#include <stdio.h>
#include <vector>
#include <string>
#include <math.h>
#include "mnist_common.h"
float accuracy(
const array& predicted,
const array& target)
{
return 100 * count<float>(predicted == target) / target.
elements();
}
{
const int feat_len = train.
dims(1);
const int num_train = train.
dims(0);
const int num_test = test.
dims(0);
array dist = constant(0, num_train, num_test);
for (int ii = 0; ii < feat_len; ii++) {
array train_i = train(span, ii);
array test_i = test (span, ii).
T();
array train_tiled = tile(train_i, 1, num_test);
array test_tiled = tile( test_i, num_train, 1 );
dist = dist + abs(train_tiled - test_tiled);
}
return dist;
}
{
array dist = distance(train_feats, test_feats);
return train_labels(idx);
}
void knn_demo(bool console, int perc)
{
array train_images, train_labels;
array test_images, test_labels;
int num_train, num_test, num_classes;
float frac = (float)(perc) / 100.0;
setup_mnist<false>(&num_classes, &num_train, &num_test,
train_images, test_images,
train_labels, test_labels, frac);
int feature_length = train_images.
elements() / num_train;
array train_feats =
moddims(train_images, feature_length, num_train).
T();
array test_feats =
moddims(test_images , feature_length, num_test ).
T();
timer::start();
array res_labels = knn(train_feats, test_feats, train_labels);
double test_time = timer::stop();
printf("Accuracy on testing data: %2.2f\n",
accuracy(res_labels , test_labels));
printf("Prediction time: %4.4f\n", test_time);
if (!console) {
display_results<false>(test_images, res_labels, test_labels, 20);
}
}
int main(int argc, char** argv)
{
int device = argc > 1 ? atoi(argv[1]) : 0;
bool console = argc > 2 ? argv[2][0] == '-' : false;
int perc = argc > 3 ? atoi(argv[3]) : 60;
try {
knn_demo(console, perc);
std::cerr << ae.
what() << std::endl;
}
return 0;
}
A multi dimensional data container.
Definition array.h:27
Definition exception.h:20
virtual const char * what() const
Definition exception.h:34
AFAPI void setDevice(const int device)
Sets the current device.
AFAPI array moddims(const array &in, const unsigned ndims, const dim_t *const dims)
dim4 dims() const
Get dimensions of the array.
void eval() const
Evaluate any JIT expressions to generate data for the array.
array T() const
Get the transposed the array.
dim_t elements() const
get the number of elements in array
AFAPI array min(const array &in, const int dim=-1)
C++ Interface for minimum values in an array.
Definition algorithm.h:15