#include <algorithm>
#include <cmath>
#include <iostream>
#include <string>
#include <vector>
#include "example_utils.hpp"
IC = 1000;
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);
auto src_mem = memory(src_md, engine);
write_to_dnnl_memory(src_data.data(), src_mem);
const int axis = 1;
auto logsoftmax_pd
= logsoftmax_forward::primitive_desc(logsoftmax_d, engine);
auto logsoftmax_prim = logsoftmax_forward(logsoftmax_pd);
std::unordered_map<int, memory> logsoftmax_args;
logsoftmax_prim.execute(engine_stream, logsoftmax_args);
engine_stream.wait();
read_from_dnnl_memory(src_data.data(), src_mem);
}
int main(int argc, char **argv) {
return handle_example_errors(
logsoftmax_example, parse_engine_kind(argc, argv));
}
@ forward_training
Forward data propagation (training mode).
#define DNNL_ARG_DST
A special mnemonic for destination argument for primitives that have a single destination.
Definition: dnnl_types.h:2376
#define DNNL_ARG_SRC
A special mnemonic for source argument for primitives that have a single source.
Definition: dnnl_types.h:2352
@ logsoftmax_d
logsoftmax descriptor
@ src_md
source memory desc
oneDNN namespace
Definition: dnnl.hpp:74
An execution engine.
Definition: dnnl.hpp:885
kind
Kinds of engines.
Definition: dnnl.hpp:890
dnnl_dim_t dim
Integer type for representing dimension sizes and indices.
Definition: dnnl.hpp:1128
format_tag
Memory format tag specification.
Definition: dnnl.hpp:1227
data_type
Data type specification.
Definition: dnnl.hpp:1146
std::vector< dim > dims
Vector of dimensions.
Definition: dnnl.hpp:1131
An execution stream.
Definition: dnnl.hpp:1001