Fixing dtype issue

[buildwithsuhana]

This PR fixes the dtype error causing the failure if CLIPBackboneTest.test_backbone_basics. The test gave a value error saying:
ValueError: Incompatible type conversion requested to type int32 for `tf.Variable of type int64.

[gemini-code-assist]

Summary of Changes

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This pull request addresses a ValueError related to incompatible data types (int32 vs int64) that was causing a test failure in CLIPBackboneTest.test_backbone_basics. The fix involves explicitly casting integer operands to float32 before performing division and logarithm operations within the _make_log_bucket_position function of the DeBERTaV3 model's disentangled self-attention mechanism, ensuring correct floating-point arithmetic and preventing type conversion errors.

Highlights

• Data Type Correction: Explicitly cast abs_pos, mid, and self.max_position_embeddings - 1 to float32 before division and logarithm operations in _get_log_pos function.
• Error Resolution: Resolves a ValueError related to incompatible int32 and int64 types during tf.Variable conversion, which was causing CLIPBackboneTest.test_backbone_basics to fail.

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[gemini-code-assist]

Code Review

This pull request fixes a dtype error in DisentangledSelfAttention by explicitly casting integer tensors to float32 before division and logarithm operations. The fix is correct and addresses the issue. I've added one suggestion to refactor the updated function slightly for improved readability and to avoid a redundant operation.