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Results 1 - 2 of 2 for l2_normalization (0.22 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir 

      %1 = "tfl.l2_normalization"(%0) {fused_activation_function = "NONE"} : (tensor<1x6x6x16xf32>) -> tensor<1x6x6x16xf32>
  func.return %1 : tensor<1x6x6x16xf32>

// CHECK: %[[in:.*]] = "tfl.dequantize"(%arg0)
// CHECK: %[[l2:.*]] = "tfl.l2_normalization"(%[[in]])
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td 

      "$0.cast<DenseElementsAttr>().getValues<APFloat>()[0].isNegInfinity())">>;

def L2NormValidReduceIndex : Constraint<CPred<
  "L2NormalizeReduceAxis($0, $1.cast<DenseElementsAttr>())">>;

// Currently L2Normalization doesn't support activation function
// in TFLite.
// TODO(karimnosseir): Add constraints that the kernel code assumes.
// constraint on axis and depth.
multiclass L2NormalizePatterns<Op FirstOp, Op SecondOp> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
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