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Results 1 - 6 of 6 for 8x64xf32 (0.17 sec)

  1. tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir

            tensor<2x5xf32>, tensor<2x5xf32>, tensor<2x5xf32>, tensor<2x5xf32>,
            tensor<2x4xf32>, tensor<2x4xf32>, tensor<2x4xf32>, tensor<2x4xf32>,
            tensor<2xf32>, tensor<2xf32>, tensor<2xf32>,
            tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32>,
            tensor<4x2xf32>, tensor<4xf32>,
            tensor<1x4xf32>, tensor<1x2xf32>,
            none, none, none, none) -> tensor<*xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 52.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir

      %4 = "tf.MatMul"(%arg0, %3) {device = "", transpose_a = false, transpose_b = false} : (tensor<2x3xf32>, tensor<3x4xf32>) -> tensor<2x4xf32>
      %5 = "tf.Identity"(%4) {device = ""} : (tensor<2x4xf32>) -> tensor<2x4xf32>
      %6 = "tf.Identity"(%5) {device = ""} : (tensor<2x4xf32>) -> tensor<2x4xf32>
      func.return %6 : tensor<2x4xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 59.8K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir

      %4 = "tfl.concatenation"(%1, %3) {axis = -1 : i32, fused_activation_function = "NONE"} : (tensor<2x1xf32>, tensor<2x3xf32>) -> tensor<2x4xf32>
      %5 = "tfl.add"(%4, %arg2) {fused_activation_function = "NONE"} : (tensor<2x4xf32>, tensor<2x4xf32>) -> tensor<2x4xf32>
      func.return %5: tensor<2x4xf32>
    
    // MixedPrecision-NEXT: %[[q:.*]] = "tfl.quantize"(%arg0)
    // MixedPrecision-NEXT: %[[dq:.*]] = "tfl.dequantize"(%[[q]])
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 67.5K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir

    // CHECK-SAME: (%[[ARG0:.*]]: tensor<3x4xf32>)
    func.func @expm1(%arg0: tensor<3x4xf32>) -> tensor<3x4xf32> {
      %0 = "tf.Expm1"(%arg0) : (tensor<3x4xf32>) -> tensor<3x4xf32>
      func.return %0 : tensor<3x4xf32>
      // CHECK: %[[ONE:.*]] = "tf.Const"() <{value = dense<1.000000e+00> : tensor<f32>}> : () -> tensor<f32>
      // CHECK: %[[EXP:.*]] = "tf.Exp"(%[[ARG0]]) : (tensor<3x4xf32>) -> tensor<3x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 92K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir

        %13 = "tf.Mul"(%12, %cst_0) {device = ""} : (tensor<2x4xf32>, tensor<f32>) -> tensor<2x4xf32>
        %14 = "tf.Relu"(%13) {device = ""} : (tensor<2x4xf32>) -> tensor<2x4xf32>
        %15 = "tf.Minimum"(%14, %cst) {device = ""} : (tensor<2x4xf32>, tensor<f32>) -> tensor<2x4xf32>
        %16 = "tf.Identity"(%15) {device = ""} : (tensor<2x4xf32>) -> tensor<2x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 81K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md

      return
    }
    ```
    
    will be transformed to:
    
    ```mlir
    func @main(%arg0: tensor<8x4xf32>) {
      // EmptyTensorList lowering
      %emptyi = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32>
      %emptyf = "tf.Cast"(%emptyi) : (tensor<i32>) -> tensor<f32>
      %size_shape = "tf.Const"() {value = dense<[10, 8, 4]> : tensor<3xi32>} : () -> tensor<3xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Aug 02 02:26:39 UTC 2023
    - 96.4K bytes
    - Viewed (0)
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