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Results 1 - 9 of 9 for l2_normalization (0.23 sec)
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tensorflow/compiler/mlir/lite/tests/get-arithmetic-count.mlir
func.return %0 : tensor<1x64x84x32xf32> } func.func @testL2Norm(%arg0: tensor<10x10xf32>) -> tensor<10x10xf32> { // CHECK: _arithmetic_count = 300 : i64 %0 = "tfl.l2_normalization"(%arg0) {fused_activation_function = "NONE"} : (tensor<10x10xf32>) -> tensor<10x10xf32> func.return %0 : tensor<10x10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 04:58:17 UTC 2022 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir
%0 = "quantfork.stats"(%arg0) {layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>} : (tensor<1x1xf32>) -> tensor<1x1xf32> %1 = "tfl.l2_normalization"(%0) {fused_activation_function = "NONE"} : (tensor<1x1xf32>) -> tensor<1x1xf32> %2 = "quantfork.stats"(%1) {layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>} : (tensor<1x1xf32>) -> tensor<1x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 26.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
CONCATENATION = 2, CONV_2D = 3, DEPTHWISE_CONV_2D = 4, DEPTH_TO_SPACE = 5, DEQUANTIZE = 6, EMBEDDING_LOOKUP = 7, FLOOR = 8, FULLY_CONNECTED = 9, HASHTABLE_LOOKUP = 10, L2_NORMALIZATION = 11, L2_POOL_2D = 12, LOCAL_RESPONSE_NORMALIZATION = 13, LOGISTIC = 14, LSH_PROJECTION = 15, LSTM = 16, MAX_POOL_2D = 17, MUL = 18, RELU = 19,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 14:28:27 UTC 2024 - 30K bytes - Viewed (0) -
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 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema.fbs
CONCATENATION = 2, CONV_2D = 3, DEPTHWISE_CONV_2D = 4, DEPTH_TO_SPACE = 5, DEQUANTIZE = 6, EMBEDDING_LOOKUP = 7, FLOOR = 8, FULLY_CONNECTED = 9, HASHTABLE_LOOKUP = 10, L2_NORMALIZATION = 11, L2_POOL_2D = 12, LOCAL_RESPONSE_NORMALIZATION = 13, LOGISTIC = 14, LSH_PROJECTION = 15, LSTM = 16, MAX_POOL_2D = 17, MUL = 18, RELU = 19,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
%3 = "tfl.mul"(%arg0, %2) {fused_activation_function = "NONE"} : (tensor<2xf32>, tensor<f32>) -> tensor<2xf32> func.return %3: tensor<2xf32> // CHECK: %[[RES:[0-9].*]] = "tfl.l2_normalization"([[INPUT:%.*]]) <{fused_activation_function = "NONE"}> : (tensor<2xf32>) -> tensor<2xf32> // CHECK: return %[[RES]] } // CHECK-LABEL: @L2NormalizePattern1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let hasOptions = 0; } def TFL_L2NormalizationOp : TFL_Op<"l2_normalization", [Pure, FixedOutputRangeInterface, QuantizableResult, DeclareOpInterfaceMethods<TFL_ArithmeticCount>]> { let summary = "L2 Normalize Operator"; let description = [{ L2Normalization Op }]; let arguments = (ins TFL_TensorOf<[F32, QUI8, QI8, QUI16, QI16, I8]>:$input,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
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 - 66.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
"CONV_2D", "DEPTHWISE_CONV_2D", "DEPTH_TO_SPACE", "DEQUANTIZE", "EMBEDDING_LOOKUP", "FLOOR", "FULLY_CONNECTED", "HASHTABLE_LOOKUP", "L2_NORMALIZATION", "L2_POOL_2D", "LOCAL_RESPONSE_NORMALIZATION", "LOGISTIC", "LSH_PROJECTION", "LSTM", "MAX_POOL_2D", "MUL", "RELU", "RELU_N1_TO_1", "RELU6",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0)