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Upgrade to TF 2.16.1 (#531)
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‎CONTRIBUTING.md

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@@ -87,6 +87,7 @@ To upgrade the version of TensorFlow that is embedded within TensorFlow Java, pl
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7. Copy the content of `tensorflow-x.x.x/.bazelversion` file to `tensorflow-core/tensorflow-core-native/.bazelversion`
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8. Validate that options in `tensorflow-core/tensorflow-core-native/.bazelrc` are still accurate or update them accordingly
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9. Update URLs of existing TensorFlow binaries in the `tensorflow-core/tensorflow-core-native/scripts/dist_download` script
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10. Update URLs of TensorFlow-Text binaries used for testing in the `tensorflow-core/tensorflow-core-api/scripts/test_download` script
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#### Patching TensorFlow Sources
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‎README.md

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@@ -173,7 +173,7 @@ This table shows the mapping between TensorFlow, TensorFlow Java and minimum sup
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| 0.4.2 | 2.7.4 | 8 |
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| 0.5.0 | 2.10.1 | 11 |
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| 0.6.0-SNAPSHOT | 2.10.1 | 11 |
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| 1.0.0-SNAPSHOT | 2.15.0 | 11 |
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| 1.0.0-SNAPSHOT | 2.16.1 | 11 |
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## How to Contribute?
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‎pom.xml

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<junit.version>5.10.0</junit.version>
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<jmh.version>1.37</jmh.version>
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<versions-plugin.version>2.7</versions-plugin.version>
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<errorprone.version>2.10.0</errorprone.version>
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<errorprone.version>2.25.0</errorprone.version>
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<maven.javadoc.skip>true</maven.javadoc.skip>
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<maven.source.skip>true</maven.source.skip>
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<gpg.skip>true</gpg.skip>

‎tensorflow-core/tensorflow-core-api/scripts/test_download.sh

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@@ -5,10 +5,10 @@ DOWNLOAD_FOLDER="$1"
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case ${PLATFORM:-} in
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'linux-x86_64')
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TEXT_WHEEL_URL='https://files.pythonhosted.org/packages/20/a0/bdbf2a11141f1c93e572364d13c42537cfe811b747a0bbb58fdd904f3960/tensorflow_text-2.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl'
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TEXT_WHEEL_URL='https://files.pythonhosted.org/packages/c5/ef/5b8270e5665923bda4222f56382d9fbcb7fd6efd5fb8557ad0776848cdff/tensorflow_text-2.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl'
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;;
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'macosx-x86_64')
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TEXT_WHEEL_URL='https://files.pythonhosted.org/packages/8a/fe/a2f19d3d3ab834c3fa1007c970b0b86573beb929c86ca6c85cd13e86e4b2/tensorflow_text-2.15.0-cp311-cp311-macosx_10_9_x86_64.whl'
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TEXT_WHEEL_URL='https://files.pythonhosted.org/packages/ed/5d/b55f48cdf98a164d293f660748c2501ea828e148250a4cadbb5b0d988735/tensorflow_text-2.16.1-cp311-cp311-macosx_10_9_x86_64.whl'
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;;
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*)
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echo "TensorFlow Text distribution for ${PLATFORM} is not supported for download"

‎tensorflow-core/tensorflow-core-api/src/api/api_def_ComputeDedupDataSize.pbtxt

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op {
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graph_op_name: "ComputeDedupDataSize"
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visibility: VISIBLE
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endpoint {
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name: "tpu.ComputeDedupDataSize"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_ConvertToCooTensor.pbtxt

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op {
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graph_op_name: "ConvertToCooTensor"
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visibility: VISIBLE
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endpoint {
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name: "tpu.ConvertToCooTensor"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_DatasetFingerprint.pbtxt

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op {
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graph_op_name: "DatasetFingerprint"
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visibility: VISIBLE
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endpoint {
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name: "data.DatasetFingerprint"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_GetMinibatchSplitsWithPhysicalReplica.pbtxt

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op {
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graph_op_name: "GetMinibatchSplitsWithPhysicalReplica"
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visibility: VISIBLE
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endpoint {
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name: "tpu.GetMinibatchSplitsWithPhysicalReplica"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_GetMinibatchesInCsrWithPhysicalReplica.pbtxt

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op {
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graph_op_name: "GetMinibatchesInCsrWithPhysicalReplica"
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visibility: VISIBLE
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endpoint {
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name: "tpu.GetMinibatchesInCsrWithPhysicalReplica"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_GlobalIterId.pbtxt

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op {
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graph_op_name: "GlobalIterId"
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visibility: VISIBLE
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endpoint {
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name: "tpu.GlobalIterId"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_ListSnapshotChunksDataset.pbtxt

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op {
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graph_op_name: "ListSnapshotChunksDataset"
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visibility: VISIBLE
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endpoint {
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name: "data.ListSnapshotChunksDataset"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_StoreMinibatchStatisticsInFdo.pbtxt

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op {
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graph_op_name: "StoreMinibatchStatisticsInFdo"
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visibility: VISIBLE
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endpoint {
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name: "tpu.StoreMinibatchStatisticsInFdo"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_TPUAnnotateTensorsWithDynamicShape.pbtxt

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op {
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graph_op_name: "TPUAnnotateTensorsWithDynamicShape"
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visibility: VISIBLE
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endpoint {
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name: "tpu.TPUAnnotateTensorsWithDynamicShape"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_TPUCopyWithDynamicShape.pbtxt

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op {
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graph_op_name: "TPUCopyWithDynamicShape"
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visibility: VISIBLE
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endpoint {
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name: "tpu.TPUCopyWithDynamicShape"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseCoreAdagrad.pbtxt

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op {
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graph_op_name: "XlaSparseCoreAdagrad"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseCoreAdagrad"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseCoreAdagradMomentum.pbtxt

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op {
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graph_op_name: "XlaSparseCoreAdagradMomentum"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseCoreAdagradMomentum"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseCoreAdam.pbtxt

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op {
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graph_op_name: "XlaSparseCoreAdam"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseCoreAdam"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseCoreFtrl.pbtxt

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op {
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graph_op_name: "XlaSparseCoreFtrl"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseCoreFtrl"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseCoreSgd.pbtxt

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op {
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graph_op_name: "XlaSparseCoreSgd"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseCoreSgd"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseDenseMatmul.pbtxt

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op {
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graph_op_name: "XlaSparseDenseMatmul"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseDenseMatmul"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseDenseMatmulGradWithAdagradAndCsrInput.pbtxt

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op {
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graph_op_name: "XlaSparseDenseMatmulGradWithAdagradAndCsrInput"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.pbtxt

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op {
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graph_op_name: "XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseDenseMatmulGradWithAdamAndCsrInput.pbtxt

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op {
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graph_op_name: "XlaSparseDenseMatmulGradWithAdamAndCsrInput"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseDenseMatmulGradWithFtrlAndCsrInput.pbtxt

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op {
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graph_op_name: "XlaSparseDenseMatmulGradWithFtrlAndCsrInput"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseDenseMatmulGradWithSgdAndCsrInput.pbtxt

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op {
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graph_op_name: "XlaSparseDenseMatmulGradWithSgdAndCsrInput"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/api/api_def_XlaSparseDenseMatmulWithCsrInput.pbtxt

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op {
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graph_op_name: "XlaSparseDenseMatmulWithCsrInput"
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visibility: VISIBLE
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endpoint {
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name: "xla.XlaSparseDenseMatmulWithCsrInput"
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}
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}

‎tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/DataOps.java

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import org.tensorflow.op.data.ConcatenateDataset;
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import org.tensorflow.op.data.DataServiceDataset;
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import org.tensorflow.op.data.DatasetCardinality;
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import org.tensorflow.op.data.DatasetFingerprint;
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import org.tensorflow.op.data.DatasetFromGraph;
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import org.tensorflow.op.data.DatasetToGraph;
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import org.tensorflow.op.data.DatasetToSingleElement;
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import org.tensorflow.op.data.LMDBDataset;
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import org.tensorflow.op.data.LatencyStatsDataset;
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import org.tensorflow.op.data.LegacyParallelInterleaveDataset;
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import org.tensorflow.op.data.ListSnapshotChunksDataset;
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import org.tensorflow.op.data.LoadDataset;
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import org.tensorflow.op.data.MakeIterator;
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import org.tensorflow.op.data.MapAndBatchDataset;
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return DatasetCardinality.create(scope, inputDataset, options);
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}
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/**
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* Returns the fingerprint of {@code input_dataset}.
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* Returns the fingerprint of {@code input_dataset}.
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*
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* @param inputDataset A variant tensor representing the dataset to return fingerprint for.
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* @return a new instance of DatasetFingerprint
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*/
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public DatasetFingerprint datasetFingerprint(Operand<? extends TType> inputDataset) {
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return DatasetFingerprint.create(scope, inputDataset);
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}
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/**
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* Creates a dataset from the given {@code graph_def}.
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* Creates a dataset from the provided {@code graph_def}.
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return LegacyParallelInterleaveDataset.create(scope, inputDataset, otherArguments, cycleLength, blockLength, bufferOutputElements, prefetchInputElements, f, outputTypes, outputShapes, options);
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}
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/**
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* The ListSnapshotChunksDataset operation
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*
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* @param snapshotPath The snapshotPath value
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* @param outputTypes The value of the outputTypes attribute
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* @param outputShapes The value of the outputShapes attribute
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* @return a new instance of ListSnapshotChunksDataset
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*/
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public ListSnapshotChunksDataset listSnapshotChunksDataset(Operand<TString> snapshotPath,
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List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) {
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return ListSnapshotChunksDataset.create(scope, snapshotPath, outputTypes, outputShapes);
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}
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/**
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* The LoadDataset operation
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*

‎tensorflow-core/tensorflow-core-api/src/gen/annotations/org/tensorflow/op/Ops.java

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* must have {@code data[i].shape = indices[i].shape + constant}. In terms of this
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* {@code constant}, the output shape is
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* <pre>
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* merged.shape = [max(indices)] + constant
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* merged.shape = [max(indices) + 1] + constant
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* </pre>
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* <p>Values are merged in order, so if an index appears in both {@code indices[m][i]} and
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* {@code indices[n][j]} for {@code (m,i) < (n,j)} the slice {@code data[n][j]} will appear in the
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* </blockquote>
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*
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* @param <T> data type for {@code output} output
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* @param input 1-D or higher.
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* @param input Can be of any rank.
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* @param multiples 1-D. Length must be the same as the number of dimensions in {@code input}
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* @param <T> data type for {@code Tile} output and operands
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* @return a new instance of Tile

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