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Commit f34fa710 authored by André Anjos's avatar André Anjos :speech_balloon:
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Started implementation of Activation

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/**
* @author Andre Anjos <andre.anjos@idiap.ch>
* @date Fri 10 Jan 2014 14:26:25 CET
*
* @brief Python bindings for the machine activation
*
* Copyright (C) 2011-2014 Idiap Research Institute, Martigny, Switzerland
*/
#include <cleanup.h>
#include <bob/machine/Activation.h>
#include <boost/function.hpp>
#include <structmember.h>
/*******************************************
* Implementation of Activation base class *
*******************************************/
PyDoc_STRVAR(s_activation_str, XBOB_EXT_MODULE_PREFIX ".Activation");
PyDoc_STRVAR(s_activation_doc,
"Base class for activation functions (actually, *functors*).\n\
\n\
.. warning::\n\
\n\
You cannot instantiate an object of this type directly, you must\n\
use it through one of the inherited types.\n\
\n\
.. warning::\n\
\n\
You cannot create classes in Python that derive from this one and\n\
expect them to work fine with the C++ code, as no hook is\n\
implemented as of this time to allow for this. You must create\n\
a class that inherits from the C++\n\
:cpp:type:`bob::machine::Activation` in C++ and then bind it to\n\
Python like we have done for the classes available in these\n\
bindings.\n\
\n\
");
static int PyBobMachineActivation_init(PyBobMachineActivationObject* self, PyObject*, PyObject*) {
PyErr_Format(PyExc_NotImplementedError, "cannot initialize object of base type `%s' - use one of the inherited classes", s_activation_str);
return -1;
}
PyDoc_STRVAR(s_call_str, "f");
PyDoc_STRVAR(s_call_doc,
"o.f(z, [res]) -> array | scalar
Computes the activated value, given an input array or scalar\n\
``z``, placing results in ``res`` (and returning it).
If ``z`` is an array, then you can pass another array in ``res``\n\
to store the results and, in this case, we won't allocate a new\n\
one for that purpose. This can be a speed-up in certain scenarios.\n\
Note this does not work for scalars as it makes little sense to\n\
avoid scalar allocation at this level.\n\
\n\
If you decide to pass an array in ``res``, note this array should\n\
have the exact same dimensions as the input array ``z``. It is an
error otherwise.\n\
\n\
.. note::\n\
\n\
This method only accepts 64-bit float arrays as input or\n\
output.\n\
\n\
");
/**
* Maps all elements of arr through function() into retval
*/
static int apply(boost::function<double (double)> function,
PyBlitzArrayObject* z, PyBlitzArrayObject* res) {
if (arr->ndim == 1) {
blitz::Array<double,1>* z_ = PyBlitzArrayCxx_AsBlitz<double,1>(z);
blitz::Array<double,1>* res_ = PyBlitzArrayCxx_AsBlitz<double,1>(res);
for (int k=0; k<z_->extent(0); ++k)
res_->operator()(k) = function(z_->operator()(k));
return 1;
}
else if (array->ndim == 2) {
blitz::Array<double,2>* z_ = PyBlitzArrayCxx_AsBlitz<double,2>(z);
blitz::Array<double,2>* res_ = PyBlitzArrayCxx_AsBlitz<double,2>(res);
for (int k=0; k<z_->extent(0); ++k)
for (int l=0; l<z_->extent(1); ++l)
res_->operator()(k,l) = function(z_->operator()(k,l));
return 1;
}
else if (array->ndim == 3) {
blitz::Array<double,3>* z_ = PyBlitzArrayCxx_AsBlitz<double,3>(z);
blitz::Array<double,3>* res_ = PyBlitzArrayCxx_AsBlitz<double,3>(res);
for (int k=0; k<z_->extent(0); ++k)
for (int l=0; l<z_->extent(1); ++l)
for (int m=0; m<z_->extent(2); ++m)
res_->operator()(k,l,m) = function(z_->operator()(k,l,m));
return 1;
}
else if (array->ndim == 4) {
blitz::Array<double,4>* z_ = PyBlitzArrayCxx_AsBlitz<double,4>(z);
blitz::Array<double,4>* res_ = PyBlitzArrayCxx_AsBlitz<double,4>(res);
for (int k=0; k<z_->extent(0); ++k)
for (int l=0; l<z_->extent(1); ++l)
for (int m=0; m<z_->extent(2); ++m)
for (int n=0; n<z_->extent(3); ++n)
res_->operator()(k,l,m,n) = function(z_->operator()(k,l,m,n));
return 1;
}
return 0;
}
static PyObject* PyBobMachineActivation_call1(PyBobMachineActivationObject* o,
PyObject* args, PyObject* kwds) {
PyObject* z = 0;
if (!PyArg_ParseTupleAndKeywords(args, kwds, "O", kwlist, &z)) return 0;
//protects acquired resources through this scope
auto z_ = make_safe(z);
if (PyBlitzArray_Check(z) || PyArray_Check(z)) {
PyBlitzArrayObject* z_converted = 0;
PyBlitzArray_Converter(z, &z_converted);
auto z_converted_ = make_safe(z_converted);
if (z_converted->type_num != NPY_FLOAT64) {
PyErr_SetString(PyExc_TypeError, "Activation function only supports 64-bit float arrays for input array `z'");
return 0;
}
if (z_converted->ndim < 1 || z_converted->ndim > 4) {
PyErr_Format(PyExc_TypeError, "Activation function only accepts 1, 2, 3 or 4-dimensional arrays (not %" PY_FORMAT_SIZE_T "dD arrays)", z_converted->ndim);
return 0;
}
// creates output array
PyObject* res = PyBlitzArray_SimpleNew(NPY_FLOAT64, z_converted->ndim,
z_converted->shape);
auto res_ = make_safe(res);
// processes the data
int ok = apply(boost::bind(&bob::machine::Activation::f, *(o->base), _1), z_converted, res);
if (!ok) {
PyErr_SetString(PyExc_RuntimeError, "unexpected error occurred applying C++ activation function to input array (DEBUG ME)");
return 0;
}
Py_INCREF(res);
return res;
}
else if (PyNumber_Check(z)) {
PyObject* z_float = PyNumber_Float(z);
auto z_float_ = make_safe(z_float);
double res_c = o->base->f(PyFloat_AsDouble(z_float);
return PyFloat_FromDouble(res_c);
}
PyErr_Format(PyExc_TypeError, "Activation function is not capable to process input objects of type `%s'", z->ob_type->tp_name);
return 0;
}
static PyObject* PyBobMachineActivation_call2(PyBobMachineActivationObject* o,
PyObject* args, PyObject* kwds) {
/* Parses input arguments in a single shot */
static const char* const_kwlist[] = {"z", "res", 0};
static char** kwlist = const_cast<char**>(const_kwlist);
PyBlitzArrayObject* z = 0;
PyBlitzArrayObject* res = 0;
if (!PyArg_ParseTupleAndKeywords(args, kwds, "O&O&", kwlist,
&PyBlitzArray_Converter, &z,
&PyBlitzArray_OutputConverter, &res
)) return 0;
//protects acquired resources through this scope
auto z_ = make_safe(z);
auto res_ = make_safe(res);
if (z->type_num != NPY_FLOAT64) {
PyErr_SetString(PyExc_TypeError, "Activation function only supports 64-bit float arrays for input array `z'");
return 0;
}
if (res->type_num != NPY_FLOAT64) {
PyErr_SetString(PyExc_TypeError, "Activation function only supports 64-bit float arrays for output array `res'");
return 0;
}
if (z->ndim < 1 || z->ndim > 4) {
PyErr_Format(PyExc_TypeError, "Activation function only accepts 1, 2, 3 or 4-dimensional arrays (not %" PY_FORMAT_SIZE_T "dD arrays)", z->ndim);
return 0;
}
if (z->ndim != res->ndim) {
PyErr_Format(PyExc_RuntimeError, "Input and output arrays should have matching number of dimensions, but input array `z' has %" PY_FORMAT_SIZE_T "d dimensions while output array `res' has %" PY_FORMAT_SIZE_T "d dimensions", z->ndim, res->ndim);
return 0;
}
for (Py_ssize_t i=0; i<z->ndim; ++i) {
if (z->shape[i] != res->shape[i]) {
PyErr_Format(PyExc_RuntimeError, "Input and output arrays should have matching sizes, but dimension %" PY_FORMAT_SIZE_T "d of input array `z' has %" PY_FORMAT_SIZE_T "d positions while output array `res' has %" PY_FORMAT_SIZE_T "d positions", z->shape[i], res->shape[i]);
return 0;
}
}
//at this point all checks are done, we can proceed into calling C++
int ok = apply(boost::bind(&bob::machine::Activation::f, *(o->base), _1), z, res);
if (!ok) {
PyErr_SetString(PyExc_RuntimeError, "unexpected error occurred applying C++ activation function to input array (DEBUG ME)");
return 0;
}
Py_INCREF(res);
return res;
}
static PyObject* PyBobMachineActivation_call(PyBobMachineActivationObject* o,
PyObject* args, PyObject* kwds) {
Py_ssize_t nargs = args?PyTuple_Size(args):0 + kwds?PyDict_Size(kwds):0;
switch (nargs) {
case 1:
return PyBobMachineActivation_call1(self, args, kwds);
break;
case 2:
return PyBobMachineActivation_call2(self, args, kwds);
break;
default:
PyErr_Format(PyExc_RuntimeError, "number of arguments mismatch - %s requires 1 or 2 arguments, but you provided %" PY_FORMAT_SIZE_T "d (see help)", s_call_str, nargs);
}
return 0;
}
static PyMethodDef PyBobMachineActivation_methods[] = {
{
s_call_str,
(PyCFunction)PyBobMachineActivation_call,
METH_VARARGS|METH_KEYWORDS,
s_call_doc
},
{0} /* Sentinel */
}
static int PyBobMachineActivation_Check(PyObject* o) {
return PyObject_IsInstance(o, reinterpret_cast<PyObject*>(&PyBobMachineActivation_Type));
}
static PyObject* PyBobMachineActivation_RichCompare (PyBobMachineActivationObject* self, PyObject* other, int op) {
if (!PyBobMachineActivation_Check(other)) {
PyErr_Format(PyExc_TypeError, "cannot compare `%s' with `%s'",
s_activation_str, other->ob_type->tp_name);
return 0;
}
PyBobMachineActivationObject* other_ = reinterpret_cast<PyBobMachineActivationObject*>(other);
switch (op) {
case Py_EQ:
if (*(self->base) == *(other_->base)) Py_RETURN_TRUE;
Py_RETURN_FALSE;
break;
case Py_NE:
if (*(self->base) != *(other_->base)) Py_RETURN_TRUE;
Py_RETURN_FALSE;
break;
default:
Py_INCREF(Py_NotImplemented);
return Py_NotImplemented;
}
}
PyTypeObject PyBobMachineActivation_Type = {
PyObject_HEAD_INIT(0)
0, /* ob_size */
s_activation_str, /* tp_name */
sizeof(PyBobMachineActivationObject), /* tp_basicsize */
0, /* tp_itemsize */
0, /* tp_dealloc */
0, /* tp_print */
0, /* tp_getattr */
0, /* tp_setattr */
0, /* tp_compare */
0, /* tp_repr */
0, /* tp_as_number */
0, /* tp_as_sequence */
0, /* tp_as_mapping */
0, /* tp_hash */
0, /* tp_call */
0, /* tp_str */
0, /* tp_getattro */
0, /* tp_setattro */
0, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags */
s_activation_doc, /* tp_doc */
0, /* tp_traverse */
0, /* tp_clear */
(richcmpfunc)PyBobMachineActivation_RichCompare, /* tp_richcompare */
0, /* tp_weaklistoffset */
0, /* tp_iter */
0, /* tp_iternext */
PyBobMachineActivation_methods, /* tp_methods */
0, /* tp_members */
0, /* tp_getset */
0, /* tp_base */
0, /* tp_dict */
0, /* tp_descr_get */
0, /* tp_descr_set */
0, /* tp_dictoffset */
(initproc)PyBobMachineActivation_init, /* tp_init */
0, /* tp_alloc */
0, /* tp_new */
};
/**
.def("__call__", &activation_f_ndarray_1, (arg("self"), arg("z"), arg("res")), "Computes the activated value, given an input array ``z``, placing results in ``res`` (and returning it)")
.def("__call__", &activation_f_ndarray_2, (arg("self"), arg("z")), "Computes the activated value, given an input array ``z``. Returns a newly allocated array with the same size as ``z``")
.def("__call__", &bob::machine::Activation::f, (arg("self"), arg("z")), "Computes the activated value, given an input ``z``")
.def("f_prime", &activation_f_prime_ndarray_1, (arg("self"), arg("z"), arg("res")), "Computes the derivative of the activated value, placing results in ``res`` (and returning it)")
.def("f_prime", &activation_f_prime_ndarray_2, (arg("self"), arg("z")), "Computes the derivative of the activated value, given an input array ``z``. Returns a newly allocated array with the same size as ``z``")
.def("f_prime", &bob::machine::Activation::f_prime, (arg("self"), arg("z")), "Computes the derivative of the activated value.")
.def("f_prime_from_f", &activation_f_prime_from_f_ndarray_1, (arg("self"), arg("a"), arg("res")), "Computes the derivative of the activated value, given **the activated value** ``a``, placing results in ``res`` (and returning it)")
.def("f_prime_from_f", &activation_f_prime_from_f_ndarray_2, (arg("self"), arg("z")), "Computes the derivative of the activated value, given **the activated value** ``a``. Returns a newly allocated array with the same size as ``a`` with the answer.")
.def("f_prime_from_f", &bob::machine::Activation::f_prime_from_f, (arg("self"), arg("a")), "Computes the derivative of the activation value, given **the activated value** ``a``.")
.def("save", &bob::machine::Activation::save, (arg("self"), arg("h5f")),
"Saves itself to a :py:class:`bob.io.HDF5File`")
.def("load", &bob::machine::Activation::load, (arg("self"), arg("h5f")),
"Loads itself from a :py:class:`bob.io.HDF5File`")
.def("unique_identifier",
&bob::machine::Activation::unique_identifier, (arg("self")),
"Returns a unique identifier, used by this class in connection to the Activation registry.")
.def("__str__", &bob::machine::Activation::str)
**/
...@@ -36,7 +36,7 @@ typedef struct { ...@@ -36,7 +36,7 @@ typedef struct {
PyObject_HEAD PyObject_HEAD
/* Type-specific fields go here. */ /* Type-specific fields go here. */
boost::shared_ptr<bob::machine::Activation> o; bob::machine::Activation* base;
} PyBobMachineActivation; } PyBobMachineActivation;
......
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