pystencils/astnodes.py

@@ -506,7 +506,6 @@ class SympyAssignment(Node):
         super(SympyAssignment, self).__init__(parent=None)
         self._lhs_symbol = lhs_symbol
         self.rhs = sp.sympify(rhs_expr)
-        self._is_const = is_const
         self._is_declaration = self.__is_declaration()
 
     def __is_declaration(self):
@@ -563,10 +562,6 @@ class SympyAssignment(Node):
     def is_declaration(self):
         return self._is_declaration
 
-    @property
-    def is_const(self):
-        return self._is_const
-
     def replace(self, child, replacement):
         if child == self.lhs:
             replacement.parent = self

pystencils/backends/cbackend.py

@@ -225,13 +225,9 @@ class CBackend:
 
     def _print_SympyAssignment(self, node):
         if node.is_declaration:
-            if node.is_const:
-                prefix = 'const '
-            else:
-                prefix = ''
-            data_type = prefix + self._print(node.lhs.dtype).replace(' const', '') + " "
-            return "%s%s = %s;" % (data_type, self.sympy_printer.doprint(node.lhs),
-                                   self.sympy_printer.doprint(node.rhs))
+            data_type = self._print(node.lhs.dtype)
+            return "%s %s = %s;" % (data_type, self.sympy_printer.doprint(node.lhs),
+                                    self.sympy_printer.doprint(node.rhs))
         else:
             lhs_type = get_type_of_expression(node.lhs)
             if type(lhs_type) is VectorType and isinstance(node.lhs, cast_func):

pystencils/cpu/vectorization.py

@@ -63,11 +63,11 @@ def vectorize(kernel_ast: ast.KernelFunction, instruction_set: str = 'avx',
     if assume_inner_stride_one:
         replace_inner_stride_with_one(kernel_ast)
 
-    field_float_dtypes = set(f.dtype for f in all_fields if f.dtype.is_float())
+    field_float_dtypes = set(f.dtype.numpy_dtype for f in all_fields if f.dtype.is_float())
     if len(field_float_dtypes) != 1:
         raise NotImplementedError("Cannot vectorize kernels that contain accesses "
                                   "to differently typed floating point fields")
-    float_size = field_float_dtypes.pop().numpy_dtype.itemsize
+    float_size = field_float_dtypes.pop().itemsize
     assert float_size in (8, 4)
     vector_is = get_vector_instruction_set('double' if float_size == 8 else 'float',
                                            instruction_set=instruction_set)
@@ -148,7 +148,7 @@ def insert_vector_casts(ast_node):
                 return expr
             else:
                 target_type = collate_types(arg_types)
-                casted_args = [cast_func(a, target_type) if t != target_type else a
+                casted_args = [cast_func(a, target_type) if not t.equal_ignoring_const(target_type) else a
                                for a, t in zip(new_args, arg_types)]
                 return expr.func(*casted_args)
         elif expr.func is sp.Pow:
@@ -167,11 +167,11 @@ def insert_vector_casts(ast_node):
             if type(condition_target_type) is not VectorType and type(result_target_type) is VectorType:
                 condition_target_type = VectorType(condition_target_type, width=result_target_type.width)
 
-            casted_results = [cast_func(a, result_target_type) if t != result_target_type else a
+            casted_results = [cast_func(a, result_target_type) if not t.equal_ignoring_const(result_target_type) else a
                               for a, t in zip(new_results, types_of_results)]
 
             casted_conditions = [cast_func(a, condition_target_type)
-                                 if t != condition_target_type and a is not True else a
+                                 if not t.equal_ignoring_const(condition_target_type) and a is not True else a
                                  for a, t in zip(new_conditions, types_of_conditions)]
 
             return sp.Piecewise(*[(r, c) for r, c in zip(casted_results, casted_conditions)])

pystencils/data_types.py

@@ -453,7 +453,7 @@ def collate_types(types, forbid_collation_to_float=False):
         types = tuple(t for t in types if t.is_float())
     # use numpy collation -> create type from numpy type -> and, put vector type around if necessary
     result_numpy_type = np.result_type(*(t.numpy_dtype for t in types))
-    result = BasicType(result_numpy_type)
+    result = BasicType(result_numpy_type, const=any(t.const for t in types))
     if vector_type:
         result = VectorType(result, vector_type[0].width)
     return result
@@ -618,6 +618,12 @@ class BasicType(Type):
         else:
             return (self.numpy_dtype, self.const) == (other.numpy_dtype, other.const)
 
+    def equal_ignoring_const(self, other):
+        if not isinstance(other, BasicType):
+            return False
+        else:
+            return self.numpy_dtype == other.numpy_dtype
+
     def __hash__(self):
         return hash(str(self))
 
@@ -643,17 +649,23 @@ class VectorType(Type):
         else:
             return (self.base_type, self.width) == (other.base_type, other.width)
 
+    def equal_ignoring_const(self, other):
+        if not isinstance(other, VectorType):
+            return False
+        else:
+            return self.base_type.equal_ignoring_const(other.base_type)
+
     def __str__(self):
         if self.instruction_set is None:
             return "%s[%d]" % (self.base_type, self.width)
         else:
-            if self.base_type == create_type("int64"):
+            if self.base_type.numpy_dtype == np.int64:
                 return self.instruction_set['int']
-            elif self.base_type == create_type("float64"):
+            elif self.base_type.numpy_dtype == np.float64:
                 return self.instruction_set['double']
-            elif self.base_type == create_type("float32"):
+            elif self.base_type.numpy_dtype == np.float32:
                 return self.instruction_set['float']
-            elif self.base_type == create_type("bool"):
+            elif self.base_type.numpy_dtype == np.bool:
                 return self.instruction_set['bool']
             else:
                 raise NotImplementedError()
@@ -692,6 +704,12 @@ class PointerType(Type):
         else:
             return (self.base_type, self.const, self.restrict) == (other.base_type, other.const, other.restrict)
 
+    def equal_ignoring_const(self, other):
+        if not isinstance(other, PointerType):
+            return False
+        else:
+            return self.base_type.equal_ignoring_const(other.base_type)
+
     def __str__(self):
         components = [str(self.base_type), '*']
         if self.restrict:
@@ -743,6 +761,12 @@ class StructType:
         else:
             return (self.numpy_dtype, self.const) == (other.numpy_dtype, other.const)
 
+    def equal_ignoring_const(self, other):
+        if not isinstance(other, StructType):
+            return False
+        else:
+            return self.numpy_dtype == other.numpy_dtype
+
     def __str__(self):
         # structs are handled byte-wise
         result = "uint8_t"

pystencils/kernelparameters.py

@@ -16,7 +16,7 @@ would reference back to the field.
 from sympy.core.cache import cacheit
 
 from pystencils.data_types import (
-    PointerType, TypedSymbol, create_composite_type_from_string, get_base_type)
+    BasicType, PointerType, TypedSymbol, create_composite_type_from_string, get_base_type)
 
 SHAPE_DTYPE = create_composite_type_from_string("const int64")
 STRIDE_DTYPE = create_composite_type_from_string("const int64")
@@ -78,7 +78,8 @@ class FieldPointerSymbol(TypedSymbol):
 
     def __new_stage2__(cls, field_name, field_dtype, const):
         name = "_data_{name}".format(name=field_name)
-        dtype = PointerType(get_base_type(field_dtype), const=const, restrict=True)
+        base_type = BasicType(get_base_type(field_dtype), const=const)
+        dtype = PointerType(base_type, const=True, restrict=True)
         obj = super(FieldPointerSymbol, cls).__xnew__(cls, name, dtype)
         obj.field_name = field_name
         return obj

pystencils/transformations.py

@@ -878,7 +878,9 @@ class KernelConstraintsCheck:
         assert isinstance(lhs, sp.Symbol)
         self._update_accesses_lhs(lhs)
         if not isinstance(lhs, (AbstractField.AbstractAccess, TypedSymbol)):
-            return TypedSymbol(lhs.name, self._type_for_symbol[lhs.name])
+            dtype = create_type(self._type_for_symbol[lhs.name])
+            dtype.const = True
+            return TypedSymbol(lhs.name, dtype)
         else:
             return lhs