[SOT] Place dynamic shape tensor on CPU

[SigureMo]

PR Category

Execute Infrastructure

PR Types

Performance

Description

避免将 dynamic shape Tensor 在 Program 开始前 move 到 GPU 上，从而导致静态图部分反复 memcpy 回 CPU

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[Copilot]

Pull Request Overview

This PR optimizes performance by preventing dynamic shape tensors from being unnecessarily moved to GPU at program initialization, avoiding repeated memory copies back to CPU during static graph execution. This is a performance improvement specifically for the SOT (Symbol Operator Tracing) module.

• Changed SymbolicVariable tensor creation to use fill_constant with force_cpu=True instead of paddle.full
• Added heuristic function maybe_dynamic_shape_tensor to identify likely dynamic shape tensors
• Modified _prepare_inputs to skip GPU placement for identified dynamic shape tensors

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 5 comments.

File	Description
python/paddle/jit/sot/opcode_translator/executor/function_graph.py	Refactored symbolic variable tensor creation to use fill_constant with force_cpu=True flag
python/paddle/jit/dy2static/utils.py	Added heuristic function to detect potential dynamic shape tensors
python/paddle/jit/dy2static/pir_partial_program.py	Integrated dynamic shape tensor detection to skip GPU placement during input preparation

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[codecov-commenter]

Codecov Report

❌ Patch coverage is 80.00000% with 3 lines in your changes missing coverage. Please review.
⚠️ Please upload report for BASE (develop@bf887b7). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
python/paddle/jit/dy2static/utils.py	75.00%	3 Missing ⚠️

❌ Your patch status has failed because the patch coverage (80.00%) is below the target coverage (90.00%). You can increase the patch coverage or adjust the target coverage.

Additional details and impacted files

@@            Coverage Diff             @@
##             develop   #76416   +/-   ##
==========================================
  Coverage           ?   80.00%           
==========================================
  Files              ?        2           
  Lines              ?       15           
  Branches           ?        0           
==========================================
  Hits               ?       12           
  Misses             ?        3           
  Partials           ?        0           

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