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.github/workflows/arm-ci.yml
runs-on: [self-hosted, linux, ARM64] strategy: matrix: pyver: ['3.10'] steps: - name: Stop old running containers (if any) shell: bash run: | running_containers=$(docker ps -q) && \
Others - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 07 17:41:21 GMT 2024 - 2.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_test.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_test.cc
/*inputs=*/{x.get()}, /*outputs=*/{}, /*use_function=*/UseFunction()); ASSERT_EQ(errors::OK, s.code()) << s.message(); } // Checks that inputs[0] is a matrix with shape 2x4. Status TestTensorShape2x4(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0) -
maven-core/src/main/java/org/apache/maven/plugin/PluginParameterExpressionEvaluatorV4.java
/** * Evaluator for plugin parameters expressions. Content surrounded by <code>${</code> and <code>}</code> is evaluated. * Recognized values are: * <table border="1"> * <caption>Expression matrix</caption> * <tr><th>expression</th> <th></th> <th>evaluation result</th></tr> * <tr><td><code>session.*</code></td> <td></td> <td></td></tr>
Java - Registered: Sun Apr 28 03:35:10 GMT 2024 - Last Modified: Tue Jan 30 23:39:19 GMT 2024 - 9.8K bytes - Viewed (0) -
ci/official/README.md
- Continuous jobs (Run on every GitHub commit) - Uses `pycpp.sh` - Presubmit jobs (Run on every GitHub PR) - Uses `pycpp.sh`, `code_check_changed_files.sh` These "env" files match up with an environment matrix that roughly covers: - Different Python versions - Linux, MacOS, and Windows machines (these pool definitions are internal) - x86 and arm64 - CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs
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maven-core/src/main/java/org/apache/maven/plugin/PluginParameterExpressionEvaluator.java
/** * Evaluator for plugin parameters expressions. Content surrounded by <code>${</code> and <code>}</code> is evaluated. * Recognized values are: * <table border="1"> * <caption>Expression matrix</caption> * <tr><th>expression</th> <th></th> <th>evaluation result</th></tr> * <tr><td><code>session</code></td> <td></td> <td>the actual {@link MavenSession}</td></tr>
Java - Registered: Sun Apr 28 03:35:10 GMT 2024 - Last Modified: Tue Oct 17 17:55:08 GMT 2023 - 16.7K bytes - Viewed (0) -
docs/de/docs/async.md
* **Maschinelles Lernen**: Normalerweise sind viele „Matrix“- und „Vektor“-Multiplikationen erforderlich. Stellen Sie sich eine riesige Tabelle mit Zahlen vor, in der Sie alle Zahlen gleichzeitig multiplizieren.
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guava-tests/test/com/google/common/reflect/TypeTokenTest.java
assertEquals(int[].class, arrayOf(int.class).getRawType()); } @SuppressWarnings("unused") // used by reflection private static class Holder<T> { List<T>[] matrix; void setList(List<T> list) {} } public void testWildcardCaptured_methodParameter_upperBound() throws Exception { TypeToken<Holder<?>> type = new TypeToken<Holder<?>>() {};
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Thu Feb 22 17:15:24 GMT 2024 - 88.7K bytes - Viewed (0) -
RELEASE.md
* Update sklearn imports for deprecated packages. * Deprecate `Variable.count_up_to` and `tf.count_up_to` in favor of `Dataset.range`. * Export `confusion_matrix` op as `tf.math.confusion_matrix` instead of `tf.train.confusion_matrix`. * Add `tf.dtypes.` endpoint for every constant in dtypes.py. Moving endpoints in versions.py to corresponding endpoints in `tf.sysconfig.`
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docs/en/docs/async.md
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