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Results 1 - 2 of 2 for TakeDataset (0.12 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir

        %cst = arith.constant dense<30> : tensor<i64>
        %cst_1 = arith.constant dense<-1> : tensor<i64>
        %cst_2 = arith.constant dense<165000> : tensor<i64>
        %0 = "tf.TakeDataset"(%arg0, %cst) {device = "", metadata = "", output_shapes = [#tf_type.shape<>], output_types = [!tf_type.string]} : (tensor<!tf_type.variant>, tensor<i64>) -> tensor<!tf_type.variant>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 23 17:24:10 UTC 2024
    - 167.4K bytes
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  2. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

      }];
    
      let arguments = (ins);
    
      let results = (outs
        TF_Int32Tensor:$device_ordinal
      );
    }
    
    def TF_TakeDatasetOp : TF_Op<"TakeDataset", [Pure]> {
      let summary = [{
    Creates a dataset that contains `count` elements from the `input_dataset`.
      }];
    
      let arguments = (ins
        TF_VariantTensor:$input_dataset,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
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