fix(array_ops): align eager and compiled graph behavior for single tensor tf.stack - #125381
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fix(array_ops): align eager and compiled graph behavior for single tensor tf.stack#125381SparshGarg999 wants to merge 2 commits into
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This pull request modifies tensorflow/python/ops/array_ops_stack.py to wrap a single Tensor or CompositeTensor in a list when passed to tf.stack. The reviewer noted that the type check using isinstance does not account for tf.Variable objects (such as ResourceVariable), which are common tensor-like objects. They suggested using ops.is_tensor(values) instead to ensure robust handling of both Tensor and Variable objects.
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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Fixes #125374
Description
Calling
tf.stackwith a single bareTensor(rather than a list or tuple of tensors) currently behaves inconsistently across execution modes. Under eager execution,tf.stacksilently returns the singleTensorunstacked, whereas underjit_compile=Trueor autoclustering, it raises aTypeErrorfrom the underlyingPackop.Fix
Updated
tf.stackintensorflow/python/ops/array_ops_stack.pyto check ifvaluesis an instance ofTensororCompositeTensorand normalize it into a list[values]prior to graph/op construction, ensuring consistent stacking behavior across both eager and compiled graph execution paths.