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Results 1 - 4 of 4 for RSQRT (0.03 sec)

  2. github.com/tensorflow/tensorflow

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

    //              rsqrt(variance + epsilon)
// CHECK:  %[[RSQRT:.*]] = "tf.Rsqrt"(%[[ADD1]])
//              scale * rsqrt(variance + epsilon)
// CHECK:  %[[MUL1:.*]] = "tf.Mul"(%[[ARG1:.*]], %[[RSQRT]])
//              x * scale * rsqrt(variance + epsilon)
// CHECK:  %[[MUL2:.*]] = "tf.Mul"(%[[ARG0:.*]], %[[MUL1]])
//              mean * scale * rsqrt(variance + epsilon)
    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. github.com/tensorflow/tensorflow

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

    // TODO(karimnosseir): Add constraints that the kernel code assumes.
// constraint on axis and depth.
multiclass L2NormalizePatterns<Op FirstOp, Op SecondOp> {
  // This pattern constructs L2NormalizationOp from
  // Mul->Rsqrt->Sum->Square Or
  // Div->sqrt->Sum->Square
  def L2NormalizePattern1#FirstOp#SecondOp : Pat<
                  (FirstOp $x,
                     (SecondOp
                        (TFL_SumOp
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 66.4K bytes
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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/decompose_resource_ops.mlir 

        // CHECK-DAG: %[[ACCUM_NEW:.*]] = "tf.AddV2"(%[[ACCUM]], %[[GRAD_SQ]]) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>
    // CHECK-DAG: %[[RSQRT_ACCUM:.*]] = "tf.Rsqrt"(%[[ACCUM_NEW]]) : (tensor<4xf32>) -> tensor<4xf32>
    // CHECK-DAG: %[[ADAGRAD_LR:.*]] = "tf.Mul"(%[[LR]], %[[RSQRT_ACCUM]]) : (tensor<f32>, tensor<4xf32>) -> tensor<4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 22 19:47:48 UTC 2024
    - 51.3K bytes
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc 

      explicit FusedBatchNormV3Pat(::mlir::MLIRContext *context)
      : ::mlir::RewritePattern(
            "tf.FusedBatchNormV3", 1, context,
            {"tf.Add", "tf.Const", "tf.Mul", "tf.Rsqrt", "tf.Sub"}) {}

  ::mlir::LogicalResult matchAndRewrite(
      ::mlir::Operation *fused_batch_norm,
      ::mlir::PatternRewriter &rewriter) const override {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 28 21:49:50 UTC 2024
    - 64.6K bytes
    - Viewed (0)
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