minor

Author: calad0i

hls4ml/model/optimizer/passes/bit_exact.py

@@ -842,10 +842,6 @@ def transform(self, model, node: Layer):
             node.model.config.layer_name_precision[node.name] = str(new_type)
             return False
 
-        if not all(isinstance(l, FixedPointQuantizer) for l in out_layers):
-            warn(f'Input {node.name} has unhandled high precision. Consider setting it manually before synthesising.')
-            return False
-
         sat_modes = [l.SAT for l in out_layers]
         sat_modes_set = set(sat_modes)
         rnd_modes = [l.RND for l in out_layers]

hls4ml/model/optimizer/passes/hgq_proxy_model.py

@@ -44,7 +44,6 @@ def initialize(self):
         self.add_output_variable(shape, dims)
         self.set_attr('n_in', inp.size())
         self.table = self.attributes['table_data']
-        self.attributes['table_size'] = len(self.table)
         self.table_size = len(self.table)
 
         self.add_weights_variable(name='table')

hls4ml/templates/catapult/nnet_utils/nnet_merge.h

@@ -66,15 +66,13 @@ template <class input1_T, class input2_T, class res_T, typename CONFIG_T>
 void maximum(input1_T data1[CONFIG_T::n_elem], input2_T data2[CONFIG_T::n_elem], res_T res[CONFIG_T::n_elem]) {
     for (int ii = 0; ii < CONFIG_T::n_elem; ii++) {
         res[ii] = (data1[ii] > data2[ii]) ? static_cast<res_T>(data1[ii]) : static_cast<res_T>(data2[ii]);
-        res[ii] = (data1[ii] > data2[ii]) ? static_cast<res_T>(data1[ii]) : static_cast<res_T>(data2[ii]);
     }
 }
 
 template <class input1_T, class input2_T, class res_T, typename CONFIG_T>
 void minimum(input1_T data1[CONFIG_T::n_elem], input2_T data2[CONFIG_T::n_elem], res_T res[CONFIG_T::n_elem]) {
     for (int ii = 0; ii < CONFIG_T::n_elem; ii++) {
         res[ii] = (data1[ii] < data2[ii]) ? static_cast<res_T>(data1[ii]) : static_cast<res_T>(data2[ii]);
-        res[ii] = (data1[ii] < data2[ii]) ? static_cast<res_T>(data1[ii]) : static_cast<res_T>(data2[ii]);
     }
 }