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Results 1 - 2 of 2 for 4x958x1x128xf32 (0.17 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/dilated-conv.mlir 

      %8 = "tf.Squeeze"(%7) {device = "", squeeze_dims = [2]} : (tensor<4x958x1x128xf32>) -> tensor<4x958x128xf32>
  %9 = "tf.Pad"(%8, %0) {device = ""} : (tensor<4x958x128xf32>, tensor<3x2xi32>) -> tensor<4x960x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 44.7K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/optimize.mlir 

      %cst_3 = arith.constant dense<[2, 3, 0, 1]> : tensor<4xi32>
  %0 = "tfl.transpose"(%arg0, %cst_3) : (tensor<1x128x4x256xf32>, tensor<4xi32>) -> tensor<4x256x1x128xf32>
  %1 = "tfl.reshape"(%0, %cst_2) : (tensor<4x256x1x128xf32>, tensor<2xi32>) -> tensor<1024x128xf32>
  // CHECK: %[[RESHAE_ARG0:.*]] = "tfl.reshape"(%arg0, %[[CST:.*]]) : (tensor<1x128x4x256xf32>, tensor<3xi32>) -> tensor<1x128x1024xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
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