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Results 1 - 2 of 2 for Platen (0.09 sec)

  1. tensorflow/compiler/mlir/lite/tf_tfl_passes.cc

      // Add inline pass.
      pass_manager.addPass(mlir::createInlinerPass());
    
      // Expands mhlo.tuple ops.
      pass_manager.addPass(
          mlir::mhlo::createExpandHloTuplesPass(entry_function_name.str()));
      // Flatten tuples for control flows.
      pass_manager.addNestedPass<mlir::func::FuncOp>(
          mlir::mhlo::createFlattenTuplePass());
    
      mlir::odml::AddMhloOptimizationPasses(
          pass_manager,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 18:45:51 UTC 2024
    - 25.5K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc

        Value n_plus_y = rewriter.create<AddOp>(loc, iotaN, y);
    
        // GatherOp is happy about letting us index out of bounds values, but those
        // values will be undefined. So we mask them later. Set up the boolean
        // expression that tells us which entries, in the output shape, are out of
        // bounds and thus become the padding_value.
        Value x_in_bounds = rewriter.create<AndOp>(
            loc,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 20:00:43 UTC 2024
    - 291.8K bytes
    - Viewed (0)
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