto name) {
+                return to_lower(name);
+            });
         }
 
         // need 4 activation functions
@@ -1089,7 +1094,9 @@ struct onnx_parser
             auto names = attributes.at("activations").strings();
             vec_names.clear();
             vec_names.resize(names.size());
-            std::copy(names.begin(), names.end(), vec_names.begin());
+            std::transform(names.begin(), names.end(), vec_names.begin(), [](auto name) {
+                return to_lower(name);
+            });
         }
 
         // need 6 activation functions for bidirectional directions

src/py/migraphx_py.cpp

@@ -8,6 +8,7 @@
 #include <migraphx/stringutils.hpp>
 #include <migraphx/tf.hpp>
 #include <migraphx/onnx.hpp>
+#include <migraphx/type_name.hpp>
 
 #ifdef HAVE_GPU
 #include <migraphx/gpu/target.hpp>
@@ -101,8 +102,13 @@ migraphx::shape to_shape(const py::buffer_info& info)
             t = as.type_enum();
             n = sizeof(as());
         }
-
     });
+
+    if(n == 0)
+    {
+        MIGRAPHX_THROW("MIGRAPHX PYTHON: Unsupported data type" + info.format);
+    }
+
     auto strides = info.strides;
     std::transform(strides.begin(), strides.end(), strides.begin(), [&](auto i) -> std::size_t {
         return n > 0 ? i / n : 0;