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Upgrade the oneDNN ep to use oneDNNv2.7 (#13175)

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### Description
This updates the oneDNN library used by oneDNN ep from version 2.6 to
version 2.7



### Motivation and Context
This brings in the many improvements incorporated into the oneDNN
library to the oneDNN execution provider.

Signed-off-by: George Nash <george.nash@intel.com>
This commit is contained in:
George Nash 2022-09-30 12:29:17 -07:00 committed by GitHub
parent eef0a98cae
commit b76a65c784
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GPG key ID: 4AEE18F83AFDEB23
3 changed files with 4 additions and 3 deletions
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2
cmake/external/dnnl.cmake vendored
View file

@ -2,7 +2,7 @@ include (ExternalProject)
set(DNNL_URL https://github.com/oneapi-src/onednn.git)
# If DNNL_TAG is updated, check if MKLML_VERSION and platform.cmake.patch need to be updated.
set(DNNL_TAG v2.6)
set(DNNL_TAG v2.7)
if(WIN32)
set(DNNL_SHARED_LIB dnnl.dll)

3
onnxruntime/core/providers/dnnl/subgraph/dnnl_dynamicquantizelinear.cc
View file

@ -25,6 +25,7 @@ void DnnlDynamicQuantizeLinear::CreatePrimitive(DnnlSubgraphPrimitive& sp, DnnlN
auto x_md = x_mem.get_desc();
auto x_size = x_md.dims().size();
auto x_format = sp.GetDnnlFormat(x_size);
x_mem = sp.GetMemoryAndReshape(node.Input(IN_X), x_md, eng);
// Dims for one dimensional tensor
dnnl::memory::dims one_dim(x_size, 1);
@ -129,7 +130,7 @@ void DnnlDynamicQuantizeLinear::CreatePrimitive(DnnlSubgraphPrimitive& sp, DnnlN
{DNNL_ARG_SRC_1, y_scale_mem},
{DNNL_ARG_ATTR_MULTIPLE_POST_OP(1) | DNNL_ARG_SRC_1, y_zp_mem},
{DNNL_ARG_DST, y_mem}});
// Set outputs
sp.SetMemory(node.Output(OUT_Y), y_mem);
sp.SetMemory(node.Output(OUT_Y_SCALE), y_scale_mem, false, true);

2
onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc
View file

@ -2729,7 +2729,7 @@ TEST(ReductionOpTest, ReduceInfLogSum) {
{FLOAT_INF, FLOAT_INF,
-std::numeric_limits<float>::quiet_NaN(), std::numeric_limits<float>::quiet_NaN(),
std::numeric_limits<float>::quiet_NaN(), std::numeric_limits<float>::quiet_NaN()});
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kDnnlExecutionProvider});
test.Run();
}
TEST(ReductionOpTest, ReduceInfLogSumExp) {