#include <algorithm>
#include <cmath>
#include <iostream>
#include <string>
#include <vector>
#include "example_utils.hpp"
IC = 72,
IH = 227,
IW = 227;
std::vector<float> src_data(product(src_dims));
std::vector<float> dst_data(product(src_dims));
std::generate(src_data.begin(), src_data.end(), []() {
static int i = 0;
return std::cos(i++ / 10.f);
});
const int shuffle_axis = 1;
const int group_size = 4;
auto src_md = memory::desc(src_dims, dt::f32, tag::nchw);
auto dst_mem = memory({src_dims, dt::f32, tag::abcd},
engine);
write_to_dnnl_memory(src_data.data(), src_mem);
auto shuffle_prim = shuffle_forward(shuffle_pd);
std::unordered_map<int, memory> shuffle_args;
shuffle_prim.execute(engine_stream, shuffle_args);
read_from_dnnl_memory(dst_data.data(), dst_mem);
}
int main(int argc, char **argv) {
return handle_example_errors(
shuffle_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:2307
#define DNNL_ARG_SRC
A special mnemonic for source argument for primitives that have a single source.
Definition: dnnl_types.h:2283
@ shuffle_d
shuffle 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
dnnl_dim_t dim
Integer type for representing dimension sizes and indices.
Definition: dnnl.hpp:1112
format_tag
Memory format tag specification.
Definition: dnnl.hpp:1205
data_type
Data type specification.
Definition: dnnl.hpp:1130
std::vector< dim > dims
Vector of dimensions.
Definition: dnnl.hpp:1115
An execution stream.
Definition: dnnl.hpp:985
stream & wait()
Waits for all primitives executing in the stream to finish.
Definition: dnnl.hpp:1025