removed file not used anymore

theano/sandbox/cuda/type_support.cu

-#include <Python.h>
-#include <numpy/arrayobject.h>
-#include "cuda_ndarray.cuh"
-
-static PyObject * 
-filter(PyObject* __unsed_self, PyObject *args) // args = (data, broadcastable, strict)
-{
-    PyObject *py_data=NULL;
-    PyArrayObject * data = NULL;
-    int strict = 0;
-    PyObject * broadcastable=NULL;
-
-    if (!PyArg_ParseTuple(args, "OOi", &py_data, &broadcastable, &strict)) return NULL;
-
-    if (!PyTuple_Check(broadcastable)){
-        PyErr_SetString(PyExc_TypeError, "broadcastable arg should be a tuple of int.");
-        return NULL;
-    }
-    Py_INCREF(py_data);
-    Py_INCREF(broadcastable);
-
-    CudaNdarray * cnda = (CudaNdarray*)py_data;
-
-    if (strict or CudaNdarray_Check(py_data))
-    {
-        //TODO: support non-strict "casting" from a vt to the broadcastable/type/size that we need.
-        if (!CudaNdarray_Check(py_data)) 
-        {
-            Py_DECREF(py_data);
-            Py_DECREF(broadcastable);
-            PyErr_SetString(PyExc_TypeError, "strict mode requires CudaNdarray");
-            return NULL;
-        }
-        if (cnda->nd != PyTuple_Size(broadcastable))
-        {
-            Py_DECREF(py_data);
-            Py_DECREF(broadcastable);
-            PyErr_Format(PyExc_TypeError, "Wrong rank: %i vs %li", cnda->nd, (long)PyTuple_Size(broadcastable));
-            return NULL;
-        }
-        for (int i = 0; i < cnda->nd; ++i)
-        {
-            if ((CudaNdarray_HOST_DIMS(cnda)[i] > 1) and PyInt_AsLong(PyTuple_GetItem(broadcastable, Py_ssize_t(i))))
-            {
-                PyErr_Format(PyExc_TypeError, "Non-unit size in broadcastable vt dimension %i", i);
-                Py_DECREF(py_data);
-                Py_DECREF(broadcastable);
-                return NULL;
-            }
-        }
-        Py_DECREF(broadcastable);
-        return py_data;
-    }
-    else
-    {
-        data = (PyArrayObject*)PyArray_FromObject(py_data, REAL_TYPENUM, PyTuple_Size(broadcastable), PyTuple_Size(broadcastable));
-        if (!data)
-        {
-            //err message already defined
-            Py_DECREF(py_data);
-            Py_DECREF(broadcastable);
-            return NULL;
-        }
-        for (int i = 0; i < data->nd; ++i)
-        {
-            if ((data->dimensions[i] > 1) and PyInt_AsLong(PyTuple_GetItem(broadcastable, Py_ssize_t(i))))
-            {
-                PyErr_Format(PyExc_TypeError, "Non-unit size in broadcastable dimension %i", i);
-                Py_DECREF(data);
-                Py_DECREF(py_data);
-                Py_DECREF(broadcastable);
-                return NULL;
-            }
-        }
-        CudaNdarray * rval = (CudaNdarray*) CudaNdarray_new_null();
-        if (CudaNdarray_CopyFromArray(rval, data))
-        {
-            Py_DECREF(rval);
-            rval = NULL;
-        }
-        Py_DECREF(data);
-        Py_DECREF(py_data);
-        Py_DECREF(broadcastable);
-        return (PyObject*)rval;
-    }
-}
-
-#define MDECL(s) {""#s, s, METH_VARARGS, "documentation of "#s"... nothing!"}
-static PyMethodDef MyMethods[] = {
-    MDECL(filter),
-    {NULL, NULL, 0, NULL} /*end of list */
-};
-
-
-PyMODINIT_FUNC
-inittype_support(void)
-{
-        (void) Py_InitModule("type_support", MyMethods);
-        import_array();
-}
-