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[VSINPU]Update vsinpu patches (#21402)

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### Description
- update patches for accuracy modification && local result recording
This commit is contained in:
Chen Feiyue 2024-08-22 14:58:56 +08:00 committed by GitHub
parent 3ff8ca29e5
commit ff3e8b02c3
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GPG key ID: B5690EEEBB952194
3 changed files with 100 additions and 47 deletions
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22
onnxruntime/core/providers/vsinpu/patches/AccuracyCorrection.patch
View file

@ -1,8 +1,8 @@
diff --git a/onnxruntime/test/providers/checkers.cc b/onnxruntime/test/providers/checkers.cc
index 47c18c478d..93b44501cd 100644
index d0e08448ce..8693f4d570 100644
--- a/onnxruntime/test/providers/checkers.cc
+++ b/onnxruntime/test/providers/checkers.cc
@@ -195,7 +195,7 @@ struct TensorCheck<uint8_t> {
@@ -252,7 +252,7 @@ struct TensorCheck<uint8_t> {
// For any other EPs, we still expect an exact match for the results
// TODO: Verify if DML can possibly have a ROUNDING_MODE parameter and conform to the other EPs #41968513
if ((provider_type == kNnapiExecutionProvider || provider_type == kDmlExecutionProvider ||
@ -11,6 +11,24 @@ index 47c18c478d..93b44501cd 100644
(has_abs_err || has_rel_err)) {
double threshold = has_abs_err ? *(params.absolute_error)
: 0.0;
@@ -301,7 +301,7 @@ struct TensorCheck<int8_t> {
// When absolute error is less than 1 for int8, it has same effect as no tolerance.
const bool has_abs_err = params.absolute_error.has_value() && *(params.absolute_error) >= 1.0f;
-
+ const int8_t default_abs_err = 1;
// TODO: the relative error is not used for int8 yet.
if (has_abs_err) {
double threshold = *(params.absolute_error);
@@ -311,7 +311,7 @@ struct TensorCheck<int8_t> {
}
} else {
for (int64_t i = 0; i < size; ++i) {
- EXPECT_EQ(cur_expected[i], cur_actual[i]) << "i:" << i;
+ EXPECT_NEAR(cur_expected[i], cur_actual[i], default_abs_err) << "i:" << i;
}
}
}
diff --git a/onnxruntime/test/providers/cpu/nn/qlinearconv_op_test.cc b/onnxruntime/test/providers/cpu/nn/qlinearconv_op_test.cc
index 2bc0df5e36..7beb78c2ff 100644
--- a/onnxruntime/test/providers/cpu/nn/qlinearconv_op_test.cc

111
onnxruntime/core/providers/vsinpu/patches/local_testing_record_res.patch
View file

@ -1,5 +1,5 @@
diff --git a/onnxruntime/test/onnx/dataitem_request.cc b/onnxruntime/test/onnx/dataitem_request.cc
index 1ee302d5d5..5c2dd5ab00 100644
index d8deafb70b..86a97493f8 100644
--- a/onnxruntime/test/onnx/dataitem_request.cc
+++ b/onnxruntime/test/onnx/dataitem_request.cc
@@ -135,6 +135,7 @@ std::pair<EXECUTE_RESULT, TIME_SPEC> DataTaskRequestContext::RunImpl() {
@ -10,7 +10,7 @@ index 1ee302d5d5..5c2dd5ab00 100644
for (auto& output : expected_output_values) {
const std::string& output_name = output.first;
OrtValue* expected_output_value = output.second; // Automatic cast
@@ -170,7 +171,7 @@ std::pair<EXECUTE_RESULT, TIME_SPEC> DataTaskRequestContext::RunImpl() {
@@ -158,7 +159,7 @@ std::pair<EXECUTE_RESULT, TIME_SPEC> DataTaskRequestContext::RunImpl() {
} else { // Both expect and actual OrtValues are not None, proceed with data checking
ret =
CompareOrtValue(*actual_output_value, *expected_output_value, per_sample_tolerance,
@ -19,47 +19,22 @@ index 1ee302d5d5..5c2dd5ab00 100644
}
} else { // Expected output is None, ensure that the received output OrtValue is None as well
if (actual_output_value->IsAllocated()) {
@@ -223,9 +224,10 @@ std::pair<EXECUTE_RESULT, TIME_SPEC> DataTaskRequestContext::RunImpl() {
@@ -211,9 +212,7 @@ std::pair<EXECUTE_RESULT, TIME_SPEC> DataTaskRequestContext::RunImpl() {
if (compare_result != COMPARE_RESULT::SUCCESS && !ret.second.empty()) {
LOGS_DEFAULT(ERROR) << test_case_.GetTestCaseName() << ":output=" << output_name << ":" << ret.second;
}
- if (compare_result != COMPARE_RESULT::SUCCESS) {
- break;
- }
+ // if (compare_result != COMPARE_RESULT::SUCCESS) {
+ // break;
+ // }
+ out_idx ++;
}
return std::make_pair(res, spent_time_);
}
diff --git a/onnxruntime/test/providers/checkers.cc b/onnxruntime/test/providers/checkers.cc
index f1a7240ea3..436031dfa8 100644
--- a/onnxruntime/test/providers/checkers.cc
+++ b/onnxruntime/test/providers/checkers.cc
@@ -154,6 +154,7 @@ struct TensorCheck<int8_t> {
}
const bool has_abs_err = params.absolute_error.has_value();
+ const int8_t default_abs_err = 1;
if (has_abs_err) {
double threshold = *(params.absolute_error);
@@ -162,7 +163,8 @@ struct TensorCheck<int8_t> {
}
} else {
for (int i = 0; i < size; ++i) {
- EXPECT_EQ(cur_expected[i], cur_actual[i]) << "i:" << i;
+ // EXPECT_EQ(cur_expected[i], cur_actual[i]) << "i:" << i;
+ EXPECT_NEAR(cur_expected[i], cur_actual[i], default_abs_err) << "i:" << i;
}
}
}
diff --git a/onnxruntime/test/util/compare_ortvalue.cc b/onnxruntime/test/util/compare_ortvalue.cc
index 3d53d4a3a0..8129af1820 100644
index cc4c0440d2..1a37b6f28a 100644
--- a/onnxruntime/test/util/compare_ortvalue.cc
+++ b/onnxruntime/test/util/compare_ortvalue.cc
@@ -138,11 +138,75 @@ std::pair<COMPARE_RESULT, std::string> CompareFloatResult(const Tensor& outvalue
@@ -188,11 +188,75 @@ std::pair<COMPARE_RESULT, std::string> CompareFloatResult(const Tensor& outvalue
return res;
}
@ -136,7 +111,53 @@ index 3d53d4a3a0..8129af1820 100644
for (size_t di = 0; di != size1; ++di) {
if (expected_output[di] != real_output[di]) {
std::ostringstream oss;
@@ -201,7 +265,7 @@ std::pair<COMPARE_RESULT, std::string> CompareBFloat16Result(const Tensor& outva
@@ -205,10 +269,12 @@ std::pair<COMPARE_RESULT, std::string> IsResultExactlyMatch(const Tensor& outval
template <>
std::pair<COMPARE_RESULT, std::string> IsResultExactlyMatch<Int4x2>(const Tensor& outvalue,
- const Tensor& expected_value) {
+ const Tensor& expected_value,
+ int32_t placehold) {
const size_t size1 = static_cast<size_t>(expected_value.Shape().Size());
const Int4x2* expected_output = expected_value.Data<Int4x2>();
const Int4x2* real_output = outvalue.Data<Int4x2>();
+ (void) placehold;
for (size_t di = 0; di != size1; ++di) {
size_t r = di >> 1;
size_t c = di & 0x1;
@@ -224,10 +290,12 @@ std::pair<COMPARE_RESULT, std::string> IsResultExactlyMatch<Int4x2>(const Tensor
template <>
std::pair<COMPARE_RESULT, std::string> IsResultExactlyMatch<UInt4x2>(const Tensor& outvalue,
- const Tensor& expected_value) {
+ const Tensor& expected_value,
+ int32_t placehold) {
const size_t size1 = static_cast<size_t>(expected_value.Shape().Size());
const UInt4x2* expected_output = expected_value.Data<UInt4x2>();
const UInt4x2* real_output = outvalue.Data<UInt4x2>();
+ (void) placehold;
for (size_t di = 0; di != size1; ++di) {
size_t r = di >> 1;
size_t c = di & 0x1;
@@ -244,7 +312,7 @@ std::pair<COMPARE_RESULT, std::string> IsResultExactlyMatch<UInt4x2>(const Tenso
std::pair<COMPARE_RESULT, std::string> CompareFloat16Result(const Tensor& outvalue, const Tensor& expected_value,
double per_sample_tolerance,
double relative_per_sample_tolerance,
- bool post_processing) {
+ bool post_processing, int32_t out_idx) {
const size_t size1 = static_cast<size_t>(expected_value.Shape().Size());
const MLFloat16* expected_output = expected_value.Data<MLFloat16>();
const MLFloat16* real_output = outvalue.Data<MLFloat16>();
@@ -267,7 +335,7 @@ std::pair<COMPARE_RESULT, std::string> CompareFloat16Result(const Tensor& outval
std::pair<COMPARE_RESULT, std::string> CompareBFloat16Result(const Tensor& outvalue, const Tensor& expected_value,
double per_sample_tolerance,
double relative_per_sample_tolerance,
- bool post_processing) {
+ bool post_processing, int32_t out_idx) {
const size_t size1 = static_cast<size_t>(expected_value.Shape().Size());
const BFloat16* expected_output = expected_value.Data<BFloat16>();
const BFloat16* real_output = outvalue.Data<BFloat16>();
@@ -289,7 +357,7 @@ std::pair<COMPARE_RESULT, std::string> CompareBFloat16Result(const Tensor& outva
std::pair<COMPARE_RESULT, std::string> CompareTwoTensors(const Tensor& outvalue, const Tensor& expected_tensor,
double per_sample_tolerance,
@ -145,8 +166,8 @@ index 3d53d4a3a0..8129af1820 100644
if (expected_tensor.Shape() != outvalue.Shape()) {
std::ostringstream oss;
oss << "shape mismatch, expect " << expected_tensor.Shape().ToString() << " got " << outvalue.Shape().ToString();
@@ -209,30 +273,30 @@ std::pair<COMPARE_RESULT, std::string> CompareTwoTensors(const Tensor& outvalue,
}
@@ -328,40 +396,40 @@ std::pair<COMPARE_RESULT, std::string> CompareTwoTensors(const Tensor& outvalue,
if (outvalue.IsDataType<float>()) {
return CompareFloatResult<float>(outvalue, expected_tensor, per_sample_tolerance, relative_per_sample_tolerance,
- post_processing);
@ -185,10 +206,24 @@ index 3d53d4a3a0..8129af1820 100644
} else if (outvalue.IsDataType<bool>()) {
- return IsResultExactlyMatch<bool>(outvalue, expected_tensor);
+ return IsResultExactlyMatch<bool>(outvalue, expected_tensor, out_idx);
} else if (outvalue.IsDataType<Int4x2>()) {
- return IsResultExactlyMatch<Int4x2>(outvalue, expected_tensor);
+ return IsResultExactlyMatch<Int4x2>(outvalue, expected_tensor, 0);
} else if (outvalue.IsDataType<UInt4x2>()) {
- return IsResultExactlyMatch<UInt4x2>(outvalue, expected_tensor);
+ return IsResultExactlyMatch<UInt4x2>(outvalue, expected_tensor, 0);
} else if (outvalue.IsDataType<MLFloat16>()) {
return CompareFloat16Result(outvalue, expected_tensor, per_sample_tolerance, relative_per_sample_tolerance,
post_processing);
@@ -300,7 +364,7 @@ std::pair<COMPARE_RESULT, std::string> CompareSparseTensors(const SparseTensor&
- post_processing);
+ post_processing, out_idx);
} else if (outvalue.IsDataType<BFloat16>()) {
return CompareBFloat16Result(outvalue, expected_tensor, per_sample_tolerance, relative_per_sample_tolerance,
- post_processing);
+ post_processing, out_idx);
} else {
return std::make_pair(COMPARE_RESULT::NOT_SUPPORT, "");
}
@@ -423,7 +491,7 @@ std::pair<COMPARE_RESULT, std::string> CompareSparseTensors(const SparseTensor&
" actual: ", actual.Format());
TEST_RETURN_IF_ERROR(CompareTwoTensors(actual.Values(), expected.Values(),
@ -197,7 +232,7 @@ index 3d53d4a3a0..8129af1820 100644
"While comparing sparse values");
if (actual.Format() == SparseFormat::kCoo) {
@@ -308,16 +372,16 @@ std::pair<COMPARE_RESULT, std::string> CompareSparseTensors(const SparseTensor&
@@ -431,16 +499,16 @@ std::pair<COMPARE_RESULT, std::string> CompareSparseTensors(const SparseTensor&
auto expected_view = expected.AsCoo();
TEST_RETURN_IF_ERROR(CompareTwoTensors(actual_view.Indices(), expected_view.Indices(),
@ -217,7 +252,7 @@ index 3d53d4a3a0..8129af1820 100644
"Comparing Csr(c) outer indices");
}
@@ -385,7 +449,83 @@ std::pair<COMPARE_RESULT, std::string> CompareOrtValue(const OrtValue& o, const
@@ -508,7 +576,83 @@ std::pair<COMPARE_RESULT, std::string> CompareOrtValue(const OrtValue& o, const
return std::make_pair(COMPARE_RESULT::TYPE_MISMATCH, oss.str());
}
return CompareTwoTensors(outvalue, expected_tensor, per_sample_tolerance, relative_per_sample_tolerance,
@ -302,7 +337,7 @@ index 3d53d4a3a0..8129af1820 100644
} else if (o.IsSparseTensor()) {
#if !defined(DISABLE_SPARSE_TENSORS)
TEST_RETURN_IF_NOT(expected_mlvalue.IsSparseTensor(), COMPARE_RESULT::TYPE_MISMATCH,
@@ -419,7 +559,7 @@ std::pair<COMPARE_RESULT, std::string> CompareOrtValue(const OrtValue& o, const
@@ -542,7 +686,7 @@ std::pair<COMPARE_RESULT, std::string> CompareOrtValue(const OrtValue& o, const
for (size_t i = 0; i < expected_tensor_count; ++i) {
auto res = CompareTwoTensors(actual_tensor_seq.Get(i), expected_tensor_seq.Get(i), per_sample_tolerance, relative_per_sample_tolerance,

14
onnxruntime/core/providers/vsinpu/patches/mlas_crosscompiling.patch
View file

@ -1,10 +1,10 @@
diff --git a/cmake/onnxruntime_mlas.cmake b/cmake/onnxruntime_mlas.cmake
index 304aa77f54..5c22b7097b 100644
index 66f4aea606..481109e560 100644
--- a/cmake/onnxruntime_mlas.cmake
+++ b/cmake/onnxruntime_mlas.cmake
@@ -354,7 +354,7 @@ else()
@@ -361,7 +361,7 @@ else()
)
set_source_files_properties(${MLAS_SRC_DIR}/sqnbitgemm_kernel_neon.cpp
set_source_files_properties(${MLAS_SRC_DIR}/sqnbitgemm_kernel_neon_int8.cpp
PROPERTIES COMPILE_FLAGS " -march=armv8.2-a+dotprod")
- if (NOT APPLE)
+ if (NOT APPLE AND NOT onnxruntime_USE_VSINPU)
@ -12,11 +12,11 @@ index 304aa77f54..5c22b7097b 100644
${mlas_platform_srcs}
${MLAS_SRC_DIR}/aarch64/HalfGemmKernelNeon.S
diff --git a/onnxruntime/core/mlas/inc/mlas.h b/onnxruntime/core/mlas/inc/mlas.h
index cdfd283899..678a055b24 100644
index 675f7c7a13..eb7ed77911 100644
--- a/onnxruntime/core/mlas/inc/mlas.h
+++ b/onnxruntime/core/mlas/inc/mlas.h
@@ -82,6 +82,9 @@ Abstract:
#if (!defined(_MSC_VER)) || (_MSC_VER >= 1930)
#if defined(MLAS_TARGET_ARM64) || defined(MLAS_TARGET_ARM64EC)
+#if !defined(USE_VSINPU)
@ -26,9 +26,9 @@ index cdfd283899..678a055b24 100644
// Had to temporary disable fp16 under APPLE ARM64, as compiling
// the source files require a hardware specific compilation flag.
@@ -90,6 +93,7 @@ Abstract:
#define MLAS_F16VEC_INTRINSICS_SUPPORTED
+#endif //
#endif //
#endif // ARM64