#include <algorithm>
#include <cmath>
#include <iostream>
#include <string>
#include <vector>
#include "example_utils.hpp"
using tag = memory::format_tag;
using dt = memory::data_type;
const memory::dim N = 3,
IC = 1000;
memory::dims src_dims = {N, IC};
std::vector<float> src_data(product(src_dims));
std::generate(src_data.begin(), src_data.end(), []() {
static int i = 0;
return std::cos(i++ / 10.f);
});
auto src_md = memory::desc(src_dims, dt::f32, tag::nc);
write_to_dnnl_memory(src_data.data(), src_mem);
const int axis = 1;
= softmax_forward::desc(prop_kind::forward_training,
src_md, axis);
auto softmax_prim = softmax_forward(softmax_pd);
std::unordered_map<int, memory> softmax_args;
softmax_prim.execute(engine_stream, softmax_args);
read_from_dnnl_memory(src_data.data(), src_mem);
}
int main(int argc, char **argv) {
return handle_example_errors(
softmax_example, parse_engine_kind(argc, argv));
}
#define DNNL_ARG_DST
A special mnemonic for destination argument for primitives that have a single destination.
Definition: dnnl_types.h:2307
#define DNNL_ARG_SRC
A special mnemonic for source argument for primitives that have a single source.
Definition: dnnl_types.h:2283
@ softmax_d
softmax descriptor
@ src_md
source memory desc
oneDNN namespace
Definition: dnnl.hpp:74
An execution engine.
Definition: dnnl.hpp:869
kind
Kinds of engines.
Definition: dnnl.hpp:874
An execution stream.
Definition: dnnl.hpp:985
stream & wait()
Waits for all primitives executing in the stream to finish.
Definition: dnnl.hpp:1025