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/*******************************************************************************
* Copyright 2016-2018 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/
#include "mkldnn_test_common.hpp"
#include "gtest/gtest.h"
#include "mkldnn.hpp"
namespace mkldnn {
struct sum_test_params {
const engine::kind engine_kind;
std::vector<memory::format> srcs_format;
memory::format dst_format;
memory::dims dims;
std::vector<float> scale;
bool expect_to_fail;
mkldnn_status_t expected_status;
};
template <typename data_t, typename acc_t>
class sum_test: public ::testing::TestWithParam<sum_test_params> {
void check_data(const std::vector<memory> &srcs,
const std::vector<float> scale,
const memory &dst)
{
const data_t *dst_data = (const data_t *)dst.get_data_handle();
const auto &dst_d = dst.get_primitive_desc().desc();
const auto dst_dims = dst_d.data.dims;
mkldnn::impl::parallel_nd(dst_dims[0], dst_dims[1], dst_dims[2], dst_dims[3],
[&](int n, int c, int h, int w) {
acc_t src_sum = 0.0;
for (size_t num = 0; num < srcs.size(); num++) {
const data_t *src_data =
(const data_t *)srcs[num].get_data_handle();
const auto &src_d = srcs[num].get_primitive_desc().desc();
const auto src_dims = src_d.data.dims;
auto src_idx = w
+ src_dims[3]*h
+ src_dims[2]*src_dims[3]*c
+ src_dims[1]*src_dims[2]*src_dims[3]*n;
if (num == 0) {
src_sum = data_t(scale[num]) * src_data[map_index(src_d, src_idx)];
} else {
src_sum += data_t(scale[num])* src_data[map_index(src_d, src_idx)];
}
src_sum = std::max(std::min(src_sum,
std::numeric_limits<acc_t>::max()),
std::numeric_limits<acc_t>::lowest());
}
auto dst_idx = w
+ dst_dims[3]*h
+ dst_dims[2]*dst_dims[3]*c
+ dst_dims[1]*dst_dims[2]*dst_dims[3]*n;
auto diff = src_sum - dst_data[map_index(dst_d, dst_idx)];
auto e = (std::abs(src_sum) > 1e-4) ? diff / src_sum : diff;
EXPECT_NEAR(e, 0.0, 1.2e-7);
}
);
}
protected:
virtual void SetUp() {
sum_test_params p
= ::testing::TestWithParam<sum_test_params>::GetParam();
catch_expected_failures([=](){Test();}, p.expect_to_fail,
p.expected_status);
}
void Test() {
sum_test_params p
= ::testing::TestWithParam<sum_test_params>::GetParam();
ASSERT_EQ(p.srcs_format.size(), p.scale.size());
const auto num_srcs = p.srcs_format.size();
ASSERT_TRUE(p.engine_kind == engine::kind::cpu);
auto eng = engine(p.engine_kind, 0);
memory::data_type data_type = data_traits<data_t>::data_type;
std::vector<memory::primitive_desc> srcs_pd;
std::vector<memory> srcs;
for (size_t i = 0; i < num_srcs; i++) {
auto desc =
memory::desc(p.dims, data_type, p.srcs_format[i]);
auto mpd = memory::primitive_desc(desc, eng);
auto src_memory = memory(mpd);
const size_t sz =
src_memory.get_primitive_desc().get_size() / sizeof(data_t);
fill_data<data_t>(sz, (data_t *)src_memory.get_data_handle());
srcs_pd.push_back(mpd);
srcs.push_back(src_memory);
}
std::shared_ptr<memory> dst;
auto dst_desc = memory::desc(p.dims, data_type, p.dst_format);
auto sum_pd = sum::primitive_desc(dst_desc, p.scale, srcs_pd);
dst.reset(new memory(sum_pd.dst_primitive_desc()));
ASSERT_EQ(sum_pd.dst_primitive_desc().desc().data.format,
dst_desc.data.format);
ASSERT_EQ(sum_pd.dst_primitive_desc().desc().data.ndims,
dst_desc.data.ndims);
data_t *dst_data = (data_t *)dst->get_data_handle();
const size_t sz =
dst->get_primitive_desc().get_size() / sizeof(data_t);
// overwriting dst to prevent false positives for test cases.
mkldnn::impl::parallel_nd((ptrdiff_t)sz,
[&](ptrdiff_t i) { dst_data[i] = -32; }
);
std::vector<primitive::at> inputs;
for (size_t i = 0; i < num_srcs; i++) {
inputs.push_back(srcs[i]);
}
auto c = sum(sum_pd, inputs, *dst);
std::vector<primitive> pipeline;
pipeline.push_back(c);
auto s = stream(stream::kind::eager);
s.submit(pipeline).wait();
check_data(srcs, p.scale, *dst);
}
};
/* corner cases */
#define CASE_CC(ifmt0, ifmt1, ofmt, dims_, ef, st) \
sum_test_params{engine::kind::cpu, \
{memory::format::ifmt0, memory::format::ifmt1}, memory::format::ofmt, \
memory::dims dims_, {1.0f, 1.0f}, ef, st}
#define INST_TEST_CASE(test) \
TEST_P(test, TestsSum) {} \
INSTANTIATE_TEST_CASE_P(TestSum, test, ::testing::Values( \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nChw8c}, memory::format::nchw, \
{0, 7, 4, 4}, {1.0f, 1.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nChw8c}, memory::format::nchw, \
{1, 0, 4, 4}, {1.0f, 1.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nChw8c}, memory::format::nchw, \
{1, 8, 0, 4}, {1.0f, 1.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nChw8c}, memory::format::nchw, \
{-1, 8, 4, 4}, {1.0f, 1.0f}, true, mkldnn_invalid_arguments}, \
\
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nChw8c}, memory::format::nchw, \
{1, 1024, 38, 50}, {1.0f, 1.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nchw}, memory::format::nchw, \
{2, 8, 2, 2}, {1.0f, 1.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nChw8c, memory::format::nChw8c}, memory::format::nChw8c, \
{2, 16, 3, 4}, {1.0f, 1.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nchw}, memory::format::nChw8c, \
{2, 16, 2, 2}, {1.0f, 1.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nChw8c, memory::format::nChw8c}, memory::format::nchw, \
{2, 16, 3, 4}, {1.0f, 1.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nchw}, memory::format::nchw, \
{2, 8, 2, 2}, {2.0f, 3.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nChw8c, memory::format::nChw8c}, memory::format::nChw8c,\
{2, 16, 3, 4}, {2.0f, 3.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nchw}, memory::format::nChw8c, \
{2, 16, 2, 2}, {2.0f, 3.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nChw8c, memory::format::nChw8c}, memory::format::nchw, \
{2, 16, 3, 4}, {2.0f, 3.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nChw8c}, memory::format::nchw, \
{5, 8, 3, 3}, {2.0f, 3.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nchw, memory::format::nChw8c}, memory::format::nchw, \
{32, 32, 13, 14}, {2.0f, 3.0f}}, \
sum_test_params{engine::kind::cpu, \
{memory::format::nChw16c, memory::format::nChw8c}, \
memory::format::nChw16c, \
{2, 16, 3, 3}, {2.0f, 3.0f}} \
));
using sum_test_float = sum_test<float,float>;
using sum_test_u8 = sum_test<uint8_t,float>;
using sum_test_s32 = sum_test<int32_t,float>;
using sum_cc_f32 = sum_test<float,float>;
TEST_P(sum_cc_f32, TestSumCornerCases) {}
INSTANTIATE_TEST_CASE_P(TestSumCornerCases, sum_cc_f32, ::testing::Values(
CASE_CC(nchw, nChw8c, nchw, ({0, 7, 4, 4}), false, mkldnn_success),
CASE_CC(nchw, nChw8c, nchw, ({1, 0, 4, 4}), false, mkldnn_success),
CASE_CC(nchw, nChw8c, nchw, ({1, 8, 0, 4}), false, mkldnn_success),
CASE_CC(nchw, nChw8c, nchw, ({-1, 8, 4, 4}), true, mkldnn_invalid_arguments)
));
#undef CASE_CC
INST_TEST_CASE(sum_test_float)
INST_TEST_CASE(sum_test_u8)
INST_TEST_CASE(sum_test_s32)
#undef INST_TEST_CASE
}
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