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Bump basicdataset from 0.15.0 to 0.17.0#29

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Bump basicdataset from 0.15.0 to 0.17.0#29
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dependabot/gradle/ai.djl-basicdataset-0.17.0

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@dependabot dependabot Bot commented on behalf of github May 11, 2022

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Bumps basicdataset from 0.15.0 to 0.17.0.

Release notes

Sourced from basicdataset's releases.

DJL v0.17.0 release

Key Features

  • Adds linux AArch64 support for PyTorch
  • Upgrades Engine Releases
    • XGBoost version 1.6.0 (#1624)
    • PaddlePaddle version 2.2.2 (#1601)
    • ONNXRuntime version 1.11.0 (#1602)
    • PyTorch version 1.11.0 (#1583)
    • Apache MXNet version 1.9.0 (#1429)
  • Newly Added Datasets
    • PennTreebank dataset (#1580)
    • WikiText-2 dataset (#1545)
  • Support freezing parameters for transfer learning (#1544)

Enhancement

  • Upgrade djl-bench to 0.15.0 (#1476)
  • Add SessionOptions support for OnnxRuntime (#1479)
  • Device Name parsing (#1490)
  • arena allocator setter (#1510)
  • Upgrade native build mxnet version (#1517)
  • Refactor ml extension support (#1521)
  • Parse default device with Device.fromName (#1529)
  • Upgrade dependency versions (#1533)
  • release Update document version to 0.16.0 (#1536)
  • Bump up version to 0.17.0 (#1537)
  • Building DJL For aarch64 (#1526)
  • api Make resource loading compatible with java9 module (#1541)
  • pytorch Allows multiple native jars to package into fat jar (#1543)
  • Add document with installation instructions (#1548)
  • Separate AbstractSymbolBlock from AbstractBlock (#1555)
  • Add better error message for libstdc++ tf errors (#1570)
  • basicdataset Add Stanford Question Answering Dataset (#1554)
  • xgb Set default missing value to NaN (#1571)
  • allow empty batch data (#1569)
  • pytorch Allows load libtroch from pip installation package (#1577)
  • HF Tokenizer: get charspans (#1584)
  • benchmark Allows benchmark run on aarch64 for PyTorch (#1591)
  • add pytorch cuDNN acceleration (#1592)
  • add troubleshoot issue (#1600)
  • add paddle CU110 (#1604)
  • Update badge (#1610)
  • ONNXRuntime add tensorRT option (#1611)
  • api Refactor metrics API (#1613)
  • api Fixes metric dimension (#1614)
  • bom Update bom dependency (#1615)
  • pytorch Use precxx11 build for aarch64 native library (#1619)
  • pytorch use precxx11 for aarch64 (#1620)
  • Update inference_performance_optimization.md (#1621)

... (truncated)

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Bumps [basicdataset](https://github.com/deepjavalibrary/djl) from 0.15.0 to 0.17.0.
- [Release notes](https://github.com/deepjavalibrary/djl/releases)
- [Commits](deepjavalibrary/djl@v0.15.0...v0.17.0)

---
updated-dependencies:
- dependency-name: ai.djl:basicdataset
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added the dependencies Pull requests that update a dependency file label May 11, 2022
@dependabot @github

dependabot Bot commented on behalf of github Jul 11, 2022

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Superseded by #30.

@dependabot dependabot Bot closed this Jul 11, 2022
@dependabot dependabot Bot deleted the dependabot/gradle/ai.djl-basicdataset-0.17.0 branch July 11, 2022 23:23
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