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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/06/25 20:15:47 UTC
[GitHub] azai91 closed pull request #11328: [MXNET-549] MKLDNNSum can handle
variable number of inputs
azai91 closed pull request #11328: [MXNET-549] MKLDNNSum can handle variable number of inputs
URL: https://github.com/apache/incubator-mxnet/pull/11328
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign pull request (from a fork), the diff is supplied
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diff --git a/src/operator/nn/mkldnn/mkldnn_base.cc b/src/operator/nn/mkldnn/mkldnn_base.cc
index b182aa0b68d..a05a3218911 100644
--- a/src/operator/nn/mkldnn/mkldnn_base.cc
+++ b/src/operator/nn/mkldnn/mkldnn_base.cc
@@ -146,7 +146,8 @@ void CommitOutput(const NDArray &arr, const mkldnn_output_t &res) {
// We have to allocate new memory for the sum result.
auto sum_res = TmpMemMgr::Get()->Alloc(
res.second->get_primitive_desc());
- op::MKLDNNSum(*res.second, *mem, *sum_res);
+ std::vector<mkldnn::memory> in_mems = {*res.second, *mem};
+ op::MKLDNNSum(in_mems, *sum_res);
const_cast<NDArray &>(arr).CopyFrom(*sum_res);
}
}
diff --git a/src/operator/nn/mkldnn/mkldnn_copy.cc b/src/operator/nn/mkldnn/mkldnn_copy.cc
index 75e51aff006..d6a12f01610 100644
--- a/src/operator/nn/mkldnn/mkldnn_copy.cc
+++ b/src/operator/nn/mkldnn/mkldnn_copy.cc
@@ -50,7 +50,8 @@ void MKLDNNCopy(const nnvm::NodeAttrs& attrs, const OpContext &ctx,
if (out_mem == nullptr)
out_mem = out_data.GetMKLDNNData();
auto sum_res = TmpMemMgr::Get()->Alloc(out_mem->get_primitive_desc());
- MKLDNNSum(*in_mem, *out_mem, *sum_res);
+ std::vector<mkldnn::memory> in_mems = {in_mem, out_mem};
+ MKLDNNSum(in_mems, *sum_res);
const_cast<NDArray &>(out_data).CopyFrom(*sum_res);
} else {
const_cast<NDArray &>(out_data).CopyFrom(*in_mem);
diff --git a/src/operator/nn/mkldnn/mkldnn_ops-inl.h b/src/operator/nn/mkldnn/mkldnn_ops-inl.h
index 50937706d93..850fc509d23 100644
--- a/src/operator/nn/mkldnn/mkldnn_ops-inl.h
+++ b/src/operator/nn/mkldnn/mkldnn_ops-inl.h
@@ -104,8 +104,8 @@ void MKLDNNActivationBackward(const nnvm::NodeAttrs& attrs, const OpContext &ctx
const NDArray &out_grad, const NDArray &in_data,
const OpReqType &req, const NDArray &in_grad);
-void MKLDNNSum(const mkldnn::memory &arr1, const mkldnn::memory &arr2,
- const mkldnn::memory &out);
+void MKLDNNSum(std::vector<mkldnn::memory> &in_mems,
+ const mkldnn::memory &out);
} // namespace op
} // namespace mxnet
diff --git a/src/operator/nn/mkldnn/mkldnn_sum.cc b/src/operator/nn/mkldnn/mkldnn_sum.cc
index c51e1081d69..00f2a323510 100644
--- a/src/operator/nn/mkldnn/mkldnn_sum.cc
+++ b/src/operator/nn/mkldnn/mkldnn_sum.cc
@@ -23,6 +23,7 @@
* \author Da Zheng
*/
#include <iostream>
+#include <vector>
#include "./mkldnn_ops-inl.h"
#include "./mkldnn_base-inl.h"
@@ -31,16 +32,16 @@
namespace mxnet {
namespace op {
-void MKLDNNSum(const mkldnn::memory &arr1, const mkldnn::memory &arr2,
+void MKLDNNSum(std::vector<mkldnn::memory> &in_mems,
const mkldnn::memory &out) {
- std::vector<mkldnn::memory::primitive_desc> input_pds(2);
- std::vector<float> scales(2, 1);
+ std::vector<mkldnn::memory::primitive_desc> input_pds(in_mems.size());
+ std::vector<float> scales(in_mems.size(), 1);
std::vector<mkldnn::primitive::at> inputs;
- input_pds[0] = arr1.get_primitive_desc();
- input_pds[1] = arr2.get_primitive_desc();
- CHECK(input_pds[0] == input_pds[1]);
- inputs.push_back(arr1);
- inputs.push_back(arr2);
+ for (int i = 0; i < in_mems.size(); i++) {
+ input_pds[i] = in_mems[i].get_primitive_desc();
+ inputs.push_back(in_mems[i]);
+ if (i > 0) CHECK(input_pds[i] == input_pds[i-1]);
+ }
// TODO(zhengda) I need to reorder memory here.
mkldnn::sum::primitive_desc sum_pd(scales, input_pds);
MKLDNNStream::Get()->RegisterPrim(mkldnn::sum(sum_pd, inputs, out));
@@ -54,7 +55,7 @@ void MKLDNNSumForward(const nnvm::NodeAttrs& attrs, const OpContext &ctx,
}
TmpMemMgr::Get()->Init(ctx.requested[0]);
- std::vector<mkldnn::primitive::at> in_prims;
+ std::vector<mkldnn::memory> in_prims;
std::vector<mkldnn::memory::primitive_desc> in_pds(inputs.size());
std::vector<float> scales(inputs.size(), 1);
in_prims.reserve(inputs.size());
@@ -70,11 +71,10 @@ void MKLDNNSumForward(const nnvm::NodeAttrs& attrs, const OpContext &ctx,
in_prims.push_back(*in_mem);
in_pds[i] = in_mem->get_primitive_desc();
}
-
mkldnn::sum::primitive_desc pdesc(scales, in_pds);
auto mem = CreateMKLDNNMem(out_data, pdesc.dst_primitive_desc(), req, &inputs[0]);
MKLDNNStream *stream = MKLDNNStream::Get();
- stream->RegisterPrim(mkldnn::sum(pdesc, in_prims, *mem.second));
+ MKLDNNSum(in_prims, *mem.second);
CommitOutput(out_data, mem);
stream->Submit();
}
diff --git a/tests/cpp/operator/mkldnn.cc b/tests/cpp/operator/mkldnn.cc
index 82fee67b114..45c03d61e62 100644
--- a/tests/cpp/operator/mkldnn.cc
+++ b/tests/cpp/operator/mkldnn.cc
@@ -799,7 +799,8 @@ TEST(MKLDNN_BASE, MKLDNNSum) {
if (out_mem == nullptr)
continue;
PrintVerifyMsg(in_arr, in_arr);
- op::MKLDNNSum(*in_mem1, *in_mem2, *out_mem);
+ std::vector<mkldnn::memory> in_mems = {*in_mem1, *in_mem2};
+ op::MKLDNNSum(in_mems, *out_mem);
MKLDNNStream::Get()->Submit();
VerifySumMemory(*in_mem1, *in_mem2, *out_mem);
}
@@ -812,7 +813,8 @@ TEST(MKLDNN_BASE, MKLDNNSum) {
InitMKLDNNArray(&orig_arr.arr, input_mem->get_primitive_desc(), InitDefaultArray);
orig_arr.arr.CopyFrom(*input_mem);
auto old_mem = orig_arr.arr.GetMKLDNNData();
- op::MKLDNNSum(*input_mem, *input_mem2, *input_mem);
+ std::vector<mkldnn::memory> in_mems = {*input_mem, *input_mem2};
+ op::MKLDNNSum(in_mems, *input_mem);
MKLDNNStream::Get()->Submit();
VerifySumMemory(*old_mem, *input_mem2, *input_mem);
}
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