Drop sumpy.kernel.DirectionalTargetDerivative

Closes gh-228

Author: inducer

examples/curve-pot.py

@@ -36,10 +36,6 @@ def process_kernel(knl, what_operator):
     elif what_operator == "D":
         from sumpy.kernel import DirectionalSourceDerivative
         source_knl = DirectionalSourceDerivative(knl)
-    # DirectionalTargetDerivative (temporarily?) removed
-    # elif what_operator == "S'":
-    #     from sumpy.kernel import DirectionalTargetDerivative
-    #     knl = DirectionalTargetDerivative(knl)
     else:
         raise RuntimeError(f"unrecognized operator '{what_operator}'")
 

sumpy/expansion/multipole.py

@@ -100,10 +100,9 @@ def evaluate(self, kernel, coeffs, bvec, rscale, sac=None):
             rscale = 1
 
         base_taker = kernel.get_derivative_taker(bvec, rscale, sac)
-        # Following is a no-op, but AxisTargetDerivative.postprocess_at_target and
-        # DirectionalTargetDerivative.postprocess_at_target only handles
-        # DifferentiatedExprDerivativeTaker and sympy expressions, so we need to
-        # make the taker a DifferentitatedExprDerivativeTaker instance.
+        # Following is a no-op, but AxisTargetDerivative.postprocess_at_target
+        # only handles DifferentiatedExprDerivativeTaker and sympy expressions,
+        # so we need to make the taker a DifferentitatedExprDerivativeTaker instance.
         base_taker = DifferentiatedExprDerivativeTaker(base_taker,
                 {tuple([0]*self.dim): 1})
         taker = kernel.postprocess_at_target(base_taker, bvec)

sumpy/kernel.py

@@ -79,7 +79,6 @@
 .. autoclass:: AxisTargetDerivative
 .. autoclass:: AxisSourceDerivative
 .. autoclass:: DirectionalSourceDerivative
-.. autoclass:: DirectionalTargetDerivative
 
 Transforming kernels
 --------------------
@@ -1143,74 +1142,6 @@ def __repr__(self):
         return f"{type(self).__name__}({self.inner_kernel!r}, {self.dir_vec_name})"
 
 
-class DirectionalTargetDerivative(DirectionalDerivative):
-    directional_kind = "tgt"
-    target_array_name = "targets"
-
-    def get_code_transformer(self):
-        from sumpy.codegen import VectorComponentRewriter
-        vcr = VectorComponentRewriter([self.dir_vec_name])
-        from pymbolic.primitives import Variable
-        via = _VectorIndexAdder(self.dir_vec_name, (Variable("itgt"),))
-
-        inner_transform = self.inner_kernel.get_code_transformer()
-
-        def transform(expr):
-            return via(vcr(inner_transform(expr)))
-
-        return transform
-
-    def postprocess_at_target(self, expr, bvec):
-        from sumpy.derivative_taker import (
-            DifferentiatedExprDerivativeTaker,
-            diff_derivative_coeff_dict,
-        )
-        from sumpy.symbolic import make_sym_vector as make_sympy_vector
-        dir_vec = make_sympy_vector(self.dir_vec_name, self.dim)
-        target_vec = make_sympy_vector(self.target_array_name, self.dim)
-
-        expr = self.inner_kernel.postprocess_at_target(expr, bvec)
-
-        # bvec = tgt - center
-        if not isinstance(expr, DifferentiatedExprDerivativeTaker):
-            result = 0
-            for axis in range(self.dim):
-                # Since `bvec` and `tgt` are two different symbolic variables
-                # need to differentiate by both to get the correct answer
-                result += (expr.diff(bvec[axis]) + expr.diff(target_vec[axis])) \
-                        * dir_vec[axis]
-            return result
-
-        new_transformation = defaultdict(lambda: 0)
-        for axis in range(self.dim):
-            axis_transformation = diff_derivative_coeff_dict(
-                    expr.derivative_coeff_dict, axis, target_vec)
-            for mi, coeff in axis_transformation.items():
-                new_transformation[mi] += coeff * dir_vec[axis]
-
-        return DifferentiatedExprDerivativeTaker(expr.taker,
-                dict(new_transformation))
-
-    def get_args(self):
-        return [
-            KernelArgument(
-                loopy_arg=lp.GlobalArg(
-                    self.dir_vec_name,
-                    None,
-                    shape=(self.dim, "ntargets"),
-                    offset=lp.auto
-                ),
-            ),
-            *self.inner_kernel.get_args()
-        ]
-
-    def prepare_loopy_kernel(self, loopy_knl):
-        loopy_knl = self.inner_kernel.prepare_loopy_kernel(loopy_knl)
-        return lp.tag_array_axes(loopy_knl, self.dir_vec_name, "sep,C")
-
-    mapper_method = "map_directional_target_derivative"
-
-
 class DirectionalSourceDerivative(DirectionalDerivative):
     directional_kind = "src"
 

sumpy/qbx.py

@@ -512,7 +512,6 @@ def find_jump_term(kernel, arg_provider):
         AxisTargetDerivative,
         DerivativeBase,
         DirectionalSourceDerivative,
-        DirectionalTargetDerivative,
     )
 
     tgt_derivatives = []
@@ -522,9 +521,6 @@ def find_jump_term(kernel, arg_provider):
         if isinstance(kernel, AxisTargetDerivative):
             tgt_derivatives.append(kernel.axis)
             kernel = kernel.kernel
-        elif isinstance(kernel, DirectionalTargetDerivative):
-            tgt_derivatives.append(kernel.dir_vec_name)
-            kernel = kernel.kernel
         elif isinstance(kernel, AxisSourceDerivative):
             src_derivatives.append(kernel.axis)
             kernel = kernel.kernel

sumpy/tools.py

@@ -298,7 +298,7 @@ def __init__(self, ctx: Any,
             device: Any | None = None) -> None:
         """
         :arg target_kernels: list of :class:`~sumpy.kernel.Kernel` instances,
-            with :class:`sumpy.kernel.DirectionalTargetDerivative` as
+            with :class:`sumpy.kernel.AxisTargetDerivative` as
             the outermost kernel wrappers, if present.
         :arg source_kernels: list of :class:`~sumpy.kernel.Kernel` instances
             with :class:`~sumpy.kernel.DirectionalSourceDerivative` as the