llvm: Use np.asarray instead of asfarray if dtype is provided

Signed-off-by: Jan Vesely <[email protected]>
PrincetonUniversity · Jan 9, 2025 · c9fcf7a · c9fcf7a
1 parent d00a524
commit c9fcf7a
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/psyneulink/core/llvm/execution.py b/psyneulink/core/llvm/execution.py
@@ -262,7 +262,7 @@ def _state_struct(self):
         return self._get_compilation_param('_state', '_get_state_initializer', 1)
 
     def execute(self, variable):
-        new_variable = np.asfarray(variable, dtype=self._bin_func.np_arg_dtypes[2].base)
+        new_variable = np.asarray(variable, dtype=self._bin_func.np_arg_dtypes[2].base)
         data_in = new_variable.reshape(self._bin_func.np_arg_dtypes[2].shape)
 
         data_out = self._bin_func.np_buffer_for_arg(3)
@@ -273,7 +273,7 @@ def execute(self, variable):
 
     def cuda_execute(self, variable):
         # Create input argument, PyCUDA doesn't care about shape
-        data_in = np.asfarray(variable, dtype=self._bin_func.np_arg_dtypes[2].base)
+        data_in = np.asarray(variable, dtype=self._bin_func.np_arg_dtypes[2].base)
         data_out = self._bin_func.np_buffer_for_arg(3)
 
         self._bin_func.cuda_call(self._cuda_param_struct,