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