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Results 1 - 2 of 2 for 2x5xcomplex (0.12 sec)

  1. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-BatchMatMulV2.mlir

      func.return %0 : tensor<5x4xf32>
    }
    
    func.func @batchmatmulv2_adj_complex(%arg0: tensor<2x5xcomplex<f32>>, %arg1: tensor<4x2xcomplex<f32>>) -> tensor<5x4xcomplex<f32>> {
    // CHECK-LABEL:   func @batchmatmulv2_adj_complex(
    // CHECK-SAME:                                    [[LHS:%.*]]: tensor<2x5xcomplex<f32>>, [[RHS:%.*]]: tensor<4x2xcomplex<f32>>) -> tensor<5x4xcomplex<f32>> {
    // CHECK:           [[LHSRE:%.*]] = mhlo.real [[LHS]]
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 5.5K bytes
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  2. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-include-tf2xla-fallback.mlir

    func.func @mirror_pad(%arg0: tensor<2x3xcomplex<f64>>) -> tensor<4x7xcomplex<f64>> {
      %0 = mhlo.constant dense<[[1, 1], [2, 2]]> : tensor<2x2xi32>
      // NO_FALLBACK: tf.MirrorPad
      // SUPPORTED_FALLBACK_DEVICE-NOT: tf.MirrorPad
      // UNSPECIFIED_FALLBACK_DEVICE: tf.MirrorPad
      // UNSUPPORTED_FALLBACK_DEVICE: tf.MirrorPad
      %1 = "tf.MirrorPad"(%arg0, %0) {mode = "SYMMETRIC"} : (tensor<2x3xcomplex<f64>>, tensor<2x2xi32>) -> tensor<4x7xcomplex<f64>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Nov 16 19:04:03 UTC 2023
    - 3.2K bytes
    - Viewed (0)
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