#include <algorithm>
#include <cmath>
#include <iostream>
#include <string>
#include <vector>
#include "example_utils.hpp"
IC = 3,
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 num_src = 10;
std::vector<float> scales(num_src);
std::generate(
scales.begin(), scales.end(), [](int n = 0) { return sin(n); });
std::vector<memory::desc>
src_md;
std::vector<memory> src_mem;
for (int n = 0; n < num_src; ++n) {
auto md = memory::desc(src_dims, dt::f32, tag::nchw);
auto mem = memory(md,
engine);
write_to_dnnl_memory(src_data.data(), mem);
src_mem.push_back(mem);
}
auto sum_prim = sum(sum_pd);
auto dst_mem = memory(sum_pd.dst_desc(),
engine);
std::unordered_map<int, memory> sum_args;
for (int n = 0; n < num_src; ++n) {
}
sum_prim.execute(engine_stream, sum_args);
read_from_dnnl_memory(dst_data.data(), dst_mem);
}
int main(int argc, char **argv) {
return handle_example_errors(sum_example, parse_engine_kind(argc, argv));
}
#define DNNL_ARG_MULTIPLE_SRC
Starting index for source arguments for primitives that take a variable number of source arguments.
Definition: dnnl_types.h:2450
#define DNNL_ARG_DST
A special mnemonic for destination argument for primitives that have a single destination.
Definition: dnnl_types.h:2307
@ 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