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Results 11 - 13 of 13 for broadcast_args (0.17 sec)

  1. tensorflow/compiler/jit/mark_for_compilation_pass.cc

         {"ApproxTopK", "BroadcastTo", "ExpandDims", "Fill", "NoOp",
          "Range", "Rank", "Reshape", "Shape", "ShapeN", "Size", "Squeeze",
          "Transpose", "ZerosLike", "OnesLike", "BiasAdd" /*PW + Broadcast*/,
          "BroadcastArgs", "BroadcastGradientArgs", "OneHot", "Concat", "ConcatV2",
          "ConcatOffset", "Const", "MirrorPad", "MirrorPadGrad", "Pack", "Pad",
          "PadV2", "Reverse", "ReverseV2", "ReverseSequence", "Slice", "Split",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 12:19:41 UTC 2024
    - 85.3K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/ir/tfl_ops.cc

      // maximum rank.
      if (max_rank <= max_bcast_rank) {
        return true;
      }
    
      // Checks if all operands are broadcasted by BroadcastTo ops with the shape
      // is calculated from the same BroadcastArgs op. In such case, all operands
      // will have the same shape.
      Operation* broadcast_args_pivot = nullptr;
      for (unsigned index : indices) {
        Operation* parent_broadcast_args =
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 169.2K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

      );
    
      TF_DerivedOperandSizeAttr num_features = TF_DerivedOperandSizeAttr<0>;
    }
    
    def TF_BroadcastArgsOp : TF_Op<"BroadcastArgs", [Pure]> {
      let summary = "Return the shape of s0 op s1 with broadcast.";
    
      let description = [{
    Given `s0` and `s1`, tensors that represent shapes, compute `r0`, the
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
    - Viewed (0)
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