Bump tensorflow from 2.0 to 2.9.3

[dependabot[bot]]

Bumps tensorflow from 2.0 to 2.9.3.

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.9.3

Release 2.9.3

This release introduces several vulnerability fixes:

• Fixes an overflow in tf.keras.losses.poisson (CVE-2022-41887)
• Fixes a heap OOB failure in ThreadUnsafeUnigramCandidateSampler caused by missing validation (CVE-2022-41880)
• Fixes a segfault in ndarray_tensor_bridge (CVE-2022-41884)
• Fixes an overflow in FusedResizeAndPadConv2D (CVE-2022-41885)
• Fixes a overflow in ImageProjectiveTransformV2 (CVE-2022-41886)
• Fixes an FPE in tf.image.generate_bounding_box_proposals on GPU (CVE-2022-41888)
• Fixes a segfault in pywrap_tfe_src caused by invalid attributes (CVE-2022-41889)
• Fixes a CHECK fail in BCast (CVE-2022-41890)
• Fixes a segfault in TensorListConcat (CVE-2022-41891)
• Fixes a CHECK_EQ fail in TensorListResize (CVE-2022-41893)
• Fixes an overflow in CONV_3D_TRANSPOSE on TFLite (CVE-2022-41894)
• Fixes a heap OOB in MirrorPadGrad (CVE-2022-41895)
• Fixes a crash in Mfcc (CVE-2022-41896)
• Fixes a heap OOB in FractionalMaxPoolGrad (CVE-2022-41897)
• Fixes a CHECK fail in SparseFillEmptyRowsGrad (CVE-2022-41898)
• Fixes a CHECK fail in SdcaOptimizer (CVE-2022-41899)
• Fixes a heap OOB in FractionalAvgPool and FractionalMaxPool(CVE-2022-41900)
• Fixes a CHECK_EQ in SparseMatrixNNZ (CVE-2022-41901)
• Fixes an OOB write in grappler (CVE-2022-41902)
• Fixes a overflow in ResizeNearestNeighborGrad (CVE-2022-41907)
• Fixes a CHECK fail in PyFunc (CVE-2022-41908)
• Fixes a segfault in CompositeTensorVariantToComponents (CVE-2022-41909)
• Fixes a invalid char to bool conversion in printing a tensor (CVE-2022-41911)
• Fixes a heap overflow in QuantizeAndDequantizeV2 (CVE-2022-41910)
• Fixes a CHECK failure in SobolSample via missing validation (CVE-2022-35935)
• Fixes a CHECK fail in TensorListScatter and TensorListScatterV2 in eager mode (CVE-2022-35935)

TensorFlow 2.9.2

Release 2.9.2

This releases introduces several vulnerability fixes:

• Fixes a CHECK failure in tf.reshape caused by overflows (CVE-2022-35934)
• Fixes a CHECK failure in SobolSample caused by missing validation (CVE-2022-35935)
• Fixes an OOB read in Gather_nd op in TF Lite (CVE-2022-35937)
• Fixes a CHECK failure in TensorListReserve caused by missing validation (CVE-2022-35960)
• Fixes an OOB write in Scatter_nd op in TF Lite (CVE-2022-35939)
• Fixes an integer overflow in RaggedRangeOp (CVE-2022-35940)
• Fixes a CHECK failure in AvgPoolOp (CVE-2022-35941)
• Fixes a CHECK failures in UnbatchGradOp (CVE-2022-35952)
• Fixes a segfault TFLite converter on per-channel quantized transposed convolutions (CVE-2022-36027)
• Fixes a CHECK failures in AvgPool3DGrad (CVE-2022-35959)
• Fixes a CHECK failures in FractionalAvgPoolGrad (CVE-2022-35963)
• Fixes a segfault in BlockLSTMGradV2 (CVE-2022-35964)
• Fixes a segfault in LowerBound and UpperBound (CVE-2022-35965)

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.12.0

Breaking Changes

• tf.function:

  • tf.function now uses the Python inspect library directly for parsing the signature of the Python function it is decorated on.
  • This can break certain cases that were previously ignored where the signature is malformed, e.g. * Using functools.wraps on a function with different signature * Using functools.partial with an invalid tf.function input

• tfconfig.experimental.enable_mlir_graph_optimization:

  • Experimental API removed.

• tfconfig.experimental.disable_mlir_graph_optimization:

  • Experimental API removed.

Known Caveats

Major Features and Improvements

• tf.math:

  • Added math_ops.segment_sum_v2 that takes num_segments as an additional input for efficient implementation with XLA.

• tf.lite:

  • Add 16-bit float type support for built-in op fill.
  • Transpose now supports 6D tensors.

• tf.keras:

  • Added utility tf.keras.utils.FeatureSpace, a one-stop shop for structured data preprocessing and encoding.
  • Added tf.SparseTensor input support to tf.keras.layers.Embedding layer. The layer now accepts a new boolean argument sparse. If sparse is set to True, the layer returns a SparseTensor instead of a dense Tensor. Defaults to False.

... (truncated)

Commits

• a5ed5f3 Merge pull request #58584 from tensorflow/vinila21-patch-2
• 258f9a1 Update py_func.cc
• cd27cfb Merge pull request #58580 from tensorflow-jenkins/version-numbers-2.9.3-24474
• 3e75385 Update version numbers to 2.9.3
• bc72c39 Merge pull request #58482 from tensorflow-jenkins/relnotes-2.9.3-25695
• 3506c90 Update RELEASE.md
• 8dcb48e Update RELEASE.md
• 4f34ec8 Merge pull request #58576 from pak-laura/c2.99f03a9d3bafe902c1e6beb105b2f2417...
• 6fc67e4 Replace CHECK with returning an InternalError on failing to create python tuple
• 5dbe90a Merge pull request #58570 from tensorflow/r2.9-7b174a0f2e4
• Additional commits viewable in compare view

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[dependabot[bot]]

Looks like tensorflow is no longer a dependency, so this is no longer needed.