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Results 1 - 3 of 3 for 1x128xf32 (0.18 sec)

  2. github.com/tensorflow/tensorflow

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

      %1 = "tfl.sqrt"(%0) : (tensor<1x1xf32>) -> tensor<1x1xf32>
  %2 = "tfl.tile"(%1, %cst_1) : (tensor<1x1xf32>, tensor<2xi32>) -> tensor<1x128xf32>
  %3 = "tfl.div"(%2, %arg1) {fused_activation_function = "NONE"} : (tensor<1x128xf32>, tensor<1x128xf32>) -> tensor<1x128xf32>
  func.return %3 : tensor<1x128xf32>
    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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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir 

    // CHECK:           %[[VAL_6:.*]] = "tf.Slice"(%[[VAL_3]], %[[VAL_4]], %[[VAL_5]]) : (tensor<8x129xf32>, tensor<2xi64>, tensor<2xi64>) -> tensor<7x128xf32>
// CHECK:           return %[[VAL_6]] : tensor<7x128xf32>
// CHECK:         }
func.func @convert_pad_negative_amount(%arg0: tensor<8x128xf32>, %arg1: tensor<f32>) -> tensor<7x128xf32> {
  %0 = "mhlo.pad"(%arg0, %arg1) {
    edge_padding_low = dense<[0, -1]> : tensor<2xi64>,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 340.2K bytes
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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir 

      // CHECK-DAG: %[[SEL:.*]] = mhlo.select %[[COMP]], %[[RS]], %[[ZERO_MAT]] : tensor<12x12xi1>, tensor<12x12xf32>
  // CHECK-DAG: %[[RED:.*]] = mhlo.reduce(%[[SEL]] init: %[[ZERO]]) applies mhlo.add across dimensions = [0] : (tensor<12x12xf32>, tensor<f32>) -> tensor<12xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
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