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Results 1 - 2 of 2 for 2x3xi1 (0.16 sec)

  1. tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir

    }
    
    func.func @addN(%arg0: tensor<2x3xi32>, %arg1: tensor<2x3xi32>, %arg2: tensor<2x3xi32>) -> tensor<2x3xi32> {
      %0 = "tf.AddN"(%arg0, %arg1, %arg2) : (tensor<2x3xi32>, tensor<2x3xi32>, tensor<2x3xi32>) -> tensor<2x3xi32>
      func.return %0 : tensor<2x3xi32>
    
    // CHECK-LABEL: addN
    // CHECK:  "tfl.add_n"(%arg0, %arg1, %arg2) : (tensor<2x3xi32>, tensor<2x3xi32>, tensor<2x3xi32>) -> tensor<2x3xi32>
    // CHECK:  return
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 05 01:54:33 UTC 2024
    - 153.4K bytes
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  2. tensorflow/compiler/mlir/lite/tests/ops.mlir

    // CHECK-LABEL: testAddWithI64Broadcasting
    func.func @testAddWithI64Broadcasting(tensor< 2x3xi64>, tensor<3xi64>) -> tensor<2x3xi64> {
    ^bb0(%arg0: tensor<2x3xi64>, %arg1: tensor<3xi64>):
      // CHECK: tfl.add(%arg0, %arg1)
      %0 = tfl.add(%arg0, %arg1) {fused_activation_function = "RELU6"} : (tensor< 2x3xi64>, tensor<3xi64>) -> tensor<2x3xi64>
      func.return %0#0 : tensor<2x3xi64>
    }
    
    // -----
    
    // CHECK-LABEL: add_with_i32_five_dim_broadcasting
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 189.2K bytes
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