{devel}[gfbf/2024a] ONNX v1.20.0, ONNX-Script v0.5.6, ONNX-IR v0.1.12

easybuild/easyconfigs/o/ONNX-IR/ONNX-IR-0.1.12-gfbf-2024a.eb

@@ -0,0 +1,28 @@
+easyblock = 'PythonPackage'
+
+name = 'ONNX-IR'
+version = '0.1.12'
+
+homepage = 'https://github.com/onnx/ir-py'
+description = """
+An in-memory IR that supports the full ONNX spec, designed for graph construction, analysis and
+transformation.
+"""
+
+toolchain = {'name': 'gfbf', 'version': '2024a'}
+
+sources = ['onnx_ir-%(version)s.tar.gz']
+checksums = ['742e0bff875d0547724187560b3f441833191c8aa939c05f14176f4892784deb']
+
+dependencies = [
+    ('Python', '3.12.3'),
+    ('ml_dtypes', '0.5.0'),
+    ('SciPy-bundle', '2024.05'),
+    ('ONNX', '1.20.0'),
+]
+
+preinstallopts = """sed -i '/^license/d' pyproject.toml && """
+# Ensure compatibilty with numpy < 2 which had no strings module
+preinstallopts += """sed -i 's/np.strings.encode/np.char.encode/' src/onnx_ir/_convenience/_constructors.py && """
+
+moduleclass = 'devel'

easybuild/easyconfigs/o/ONNX-Script/ONNX-Script-0.5.6-gfbf-2024a.eb

@@ -0,0 +1,27 @@
+easyblock = 'PythonPackage'
+
+name = 'ONNX-Script'
+version = '0.5.6'
+
+homepage = 'https://microsoft.github.io/onnxscript/'
+description = """
+ONNX Script enables developers to naturally author ONNX functions and models using a subset of
+Python.
+"""
+
+source_urls = ['https://pypi.python.org/packages/source/%(nameletterlower)s/onnxscript']
+sources = ['onnxscript-%(version)s.tar.gz']
+checksums = ['cc3338b2976daffd2af0bb6ac4866a4dca76aefface1666a0d7bc65ad9850822']
+
+toolchain = {'name': 'gfbf', 'version': '2024a'}
+
+dependencies = [
+    ('Python', '3.12.3'),
+    ('ml_dtypes', '0.5.0'),
+    ('ONNX', '1.20.0'),
+    ('ONNX-IR', '0.1.12'),
+]
+
+options = {'modulename': 'onnxscript'}
+
+moduleclass = 'devel'

easybuild/easyconfigs/o/ONNX/ONNX-1.20.0-gfbf-2024a.eb

@@ -0,0 +1,61 @@
+easyblock = 'PythonPackage'
+
+name = 'ONNX'
+version = '1.20.0'
+
+homepage = 'https://onnx.ai'
+description = """
+Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI
+developers to choose the right tools as their project evolves. ONNX provides an
+open source format for AI models, both deep learning and traditional ML. It
+defines an extensible computation graph model, as well as definitions of
+built-in operators and standard data types. Currently we focus on the
+capabilities needed for inferencing (scoring)."""
+
+toolchain = {'name': 'gfbf', 'version': '2024a'}
+
+sources = [SOURCELOWER_TAR_GZ]
+checksums = ['1a93ec69996b4556062d552ed1aa0671978cfd3c17a40bf4c89a1ae169c6a4ad']
+
+builddependencies = [
+    ('CMake', '3.29.3'),
+]
+
+dependencies = [
+    ('Python', '3.12.3'),
+    ('SciPy-bundle', '2024.05'),
+    ('protobuf-python', '5.28.0'),
+    ('typing-extensions', '4.11.0'),
+    ('ml_dtypes', '0.5.0'),
+]
+
+# hardcode version in pyproject.toml rather than determining it dynamically
+preinstallopts = """sed -i 's/"version",//g' pyproject.toml && """
+preinstallopts += """sed -i 's/readme = .*/version = "%(version)s"/g' pyproject.toml && """
+preinstallopts += """sed -i '/^license/d' pyproject.toml && """
+
+# fix for: undefined symbol: _ZN6google8protobuf8internal15ThreadSafeArena13thread_cache_E
+# see also https://bugs.archlinux.org/task/75242
+# author: Kenneth Hoste (HPC-UGent)
+preinstallopts += "sed -i '50 s/if(MSVC)/#if(MSVC)/' CMakeLists.txt && "
+preinstallopts += "sed -i '53 s/endif()/#endif()/' CMakeLists.txt && "
+
+# specify C++17 standard and link to protobuf shared library (also requires patch to use -DPROTOBUF_USE_DLLS);
+# required to fix "error: 'string_view' in namespace 'std' does not name a type",
+# see also https://github.com/onnx/onnx/issues/5430
+preinstallopts += "export CMAKE_ARGS='-DCMAKE_CXX_STANDARD=17 -DONNX_USE_PROTOBUF_SHARED_LIBS=ON' && "
+
+preinstallopts += 'env MAX_JOBS="%(parallel)s"'
+
+sanity_check_paths = {
+    'files': ['bin/check-model', 'bin/check-node', 'bin/backend-test-tools'],
+    'dirs': ['lib/python%(pyshortver)s/site-packages'],
+}
+
+sanity_check_commands = [
+    'check-model -h',
+    'check-node -h',
+    'backend-test-tools -h',
+]
+
+moduleclass = 'devel'