Add layout specification on eval resolver tag (#250)

* add LayoutKind enum

* add layout spec on eval resolver

* update default param for resolver on eager func

* update tests

* fix arduino tests

include/nmtools/array/array/activations/celu.hpp

@@ -19,7 +19,7 @@ namespace nmtools::array
      * @param output 
      * @return NMTOOLS_UFUNC_CONSTEXPR 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename alpha_t=float>
     NMTOOLS_UFUNC_CONSTEXPR
     auto celu(const array_t& array, alpha_t alpha=alpha_t{1.0},

include/nmtools/array/array/activations/elu.hpp

@@ -19,7 +19,7 @@ namespace nmtools::array
      * @param output 
      * @return NMTOOLS_UFUNC_CONSTEXPR 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename alpha_t=float>
     NMTOOLS_UFUNC_CONSTEXPR
     auto elu(const array_t& array, alpha_t alpha=alpha_t{1.0},

include/nmtools/array/array/activations/hardshrink.hpp

@@ -19,7 +19,7 @@ namespace nmtools::array
      * @param output 
      * @return NMTOOLS_UFUNC_CONSTEXPR 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename lambda_t=float>
     NMTOOLS_UFUNC_CONSTEXPR
     auto hardshrink(const array_t& array, lambda_t lambda=lambda_t{0.5},

include/nmtools/array/array/activations/hardswish.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     constexpr auto hardswish(const array_t& array,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/activations/hardtanh.hpp

@@ -21,7 +21,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename min_val_t=float, typename max_val_t=float>
     constexpr auto hardtanh(const array_t& array, const min_val_t min_val=min_val_t{-1.0},
         const max_val_t max_val=max_val_t{1.0},

include/nmtools/array/array/activations/leaky_relu.hpp

@@ -19,7 +19,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename negative_slope_t=float>
     constexpr auto leaky_relu(const array_t& array, negative_slope_t negative_slope=negative_slope_t{0.01},
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/activations/log_sigmoid.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return NMTOOLS_UFUNC_CONSTEXPR 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     NMTOOLS_UFUNC_CONSTEXPR
     auto log_sigmoid(const array_t& array,

include/nmtools/array/array/activations/mish.hpp

@@ -6,7 +6,7 @@
 
 namespace nmtools::array
 {
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     NMTOOLS_UFUNC_CONSTEXPR
     auto mish(const array_t& array,

include/nmtools/array/array/activations/prelu.hpp

@@ -19,7 +19,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename alpha_t=float>
     constexpr auto prelu(const array_t& array, alpha_t alpha=alpha_t{0.25},
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/activations/relu.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     constexpr auto relu(const array_t& array,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/activations/relu6.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     constexpr auto relu6(const array_t& array,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/activations/selu.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return NMTOOLS_UFUNC_CONSTEXPR 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     NMTOOLS_UFUNC_CONSTEXPR
     auto selu(const array_t& array,

include/nmtools/array/array/activations/sigmoid.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return NMTOOLS_UFUNC_CONSTEXPR 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     NMTOOLS_UFUNC_CONSTEXPR
     auto sigmoid(const array_t& array,

include/nmtools/array/array/activations/silu.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return NMTOOLS_UFUNC_CONSTEXPR 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     NMTOOLS_UFUNC_CONSTEXPR
     auto silu(const array_t& array,

include/nmtools/array/array/activations/softplus.hpp

@@ -21,7 +21,7 @@ namespace nmtools::array
      * @param output 
      * @return NMTOOLS_UFUNC_CONSTEXPR 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename beta_t=float, typename threshold_t=float>
     NMTOOLS_UFUNC_CONSTEXPR
     auto softplus(const array_t& array, beta_t beta=beta_t{1}, threshold_t threshold=threshold_t{20},

include/nmtools/array/array/activations/softshrink.hpp

@@ -19,7 +19,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename lambda_t=float>
     constexpr auto softshrink(const array_t& array, lambda_t lambda=lambda_t{0.5},
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/activations/softsign.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     constexpr auto softsign(const array_t& array,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/activations/tanhshrink.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return NMTOOLS_UFUNC_CONSTEXPR 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     NMTOOLS_UFUNC_CONSTEXPR
     auto tanhshrink(const array_t& array,

include/nmtools/array/array/arange.hpp

@@ -24,7 +24,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename start_t, typename stop_t, typename step_t, typename T=float>
     constexpr auto arange(start_t start, stop_t stop, step_t step, dtype_t<T> dtype=float32,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)
@@ -37,7 +37,7 @@ namespace nmtools::array
         );
     } // arange
 
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename start_t, typename stop_t, typename T=float>
     constexpr auto arange(start_t start, stop_t stop, dtype_t<T> dtype=float32,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)
@@ -50,7 +50,7 @@ namespace nmtools::array
         );
     } // arange
 
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename stop_t, typename T=float>
     constexpr auto arange(stop_t stop, dtype_t<T> dtype=float32,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/atleast_1d.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     constexpr auto atleast_1d(const array_t& array,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/atleast_2d.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     constexpr auto atleast_2d(const array_t& array,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/atleast_3d.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     constexpr auto atleast_3d(const array_t& array,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/batch_norm.hpp

@@ -27,13 +27,17 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t
-        , typename input_t, typename mean_t, typename var_t, typename weight_t, typename bias_t, typename epsilon_t=float>
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
+        typename input_t, typename mean_t, typename var_t, typename weight_t, typename bias_t, typename epsilon_t=float>
     constexpr auto batch_norm(const input_t& input, const mean_t& mean, const var_t& var, const weight_t& weight, const bias_t& bias, epsilon_t eps=epsilon_t{1e-5}
-        , context_t&& context=context_t{}, output_t&& output=output_t{})
+        , context_t&& context=context_t{}, output_t&& output=output_t{}, meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)
     {
         auto batch_norm_ = view::batch_norm(input,mean,var,weight,bias,eps);
-        return eval(batch_norm_,nmtools::forward<context_t>(context),nmtools::forward<output_t>(output));
+        return eval(batch_norm_
+            ,nmtools::forward<context_t>(context)
+            ,nmtools::forward<output_t>(output)
+            ,resolver
+        );
     } // batch_norm
 } // namespace nmtools::array
 

include/nmtools/array/array/broadcast_arrays.hpp

@@ -16,8 +16,8 @@ namespace nmtools::array
      * @param arrays arrays to be broadcasted together
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t
-        ,typename...arrays_t>
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
+        typename...arrays_t>
     constexpr auto broadcast_arrays(const arrays_t&...arrays)
     {
         auto broadcasted_pack = view::broadcast_arrays(arrays...);

include/nmtools/array/array/broadcast_to.hpp

@@ -7,7 +7,7 @@
 
 namespace nmtools::array
 {
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename shape_t>
     constexpr auto broadcast_to(const array_t& array, shape_t& shape,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/compress.hpp

@@ -21,7 +21,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename condition_t, typename array_t, typename axis_t>
     constexpr auto compress(const condition_t& condition, const array_t& array, axis_t axis,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/concatenate.hpp

@@ -21,7 +21,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename lhs_array_t, typename rhs_array_t, typename axis_t>
     constexpr auto concatenate(const lhs_array_t& lhs, const rhs_array_t& rhs, axis_t axis,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/conv.hpp

@@ -27,7 +27,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename input_t, typename weight_t, typename bias_t=none_t, typename stride_t=none_t, typename padding_t=none_t, typename dilation_t=none_t>
     constexpr auto conv2d(const input_t& input, const weight_t& weight, const bias_t& bias=bias_t{}, const stride_t& stride=stride_t{}
         , [[maybe_unused]] const padding_t& padding=padding_t{}, const dilation_t& dilation=dilation_t{}

include/nmtools/array/array/copy.hpp

@@ -6,15 +6,16 @@
 
 namespace nmtools::array
 {
-    template <typename output_t=none_t, typename context_t=none_t
-        , typename array_t>
-    constexpr auto copy(const array_t& array
-        , context_t&& context=context_t{}, output_t&& output=output_t{})
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
+        typename array_t>
+    constexpr auto copy(const array_t& array,
+        context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)
     {
         auto ref_ = view::ref(array);
         return eval(ref_
             ,nmtools::forward<context_t>(context)
             ,nmtools::forward<output_t>(output)
+            ,resolver
         );
     } // copy
 } // namespace nmtools::array

include/nmtools/array/array/cumprod.hpp

@@ -21,7 +21,7 @@ namespace nmtools::array
      * @param output  optional output
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename axis_t, typename dtype_t=none_t>
     constexpr auto cumprod(const array_t& a, axis_t axis, dtype_t dtype=dtype_t{},
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/cumsum.hpp

@@ -21,7 +21,7 @@ namespace nmtools::array
      * @param output  optional output
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename axis_t, typename dtype_t=none_t>
     constexpr auto cumsum(const array_t& a, axis_t axis, dtype_t dtype=dtype_t{},
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/expand_dims.hpp

@@ -19,7 +19,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename axis_t>
     constexpr auto expand_dims(const array_t& array, axis_t axis,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/flatten.hpp

@@ -17,7 +17,7 @@ namespace nmtools::array
      * @param output
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t>
     constexpr auto flatten(const array_t& array,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)

include/nmtools/array/array/flip.hpp

@@ -20,7 +20,7 @@ namespace nmtools::array
      * @param output 
      * @return constexpr auto 
      */
-    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t,
+    template <typename output_t=none_t, typename context_t=none_t, typename resolver_t=eval_result_t<>,
         typename array_t, typename axis_t>
     constexpr auto flip(const array_t& array, const axis_t& axis,
         context_t&& context=context_t{}, output_t&& output=output_t{},meta::as_value<resolver_t> resolver=meta::as_value_v<resolver_t>)