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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 test_inner_product_descr_t {
int mb;
int ic;
int oc;
int kd, kh, kw;
};
template <typename data_t>
void compute_ref_inner_product_bwd_data(int ndims,
const test_inner_product_descr_t &ipd, const memory &diff_dst,
const memory &weights, const memory &diff_src)
{
data_t *diff_dst_data = (data_t *)diff_dst.get_data_handle();
data_t *weights_data = (data_t *)weights.get_data_handle();
data_t *diff_src_data = (data_t *)diff_src.get_data_handle();
const memory::desc diff_dst_d = diff_dst.get_primitive_desc().desc();
const memory::desc weights_d = weights.get_primitive_desc().desc();
const memory::desc diff_src_d = diff_src.get_primitive_desc().desc();
bool has_spatial = ipd.kh > 1 || ipd.kw > 1;
if (ndims == 5) has_spatial = has_spatial || ipd.kd > 1;
const int padded_ic = diff_src_d.data.layout_desc.blocking.padding_dims[1];
#pragma omp parallel for collapse(2) schedule(static)
for (int n = 0; n < ipd.mb; n++) {
for (int ic = 0; ic < ipd.ic; ic++) {
if (has_spatial) {
for (int kd = 0; kd < ipd.kd; ++kd)
for (int kh = 0; kh < ipd.kh; ++kh)
for (int kw = 0; kw < ipd.kw; ++kw) {
int dsidx = n * padded_ic * ipd.kd * ipd.kh * ipd.kw
+ ic * ipd.kd * ipd.kh * ipd.kw
+ kd * ipd.kh * ipd.kw + kh * ipd.kw + kw;
data_t *ds = &diff_src_data[map_index(diff_src_d, dsidx)];
*ds = data_t(0);
for (int oc = 0; oc < ipd.oc; ++oc) {
int ddidx = n * ipd.oc + oc;
int widx = oc * padded_ic * ipd.kd * ipd.kh * ipd.kw
+ ic * ipd.kd * ipd.kh * ipd.kw
+ kd * ipd.kh * ipd.kw + kh * ipd.kw + kw;
*ds += diff_dst_data[map_index(diff_dst_d, ddidx)]
* weights_data[map_index(weights_d, widx)];
}
}
} else {
int dsidx = n * ipd.ic + ic;
data_t *ds = &diff_src_data[map_index(diff_src_d, dsidx)];
*ds = data_t(0);
for (int oc = 0; oc < ipd.oc; ++oc) {
int ddidx = n * ipd.oc + oc;
int widx = oc * ipd.ic + ic;
*ds += diff_dst_data[map_index(diff_dst_d, ddidx)]
* weights_data[map_index(weights_d, widx)];
}
}
}
}
}
struct inprod_test_params {
const engine::kind engine_kind;
memory::format diff_src_format;
memory::format weights_format;
memory::format diff_dst_format;
int ndims;
test_inner_product_descr_t test_ipd;
bool expect_to_fail;
mkldnn_status_t expected_status;
};
template <typename data_t>
class inner_product_test_bwd_data : public ::testing::TestWithParam<inprod_test_params> {
protected:
virtual void SetUp() {
auto p = ::testing::TestWithParam<inprod_test_params>::GetParam();
catch_expected_failures([=](){Test();}, p.expect_to_fail,
p.expected_status);
}
void Test() {
auto p = ::testing::TestWithParam<inprod_test_params>::GetParam();
test_inner_product_descr_t ipd = p.test_ipd;
bool has_spatial = ipd.kh > 1 || ipd.kw > 1;
if (p.ndims == 5) has_spatial = has_spatial || ipd.kd > 1;
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;
ASSERT_EQ(data_type, mkldnn::memory::data_type::f32);
std::shared_ptr<memory> ip_diff_src, ip_diff_dst, ip_weights, diff_src_ref;
auto ip_diff_src_desc = has_spatial ? p.ndims == 5
? create_md({ ipd.mb, ipd.ic, ipd.kd, ipd.kh, ipd.kw },
data_type, p.diff_src_format)
: create_md({ ipd.mb, ipd.ic, ipd.kh, ipd.kw }, data_type,
p.diff_src_format) :
create_md({ ipd.mb, ipd.ic }, data_type, p.diff_src_format);
auto ip_weights_desc = has_spatial ? p.ndims == 5
? create_md({ ipd.oc, ipd.ic, ipd.kd, ipd.kh, ipd.kw },
data_type, p.weights_format)
: create_md({ ipd.oc, ipd.ic, ipd.kh, ipd.kw }, data_type,
p.weights_format) :
create_md({ ipd.oc, ipd.ic }, data_type, p.weights_format);
auto ip_diff_dst_desc =
create_md({ ipd.mb, ipd.oc }, data_type,p.diff_dst_format);
// Create inner product forward (hint for backward)
auto ip_fwd_desc = inner_product_forward::desc(prop_kind::forward,
ip_diff_src_desc, ip_weights_desc, ip_diff_dst_desc);
auto ip_fwd_pdesc = inner_product_forward::primitive_desc
(ip_fwd_desc, eng);
// Create inner product backward
auto ip_desc = inner_product_backward_data::desc(ip_diff_src_desc,
ip_weights_desc, ip_diff_dst_desc);
auto ip_primitive_desc = inner_product_backward_data::primitive_desc(
ip_desc, eng, ip_fwd_pdesc);
ip_diff_src.reset(
new memory(ip_primitive_desc.diff_src_primitive_desc()));
ip_weights.reset(
new memory(ip_primitive_desc.weights_primitive_desc()));
ip_diff_dst.reset(
new memory(ip_primitive_desc.diff_dst_primitive_desc()));
diff_src_ref.reset(
new memory(ip_primitive_desc.diff_src_primitive_desc()));
fill_data<data_t>(
ip_diff_dst->get_primitive_desc().get_size() / sizeof(data_t),
(data_t *)ip_diff_dst->get_data_handle());
fill_data<data_t>(
ip_weights->get_primitive_desc().get_size() / sizeof(data_t),
(data_t *)ip_weights->get_data_handle());
fill_data<data_t>(
ip_diff_src->get_primitive_desc().get_size() / sizeof(data_t),
(data_t *)ip_diff_src->get_data_handle());
check_zero_tail<data_t>(1,*ip_diff_dst);
check_zero_tail<data_t>(1,*ip_weights);
auto ip = inner_product_backward_data(ip_primitive_desc,
*ip_diff_dst, *ip_weights, *ip_diff_src);
std::vector<primitive> pipeline;
pipeline.push_back(ip);
stream(stream::kind::lazy).submit(pipeline).wait();
compute_ref_inner_product_bwd_data<data_t>(p.ndims == 5, ipd, *ip_diff_dst,
*ip_weights, *diff_src_ref);
check_zero_tail<data_t>(1,*diff_src_ref);
compare_data<data_t>(*diff_src_ref, *ip_diff_src);
check_zero_tail<data_t>(0,*ip_diff_src);
}
};
using inner_product_test_float = inner_product_test_bwd_data<float>;
using inprod_test_params_float = inprod_test_params;
#define EXPAND_SIZES_3D(...) 5, { __VA_ARGS__ }
#define EXPAND_SIZES_2D(mb,ic,oc,kh,kw) \
4, { mb,ic,oc,1,kh,kw }
TEST_P(inner_product_test_float, TestsInnerProduct)
{
}
INSTANTIATE_TEST_CASE_P(
TestInnerProductBackwardData_padded, inner_product_test_float,
::testing::Values(
inprod_test_params_float{ engine::kind::cpu,
memory::format::nChw16c, memory::format::oIhw16i,
memory::format::nc,
EXPAND_SIZES_2D( 2, 9, 4, 2, 2 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::nChw16c, memory::format::oIhw16i,
memory::format::nc,
EXPAND_SIZES_2D( 2, 17, 16, 2, 2 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::nChw16c, memory::format::oIhw16i,
memory::format::nc,
EXPAND_SIZES_2D( 2, 29, 7, 2, 2 ) }));
INSTANTIATE_TEST_CASE_P(
TestInnerProductBackwardDataEF, inner_product_test_float,
::testing::Values(
inprod_test_params_float{ engine::kind::cpu,
memory::format::any, memory::format::any,
memory::format::any,
EXPAND_SIZES_2D( 0, 32, 48, 6, 6 ),
true, mkldnn_invalid_arguments},
inprod_test_params_float{ engine::kind::cpu,
memory::format::any, memory::format::any,
memory::format::any,
EXPAND_SIZES_2D( 2, 0, 48, 6, 6 ),
true, mkldnn_invalid_arguments}));
INSTANTIATE_TEST_CASE_P(
TestInnerProductBackwardData, inner_product_test_float,
::testing::Values(
inprod_test_params_float{ engine::kind::cpu,
memory::format::any, memory::format::any,
memory::format::any,
EXPAND_SIZES_2D( 2, 32, 48, 6, 6 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::any, memory::format::any,
memory::format::any,
EXPAND_SIZES_2D( 2, 1024, 48, 2, 2 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::nchw, memory::format::oihw,
memory::format::nc,
EXPAND_SIZES_2D( 2, 32, 48, 6, 6 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::nChw8c, memory::format::oIhw8i,
memory::format::nc,
EXPAND_SIZES_2D( 2, 32, 48, 6, 6 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::nChw16c, memory::format::oIhw16i,
memory::format::nc,
EXPAND_SIZES_2D( 2, 32, 48, 6, 6 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::nc, memory::format::oi,
memory::format::nc,
EXPAND_SIZES_2D( 2, 32, 1152, 1, 1 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::nc, memory::format::oi,
memory::format::nc,
EXPAND_SIZES_2D( 2, 2, 4, 1, 1 ) }));
INSTANTIATE_TEST_CASE_P(
TestInnerProductBackwardData3D, inner_product_test_float,
::testing::Values(
inprod_test_params_float{ engine::kind::cpu,
memory::format::any, memory::format::any,
memory::format::any,
EXPAND_SIZES_3D( 2, 32, 48, 6, 6, 6 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::any, memory::format::any,
memory::format::any,
EXPAND_SIZES_3D( 2, 1024, 48, 2, 2, 2 ) },
inprod_test_params_float{ engine::kind::cpu,
memory::format::ncdhw, memory::format::oidhw,
memory::format::nc,
EXPAND_SIZES_3D( 2, 32, 48, 6, 6, 6 ) }));
}
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