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								.github/workflows/test_multiple_arch.yaml
									
									
									
									
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										19
									
								
								.github/workflows/test_multiple_arch.yaml
									
									
									
									
										vendored
									
									
								
							@ -33,7 +33,6 @@ jobs:
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      - uses: actions/checkout@v2
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      - uses: ./.github/actions/download-dl4j-test-resources-linux
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      - uses: ./.github/actions/install-protobuf-linux
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      - uses: ./.github/actions/install-cmake-linux
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      - uses: uraimo/run-on-arch-action@v2.0.8
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        name: Build and test with ${{ matrix.arch }} ${{ matrix.distro }}
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        id: build
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@ -53,6 +52,9 @@ jobs:
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               echo "After install on architecture ${{ matrix.arch }}"
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               mkdir -p "/opt/maven"
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               curl -fsSL http://apache.osuosl.org/maven/maven-3/3.6.3/binaries/apache-maven-3.6.3-bin.tar.gz | tar -xzC "/opt/maven" --strip-components=1
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               apt-get -yq  update && apt-get install -y build-essential unzip libssl-dev
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               curl -fsSL http://cmake.org/files/v3.19/cmake-3.19.0.tar.gz | tar xz && cd cmake-3.19.0
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                                 ./configure --prefix=/opt/cmake && make -j2 && make install && cd .. && rm -r cmake-3.19.0
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               export PATH="/opt/maven/bin:$PATH"
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                   echo "RUNNING ARCH ${{ matrix.arch }}"
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                            case "${{ matrix.arch }}" in
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@ -69,8 +71,21 @@ jobs:
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                  mvn --version
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                  export PATH="/opt/cmake/bin:/opt/maven/bin:/opt/protobuf/bin:$PATH"
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                  cmake --version
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                  wget https://github.com/KonduitAI/dl4j-test-resources/archive/master.zip && unzip master.zip
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                  cd dl4j-test-resources-master
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                  mvn clean install -DskipTests
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                  echo "Extracted test resources"
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                  echo "Running build in ${pwd}"
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                   mvn  -X -Possrh -pl :nd4j-tests  -Djavacpp.platform=linux-x86_64 -Dlibnd4j.chip=cpu -Pcpu --batch-mode clean test -Dtest=org.nd4j.smoketests.SmokeTest
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                  curl -fsSL https://github.com/google/protobuf/releases/download/v3.5.1/protobuf-cpp-3.5.1.tar.gz \
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                                       | tar xz && \
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                                       cd protobuf-3.5.1 && \
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                                       ./configure --prefix=/opt/protobuf && \
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                                       make -j2 && \
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                                       make install && \
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                                       cd .. && \
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                                       rm -rf protobuf-3.5.1
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                  echo "/opt/protobuf/bin" >> $GITHUB_PATH
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                  mvn  -X -Possrh -pl :nd4j-tests  -Djavacpp.platform=linux-${{matrix.arch}} -Dlibnd4j.chip=cpu -Pcpu --batch-mode clean test -Dtest=org.nd4j.smoketests.SmokeTest
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@ -438,9 +438,9 @@ fi
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if [ -z "$COMPUTE" ]; then
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  if [ "$ARCH" == "x86-64" ]; then
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   COMPUTE="5.0 5.2 5.3 6.0 6.2 8.0"
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   COMPUTE="5.0 5.2 5.3 6.0 8.0"
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  else
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      COMPUTE="5.0 5.2 5.3 6.0 6.2"
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      COMPUTE="5.0 5.2 5.3 6.0"
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  fi
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fi
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@ -5411,14 +5411,12 @@ public final class TensorNamespace {
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     * Serializations can either use one of the fields above, or use this
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     * raw bytes field. The only exception is the string case, where one is
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     * required to store the content in the repeated bytes string_data field.
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     *
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     * When this raw_data field is used to store tensor value, elements MUST
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     * be stored in as fixed-width, little-endian order.
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     * Floating-point data types MUST be stored in IEEE 754 format.
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     * Complex64 elements must be written as two consecutive FLOAT values, real component first.
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     * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
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     * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
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     *
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     * Note: the advantage of specific field rather than the raw_data field is
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     * that in some cases (e.g. int data), protobuf does a better packing via
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     * variable length storage, and may lead to smaller binary footprint.
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@ -5657,7 +5655,6 @@ public final class TensorNamespace {
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  /**
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   * <pre>
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   * Tensors
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   *
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   * A serialized tensor value.
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   * </pre>
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   *
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@ -7013,14 +7010,12 @@ public final class TensorNamespace {
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     * Serializations can either use one of the fields above, or use this
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     * raw bytes field. The only exception is the string case, where one is
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     * required to store the content in the repeated bytes string_data field.
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     *
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     * When this raw_data field is used to store tensor value, elements MUST
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     * be stored in as fixed-width, little-endian order.
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     * Floating-point data types MUST be stored in IEEE 754 format.
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     * Complex64 elements must be written as two consecutive FLOAT values, real component first.
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     * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
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     * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
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     *
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     * Note: the advantage of specific field rather than the raw_data field is
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     * that in some cases (e.g. int data), protobuf does a better packing via
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     * variable length storage, and may lead to smaller binary footprint.
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@ -7771,7 +7766,6 @@ public final class TensorNamespace {
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    /**
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     * <pre>
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     * Tensors
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     *
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     * A serialized tensor value.
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     * </pre>
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     *
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@ -9086,14 +9080,12 @@ public final class TensorNamespace {
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       * Serializations can either use one of the fields above, or use this
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       * raw bytes field. The only exception is the string case, where one is
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       * required to store the content in the repeated bytes string_data field.
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       *
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       * When this raw_data field is used to store tensor value, elements MUST
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       * be stored in as fixed-width, little-endian order.
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       * Floating-point data types MUST be stored in IEEE 754 format.
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       * Complex64 elements must be written as two consecutive FLOAT values, real component first.
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       * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
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       * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
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       *
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       * Note: the advantage of specific field rather than the raw_data field is
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       * that in some cases (e.g. int data), protobuf does a better packing via
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       * variable length storage, and may lead to smaller binary footprint.
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@ -9110,14 +9102,12 @@ public final class TensorNamespace {
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       * Serializations can either use one of the fields above, or use this
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       * raw bytes field. The only exception is the string case, where one is
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       * required to store the content in the repeated bytes string_data field.
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       *
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       * When this raw_data field is used to store tensor value, elements MUST
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       * be stored in as fixed-width, little-endian order.
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       * Floating-point data types MUST be stored in IEEE 754 format.
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       * Complex64 elements must be written as two consecutive FLOAT values, real component first.
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       * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
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       * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
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       *
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       * Note: the advantage of specific field rather than the raw_data field is
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       * that in some cases (e.g. int data), protobuf does a better packing via
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       * variable length storage, and may lead to smaller binary footprint.
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@ -9140,14 +9130,12 @@ public final class TensorNamespace {
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       * Serializations can either use one of the fields above, or use this
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       * raw bytes field. The only exception is the string case, where one is
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       * required to store the content in the repeated bytes string_data field.
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       *
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       * When this raw_data field is used to store tensor value, elements MUST
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       * be stored in as fixed-width, little-endian order.
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       * Floating-point data types MUST be stored in IEEE 754 format.
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       * Complex64 elements must be written as two consecutive FLOAT values, real component first.
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       * Complex128 elements must be written as two consecutive DOUBLE values, real component first.
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       * Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
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       *
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       * Note: the advantage of specific field rather than the raw_data field is
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       * that in some cases (e.g. int data), protobuf does a better packing via
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       * variable length storage, and may lead to smaller binary footprint.
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