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Results 1 - 1 of 1 for n_init_values (0.2 sec)

  1. tensorflow/compiler/mlir/tfr/python/tfr_gen.py

        # updated to these new ssa values before it enters the scope of the loop.
        out_types = []
        init_values = []
        for symbol, ssa_value in zip(loop_carried, ret_ssa_values):
          init, ty = self.symbol_table.lookup(symbol)
          self.symbol_table.insert_symbol(symbol, ssa_value, ty)
          out_types.append(str(ty))
          init_values.append((init, ty))
    
        # Create a new scope in case the local variables are leaked.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 27 15:27:03 UTC 2022
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