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Results 1 - 2 of 2 for 256x9x7x16xf32 (0.31 sec)

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

    module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} {
    
    func.func @conv(tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>, tensor<256x3x32x32xf32>) -> (tensor<256x8x7x16xf32>, tensor<256x16x32x32xf32>, tensor<256x8x6x16xf32>, tensor<256x32x32x16xf32>, tensor<256x32x32x16xf32>) {
    ^bb0(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<3x3x3x16xf32>, %arg2: tensor<256x3x32x32xf32>) :
       // OK
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 59.8K bytes
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  2. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %1 = "tfl.add"(%0, %cst) {fused_activation_function = "NONE"} : (tensor<256x8x7x16xf32>, tensor<16xf32>) -> tensor<256x8x7x16xf32>
      %2 = "tfl.add"(%0, %cst_1) {fused_activation_function = "NONE"} : (tensor<256x8x7x16xf32>, tensor<16xf32>) -> tensor<256x8x7x16xf32>
      func.return %1, %2 : tensor<256x8x7x16xf32>, tensor<256x8x7x16xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
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