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Results 1 - 2 of 2 for RFFT2D (0.08 sec)

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

    }
    
    // -----
    
    func.func @rfft2d(%arg0: tensor<10x20x10x30xf32>, %arg1: tensor<2xi32>) -> tensor<10x20x10x30xcomplex<f32>> {
      %0 = "tf.RFFT2D"(%arg0, %arg1) : (tensor<10x20x10x30xf32>, tensor<2xi32>) -> tensor<10x20x10x30xcomplex<f32>>
      func.return %0 : tensor<10x20x10x30xcomplex<f32>>
      // CHECK-LABEL: rfft2d
    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/ir/tfl_ops.td

      let hasCanonicalizer = 1;
    }
    
    def TFL_RFFT2dOp : TFL_Op<"rfft2d", [Pure]> {
      let summary = "2D real-valued fast Fourier transform.";
    
      let description = [{
    Computes the 2-dimensional discrete Fourier transform of a real-valued signal
    over the inner-most 2 dimensions of `input`.
    
    Since the DFT of a real signal is Hermitian-symmetric, `RFFT2D` only returns the
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 186K bytes
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