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tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
// shaped. Otherwise, it will have a dynamic dimension. static RankedTensorType GetExtentsTensorTypeFor(TensorType value_type) { Builder b(value_type.getContext()); int64_t dim = value_type.hasRank() ? value_type.getRank() : -1; return tensorflow::GetTypeFromTFTensorShape({dim}, b.getIndexType()); } // Given a value (broadcast_to) and a feature dimension, broadcasts a 1D
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