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Results 1 - 2 of 2 for 1x256x16xf32 (0.15 sec)

  1. 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>
      // CHECK-DAG: %cst = arith.constant dense<[16, 256]> : tensor<2xi32>
    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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  2. tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir

    // CHECK:           %[[VAL_2:.*]] = "tf.Conv2D"(%[[VAL_0]], %[[VAL_1]]) <{data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "VALID", strides = [1, 1, 1, 1], use_cudnn_on_gpu = true}> : (tensor<1x8x8x207xf32>, tensor<3x3x207x16xf32>) -> tensor<1x6x6x16xf32>
    // CHECK:           return %[[VAL_2]] : tensor<1x6x6x16xf32>
    // CHECK:         }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
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