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Results 11 - 14 of 14 for allow_soft_placement (0.7 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/graph_pruning_preserve_ops.mlir

        // CHECK: "tf.NoOp"
        %1 = tf_executor.island wraps "tf.NoOp"() : () -> ()
        // CHECK: "tf.TPUReplicateMetadata"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 28 12:06:33 UTC 2022
    - 3.2K bytes
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  2. tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_tpu_model_to_cpu.mlir

      %0 = "tf.Cast"(%arg0) {Truncate = false, device = ""} : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3xbf16>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 4.3K bytes
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  3. tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-as-function.pbtxt

    # CHECK-SAME: _xla_compile_device_type = "GPU"
    # CHECK-SAME: allow_soft_placement
    # CHECK-SAME: control_outputs = ""
    # CHECK-SAME: inputs = "args_0,args_1,args_2,args_3"
    # CHECK-SAME: outputs = "rets_0,rets_1"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 24 00:18:34 UTC 2023
    - 5K bytes
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  4. tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.h

    // Whether soft placement is allowed. If true, the marked node is eligible for
    // outside compilation.
    inline constexpr llvm::StringRef kAllowSoftPlacementAttr =
        "allow_soft_placement";
    
    // Marks a node for XLA compilation. The attribute value indicates the
    // compilation device type.
    inline constexpr llvm::StringRef kCompileDeviceTypeAttr =
        "_xla_compile_device_type";
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 22 19:47:48 UTC 2024
    - 8.7K bytes
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