* Upgrade presets for DNNL 3.5.3, OpenBLAS 0.3.28, CPython 3.12.5, N…

…umPy 2.0.1, LLVM 18.1.8, OpenCL 3.0.16, ONNX 1.16.2, ONNX Runtime 1.18.1, TVM 0.17.0
bytedeco · Aug 11, 2024 · ca95556 · ca95556
1 parent 88c4276
commit ca95556
Show file tree

Hide file tree

Showing 148 changed files with 406 additions and 245 deletions.
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -7,7 +7,7 @@
  * Build FFmpeg with zimg to enable zscale filter ([pull #1481](https://github.com/bytedeco/javacpp-presets/pull/1481))
  * Enable PulseAudio support for FFmpeg on Linux ([pull #1472](https://github.com/bytedeco/javacpp-presets/pull/1472))
  * Virtualize `btCollisionWorld`, `btOverlapFilterCallback`, `btOverlapCallback` from Bullet Physics SDK ([pull #1475](https://github.com/bytedeco/javacpp-presets/pull/1475))
- * Upgrade presets for OpenCV 4.10.0, FFmpeg 7.0, Spinnaker 4.0.0.116 ([pull #1524](https://github.com/bytedeco/javacpp-presets/pull/1524)), DNNL 3.4.1, OpenBLAS 0.3.27, CMINPACK 1.3.9, GSL 2.8, CPython 3.12.4, NumPy 2.0.0, SciPy 1.14.0, LLVM 18.1.4, LibRaw 0.21.2 ([pull #1520](https://github.com/bytedeco/javacpp-presets/pull/1520)), Tesseract 5.4.1, libffi 3.4.6, PyTorch 2.3.0 ([pull #1466](https://github.com/bytedeco/javacpp-presets/pull/1466)), SentencePiece 0.2.0, TensorFlow Lite 2.16.1, TensorRT 10.0.1.6, Triton Inference Server 2.44.0, ONNX 1.16.1, ONNX Runtime 1.18.0, TVM 0.16.0, and their dependencies
+ * Upgrade presets for OpenCV 4.10.0, FFmpeg 7.0, Spinnaker 4.0.0.116 ([pull #1524](https://github.com/bytedeco/javacpp-presets/pull/1524)), DNNL 3.5.3, OpenBLAS 0.3.28, CMINPACK 1.3.9, GSL 2.8, CPython 3.12.5, NumPy 2.0.1, SciPy 1.14.0, LLVM 18.1.8, LibRaw 0.21.2 ([pull #1520](https://github.com/bytedeco/javacpp-presets/pull/1520)), Tesseract 5.4.1, libffi 3.4.6, OpenCL 3.0.16, PyTorch 2.3.0 ([pull #1466](https://github.com/bytedeco/javacpp-presets/pull/1466)), SentencePiece 0.2.0, TensorFlow Lite 2.16.1, TensorRT 10.0.1.6, Triton Inference Server 2.44.0, ONNX 1.16.2, ONNX Runtime 1.18.1, TVM 0.17.0, and their dependencies
 
 ### January 29, 2024 version 1.5.10
  * Introduce `macosx-arm64` builds for PyTorch ([pull #1463](https://github.com/bytedeco/javacpp-presets/pull/1463))

diff --git a/README.md b/README.md
@@ -198,8 +198,8 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
  * LZ4 1.9.x  https://github.com/lz4/lz4
  * MKL 2024.x  https://software.intel.com/mkl
  * MKL-DNN 0.21.x  https://github.com/oneapi-src/oneDNN
- * DNNL 3.4.x  https://github.com/oneapi-src/oneDNN
- * OpenBLAS 0.3.27  http://www.openblas.net/
+ * DNNL 3.5.x  https://github.com/oneapi-src/oneDNN
+ * OpenBLAS 0.3.28  http://www.openblas.net/
  * ARPACK-NG 3.9.x  https://github.com/opencollab/arpack-ng
  * CMINPACK 1.3.9  https://github.com/devernay/cminpack
  * FFTW 3.3.10  http://www.fftw.org/download.html
@@ -234,7 +234,7 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
  * ONNX 1.16.x  https://github.com/onnx/onnx
  * nGraph 0.26.0  https://github.com/NervanaSystems/ngraph
  * ONNX Runtime 1.18.x  https://github.com/microsoft/onnxruntime
- * TVM 0.16.x  https://github.com/apache/tvm
+ * TVM 0.17.x  https://github.com/apache/tvm
  * Bullet Physics SDK 3.25  https://pybullet.org
  * LiquidFun  http://google.github.io/liquidfun/
  * Qt 5.15.x  https://download.qt.io/archive/qt/

diff --git a/arpack-ng/platform/pom.xml b/arpack-ng/platform/pom.xml
@@ -24,7 +24,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>openblas-platform</artifactId>
-      <version>0.3.27-${project.parent.version}</version>
+      <version>0.3.28-${project.parent.version}</version>
     </dependency>
     <dependency>
       <groupId>${project.groupId}</groupId>

diff --git a/arpack-ng/pom.xml b/arpack-ng/pom.xml
@@ -22,7 +22,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>openblas</artifactId>
-      <version>0.3.27-${project.parent.version}</version>
+      <version>0.3.28-${project.parent.version}</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>
@@ -45,12 +45,12 @@
           <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>openblas</artifactId>
-            <version>0.3.27-${project.parent.version}</version>
+            <version>0.3.28-${project.parent.version}</version>
           </dependency>
           <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>openblas</artifactId>
-            <version>0.3.27-${project.parent.version}</version>
+            <version>0.3.28-${project.parent.version}</version>
             <classifier>${javacpp.platform}</classifier>
           </dependency>
         </dependencies>

diff --git a/cminpack/platform/pom.xml b/cminpack/platform/pom.xml
@@ -23,7 +23,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>openblas-platform</artifactId>
-      <version>0.3.27-${project.parent.version}</version>
+      <version>0.3.28-${project.parent.version}</version>
     </dependency>
     <dependency>
       <groupId>${project.groupId}</groupId>

diff --git a/cminpack/pom.xml b/cminpack/pom.xml
@@ -18,7 +18,7 @@
     <dependency>
       <groupId>org.bytedeco</groupId>
       <artifactId>openblas</artifactId>
-      <version>0.3.27-${project.parent.version}</version>
+      <version>0.3.28-${project.parent.version}</version>
     </dependency>
     <dependency>
       <groupId>org.bytedeco</groupId>
@@ -41,12 +41,12 @@
           <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>openblas</artifactId>
-            <version>0.3.27-${project.parent.version}</version>
+            <version>0.3.28-${project.parent.version}</version>
           </dependency>
           <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>openblas</artifactId>
-            <version>0.3.27-${project.parent.version}</version>
+            <version>0.3.28-${project.parent.version}</version>
             <classifier>${javacpp.platform}</classifier>
           </dependency>
         </dependencies>

diff --git a/cpython/README.md b/cpython/README.md
@@ -14,7 +14,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * CPython 3.12.4  https://www.python.org/
+ * CPython 3.12.5  https://www.python.org/
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -54,7 +54,7 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>cpython-platform</artifactId>
-            <version>3.12.4-1.5.11-SNAPSHOT</version>
+            <version>3.12.5-1.5.11-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <build>

diff --git a/cpython/cppbuild.sh b/cpython/cppbuild.sh
@@ -7,8 +7,8 @@ if [[ -z "$PLATFORM" ]]; then
     exit
 fi
 
-OPENSSL=openssl-3.3.0
-CPYTHON_VERSION=3.12.4
+OPENSSL=openssl-3.3.1
+CPYTHON_VERSION=3.12.5
 download https://www.openssl.org/source/$OPENSSL.tar.gz $OPENSSL.tar.gz
 download https://www.python.org/ftp/python/$CPYTHON_VERSION/Python-$CPYTHON_VERSION.tgz Python-$CPYTHON_VERSION.tgz
 

diff --git a/cpython/platform/pom.xml b/cpython/platform/pom.xml
@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>cpython-platform</artifactId>
-  <version>3.12.4-${project.parent.version}</version>
+  <version>3.12.5-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for CPython</name>
 
   <properties>

diff --git a/cpython/pom.xml b/cpython/pom.xml
@@ -11,7 +11,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>cpython</artifactId>
-  <version>3.12.4-${project.parent.version}</version>
+  <version>3.12.5-${project.parent.version}</version>
   <name>JavaCPP Presets for CPython</name>
 
   <dependencies>

diff --git a/cpython/samples/pom.xml b/cpython/samples/pom.xml
@@ -12,7 +12,7 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>cpython-platform</artifactId>
-            <version>3.12.4-1.5.11-SNAPSHOT</version>
+            <version>3.12.5-1.5.11-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <build>

diff --git a/cpython/src/gen/java/org/bytedeco/cpython/global/python.java b/cpython/src/gen/java/org/bytedeco/cpython/global/python.java
@@ -144,12 +144,12 @@ There is also (independent) API version information in modsupport.h.
 /*--start constants--*/
 public static final int PY_MAJOR_VERSION =        3;
 public static final int PY_MINOR_VERSION =        12;
-public static final int PY_MICRO_VERSION =        4;
+public static final int PY_MICRO_VERSION =        5;
 public static final int PY_RELEASE_LEVEL =        PY_RELEASE_LEVEL_FINAL;
 public static final int PY_RELEASE_SERIAL =       0;
 
 /* Version as a string */
-public static final String PY_VERSION =              "3.12.4";
+public static final String PY_VERSION =              "3.12.5";
 /*--end constants--*/
 
 /* Version as a single 4-byte hex number, e.g. 0x010502B2 == 1.5.2b2.
@@ -2932,11 +2932,11 @@ linkage handling and it uses __declspec().
 // MSVC makes static_assert a keyword in C11-17, contrary to the standards.
 //
 // In C++11 and C2x, static_assert is a keyword, redefining is undefined
-// behaviour. So only define if building as C (if __STDC_VERSION__ is defined),
-// not C++, and only for C11-17.
+// behaviour. So only define if building as C, not C++ (if __cplusplus is
+// not defined), and only for C11-17.
 // #if !defined(static_assert) && (defined(__GNUC__) || defined(__clang__))
-//      && defined(__STDC_VERSION__) && __STDC_VERSION__ >= 201112L
-//      && __STDC_VERSION__ <= 201710L
+//      && !defined(__cplusplus) && defined(__STDC_VERSION__)
+//      && __STDC_VERSION__ >= 201112L && __STDC_VERSION__ <= 201710L
 // #  define static_assert _Static_assert
 // #endif
 
@@ -8277,7 +8277,7 @@ and where the hash values are equal (i.e. a very probable match) */
 /* Float object interface */
 
 /*
-PyFloatObject represents a (double precision) floating point number.
+PyFloatObject represents a (double precision) floating-point number.
 */
 
 // #ifndef Py_FLOATOBJECT_H

diff --git a/dnnl/README.md b/dnnl/README.md
@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * DNNL 3.3.4  https://01.org/dnnl
+ * DNNL 3.5.3  https://01.org/dnnl
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -25,7 +25,7 @@ Sample Usage
 ------------
 Here is a simple example of DNNL ported to Java from this C++ source file:
 
- * https://github.com/oneapi-src/oneDNN/blob/v3.3.4/examples/cnn_inference_int8.cpp
+ * https://github.com/oneapi-src/oneDNN/blob/v3.5.3/examples/cnn_inference_int8.cpp
 
 We can use [Maven 3](http://maven.apache.org/) to download and install automatically all the class files as well as the native binaries. To run this sample code, after creating the `pom.xml` and `CpuCnnInferenceInt8.java` source files below, simply execute on the command line:
 ```bash
@@ -46,7 +46,7 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>dnnl-platform</artifactId>
-            <version>3.3.4-1.5.10</version>
+            <version>3.5.3-1.5.11-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <build>

diff --git a/dnnl/cppbuild.sh b/dnnl/cppbuild.sh
@@ -11,7 +11,7 @@ export DNNL_CPU_RUNTIME="OMP" # or TBB
 export DNNL_GPU_RUNTIME="OCL"
 
 TBB_VERSION=2020.3
-MKLDNN_VERSION=3.4.1
+MKLDNN_VERSION=3.5.3
 download https://github.com/oneapi-src/oneTBB/archive/v$TBB_VERSION.tar.gz oneTBB-$TBB_VERSION.tar.bz2
 download https://github.com/oneapi-src/oneDNN/archive/v$MKLDNN_VERSION.tar.gz oneDNN-$MKLDNN_VERSION.tar.bz2
 

diff --git a/dnnl/platform/pom.xml b/dnnl/platform/pom.xml
@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>dnnl-platform</artifactId>
-  <version>3.4.1-${project.parent.version}</version>
+  <version>3.5.3-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for DNNL</name>
 
   <properties>

diff --git a/dnnl/pom.xml b/dnnl/pom.xml
@@ -11,7 +11,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>dnnl</artifactId>
-  <version>3.4.1-${project.parent.version}</version>
+  <version>3.5.3-${project.parent.version}</version>
   <name>JavaCPP Presets for DNNL</name>
 
   <dependencies>

diff --git a/dnnl/samples/CpuCnnInferenceInt8.java b/dnnl/samples/CpuCnnInferenceInt8.java
@@ -1,5 +1,5 @@
 /*******************************************************************************
-* Copyright 2018-2022 Intel Corporation
+* Copyright 2018-2024 Intel Corporation
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -87,7 +87,7 @@ static void simple_net_int8(engine.kind engine_kind) throws Exception {
 
         //[Choose scaling factors]
 
-        /// The *source, weights, bias* and *destination* datasets use the single-scale
+        /// The *source, weights* and *destination* datasets use the single-scale
         /// format with mask set to '0'.
         /// @snippet cnn_inference_int8.cpp Set scaling mask
         //[Set scaling mask]
@@ -122,15 +122,15 @@ static void simple_net_int8(engine.kind engine_kind) throws Exception {
         /// descriptors are configured as:
         ///
         /// * 8-bit unsigned (u8) for source and destination.
-        /// * 8-bit signed (s8) for bias and weights.
+        /// * 8-bit signed (s8) for weights.
         ///
         ///  > **Note**
         ///  > The destination type is chosen as *unsigned* because the
         ///  > convolution applies a ReLU operation where data results \f$\geq 0\f$.
         /// @snippet cnn_inference_int8.cpp Create convolution memory descriptors
         //[Create convolution memory descriptors]
         memory.desc conv_src_md = new memory.desc(conv_src_tz, memory.data_type.u8, memory.format_tag.any);
-        memory.desc conv_bias_md = new memory.desc(conv_bias_tz, memory.data_type.s8, memory.format_tag.any);
+        memory.desc conv_bias_md = new memory.desc(conv_bias_tz, memory.data_type.f32, memory.format_tag.any);
         memory.desc conv_weights_md = new memory.desc(conv_weights_tz, memory.data_type.s8, memory.format_tag.any);
         memory.desc conv_dst_md = new memory.desc(conv_dst_tz, memory.data_type.u8, memory.format_tag.any);
         //[Create convolution memory descriptors]

diff --git a/dnnl/samples/pom.xml b/dnnl/samples/pom.xml
@@ -12,7 +12,7 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>dnnl-platform</artifactId>
-            <version>3.3.4-1.5.11-SNAPSHOT</version>
+            <version>3.5.3-1.5.11-SNAPSHOT</version>
         </dependency>
     </dependencies>
     <build>