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Results 1 - 2 of 2 for 4x256x36xf32 (0.27 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/decompose-hybrid-quantization.mlir 

      %2 = "tfl.fully_connected"(%arg0, %0, %1) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<4x256x6x6xf32>, tensor<36x36x!quant.uniform<i8:f32, 1.0>>, tensor<36x!quant.uniform<i32:f32, 1.0>>) -> tensor<4x256x36xf32>
  func.return %2 : tensor<4x256x36xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.1K bytes
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  3. github.com/tensorflow/tensorflow

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

      %cst_6 = arith.constant dense<[1, 0]> : tensor<2xi32>
  %2057 = "tfl.transpose"(%arg0, %cst_10) : (tensor<1x16x256xf32>, tensor<3xi32>) -> tensor<1x256x16xf32>
  %2058 = "tfl.reshape"(%2057, %cst_3) : (tensor<1x256x16xf32>, tensor<2xi32>) -> tensor<256x16xf32>
  %2059 = "tfl.transpose"(%2058, %cst_6) : (tensor<256x16xf32>, tensor<2xi32>) -> tensor<16x256xf32>
  return %2059: tensor<16x256xf32>
    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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