#include <algorithm>
#include <cmath>
#include <string>
#include <vector>
#include "dnnl.hpp"
#include "example_utils.hpp"
using tag = memory::format_tag;
using dt = memory::data_type;
const memory::dim N = 3,
IC = 3,
IH = 227,
IW = 227;
const memory::dims src_dims = {N, IC, IH, IW};
const memory::dims weights_dims = {N, IC, IH, IW};
const memory::dims dst_dims = {N, IC, IH, IW};
std::vector<float> src_data(product(src_dims));
std::vector<float> weights_data(product(weights_dims));
std::vector<float> dst_data(product(dst_dims));
std::generate(src_data.begin(), src_data.end(), []() {
static int i = 0;
return std::cos(i++ / 10.f);
});
std::fill(weights_data.begin(), weights_data.end(), 0.3f);
auto user_src_mem = memory({src_dims, dt::f32, tag::nchw},
engine);
auto user_weights_mem = memory({weights_dims, dt::f32, tag::nchw},
engine);
auto user_dst_mem = memory({dst_dims, dt::f32, tag::nchw},
engine);
auto src_md = memory::desc(src_dims, dt::f32, tag::nchw);
auto weights_md = memory::desc(weights_dims, dt::f32, tag::any);
write_to_dnnl_memory(src_data.data(), user_src_mem);
write_to_dnnl_memory(weights_data.data(), user_weights_mem);
auto prelu_d = prelu_forward::desc(
prop_kind::forward_training, src_md, weights_md);
auto prelu_pd = prelu_forward::primitive_desc(prelu_d, engine);
auto prelu_weights_mem = user_weights_mem;
if (prelu_pd.weights_desc() != user_weights_mem.get_desc()) {
prelu_weights_mem = memory(prelu_pd.weights_desc(), engine);
reorder(user_weights_mem, prelu_weights_mem)
.execute(engine_stream, user_weights_mem, prelu_weights_mem);
}
auto prelu_prim = prelu_forward(prelu_pd);
std::unordered_map<int, memory> prelu_args;
prelu_prim.execute(engine_stream, prelu_args);
engine_stream.wait();
read_from_dnnl_memory(dst_data.data(), user_dst_mem);
}
int main(int argc, char **argv) {
return handle_example_errors(prelu_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
#define DNNL_ARG_WEIGHTS
A special mnemonic for primitives that have a single weights argument.
Definition: dnnl_types.h:2330
@ weights_md
weights memory descriptor desc
@ 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