1
0
mirror of https://git.savannah.gnu.org/git/guix.git synced 2026-05-01 14:55:55 +02:00

gnu: onnxruntime: Fix integration into projects.

* gnu/packages/patches/onnxruntime-1.22.0-splittosequence-bool.patch: New file.
* gnu/local.mk (dist_patch_DATA): Register it.
* gnu/packages/machine-learning.scm (onnxruntime)[source]: Use patch.
[arguments]<#:configure-flags>: Enable onnxruntime_USE_FULL_PROTOBUF,
Protobuf_USE_STATIC_LIBS=ON.
[inputs]: Replace onnx by onnx-for-onnxruntime.
Replace protobuf by protobuf-static-for-onnxruntime.

Change-Id: I20d8172b9c4e81ce351cf40102be7db388387a0d
This commit is contained in:
Danny Milosavljevic
2026-02-13 23:37:08 +01:00
parent 0148e0a203
commit a2dbf339f1
3 changed files with 82 additions and 4 deletions
+1
View File
@@ -2008,6 +2008,7 @@ dist_patch_DATA = \
%D%/packages/patches/onnx-1.13.1-use-system-googletest.patch \
%D%/packages/patches/onnx-shared-libraries.patch \
%D%/packages/patches/onnx-skip-model-downloads.patch \
%D%/packages/patches/onnxruntime-1.22.0-splittosequence-bool.patch \
%D%/packages/patches/openbios-aarch64-riscv64-support.patch \
%D%/packages/patches/openboardview-use-system-imgui.patch \
%D%/packages/patches/openboardview-use-system-mpc.patch \
+16 -4
View File
@@ -2203,7 +2203,14 @@ with a single function call.")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "0z2s79l4wdilssw9lmj319ypyyqi2y0dx0fpwr2yhq8bax3ci50n"))))
(base32 "0z2s79l4wdilssw9lmj319ypyyqi2y0dx0fpwr2yhq8bax3ci50n"))
(patches
(search-patches
;; SplitToSequence operator was missing bool type support, despite
;; the ONNX spec allowing it in models. Fixed upstream in 1.23+,
;; but we cannot upgrade because ROCm support was removed in 1.23.
;; <https://github.com/microsoft/onnxruntime/pull/24929>
"onnxruntime-1.22.0-splittosequence-bool.patch"))))
(build-system cmake-build-system)
(arguments
(list
@@ -2217,7 +2224,12 @@ with a single function call.")
"-Donnxruntime_BUILD_SHARED_LIB=ON"
"-Donnxruntime_ENABLE_LTO=ON"
"-Donnxruntime_ENABLE_PYTHON=ON"
"-Donnxruntime_USE_FULL_PROTOBUF=OFF"
"-Donnxruntime_USE_FULL_PROTOBUF=ON"
;; Link static protobuf, matching upstream's vcpkg approach.
;; This keeps the protobuf descriptor pool inside
;; onnxruntime_pybind11_state.so separate from the shared
;; libprotobuf.so used by the regular onnx Python package.
"-DProtobuf_USE_STATIC_LIBS=ON"
;; XXX: Fixes build with gcc@14.
"-DCMAKE_CXX_FLAGS=-Wl,-z,noexecstack")
#:phases
@@ -2296,8 +2308,8 @@ with a single function call.")
flatbuffers-23.5
googletest
nlohmann-json
onnx
protobuf
onnx-for-onnxruntime
protobuf-static-for-onnxruntime
pybind11-2
re2-next
safeint
@@ -0,0 +1,65 @@
From 3b18e8ac863f817cddf0a2fc1ff89aa05fe60557 Mon Sep 17 00:00:00 2001
From: Mauricio Cortazar <mcortazar@truora.com>
Date: Mon, 2 Jun 2025 12:51:41 -0500
Subject: [PATCH] Add support for bool type in SplitToSequence.
Add support for `bool` type to address the below issue.
This PR fixes <https://github.com/microsoft/onnxruntime/issues/12286>
---
docs/OperatorKernels.md | 2 +-
.../core/providers/cpu/sequence/sequence_ops.cc | 2 +-
.../providers/cpu/sequence/sequence_ops_test.cc | 16 +++++++++++++++-
3 files changed, 17 insertions(+), 3 deletions(-)
diff --git a/docs/OperatorKernels.md b/docs/OperatorKernels.md
index 8c1ab002bce67..fc7b1ed21575c 100644
--- a/docs/OperatorKernels.md
+++ b/docs/OperatorKernels.md
@@ -437,7 +437,7 @@ Do not modify directly.*
|||[13, 17]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
|||[2, 10]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|SplitToSequence|*in* input:**T**<br> *in* split:**I**<br> *out* output_sequence:**S**|11+|**I** = tensor(int32), tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))<br/> **T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(string)|
+|SplitToSequence|*in* input:**T**<br> *in* split:**I**<br> *out* output_sequence:**S**|11+|**I** = tensor(int32), tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))<br/> **T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(string)|
|Sqrt|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(double), tensor(float)|
|||[6, 12]|**T** = tensor(double), tensor(float)|
|Squeeze|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* squeezed:**T**<br><br>or<br><br>*in* data:**T**<br> *out* squeezed:**T**|23+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
diff --git a/onnxruntime/core/providers/cpu/sequence/sequence_ops.cc b/onnxruntime/core/providers/cpu/sequence/sequence_ops.cc
index 7a27b04ece7cf..d2541cf3d35ce 100644
--- a/onnxruntime/core/providers/cpu/sequence/sequence_ops.cc
+++ b/onnxruntime/core/providers/cpu/sequence/sequence_ops.cc
@@ -339,7 +339,7 @@ ONNX_CPU_OPERATOR_KERNEL(
11,
KernelDefBuilder()
.TypeConstraint("T",
- BuildKernelDefConstraints<float, MLFloat16, double, int32_t, int64_t, std::string>())
+ BuildKernelDefConstraints<float, MLFloat16, double, int32_t, int64_t, bool, std::string>())
.TypeConstraint("S", DataTypeImpl::AllSequenceTensorTypes())
.TypeConstraint("I", BuildKernelDefConstraints<int32_t, int64_t>()),
SplitToSequence);
diff --git a/onnxruntime/test/providers/cpu/sequence/sequence_ops_test.cc b/onnxruntime/test/providers/cpu/sequence/sequence_ops_test.cc
index c2d64b8e5ee4a..d819b0973adc2 100644
--- a/onnxruntime/test/providers/cpu/sequence/sequence_ops_test.cc
+++ b/onnxruntime/test/providers/cpu/sequence/sequence_ops_test.cc
@@ -536,5 +536,19 @@ TEST(SequenceOpsTest, SplitToSequence_PositiveAxisDontKeepDims) {
test.AddSeqOutput("S2", output);
test.Run();
}
+
+TEST(SequenceOpsTest, SplitToSequence_BoolSplit) {
+ OpTester test("SplitToSequence", 11);
+ test.AddInput<bool>("input", {4, 2}, std::initializer_list<bool>({1, 1, 1, 1, 0, 0, 0, 0}));
+ int64_t axis = 0;
+ test.AddAttribute("axis", axis);
+ SeqTensors<bool> output;
+ output.AddTensor({1, 2}, {1, 1});
+ output.AddTensor({1, 2}, {1, 1});
+ output.AddTensor({1, 2}, {0, 0});
+ output.AddTensor({1, 2}, {0, 0});
+ test.AddSeqOutput("S2", output);
+ test.Run();
+}
} // namespace test
-} // namespace onnxruntime
\ No newline at end of file
+} // namespace onnxruntime