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tensorflow/compiler/mlir/lite/ir/tfl_ops.td
QuantizableResult, PredOpTrait<"input and output must have same element type", TFL_TCresVTEtIsSameAsOp<0, 0>>]> { let summary = "Hardswish activation function."; let description = [{ Computes hard-swish activation function f(x) -> (x * relu6(x+3))/6 element-wise. }]; let arguments = (ins TFL_TensorOf<[F32, QUI8, QI8]>:$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/tensorflow/tests/fused_kernel_matcher.mlir
// RUN: tf-opt %s -tf-fused-kernel-matcher | FileCheck %s //===----------------------------------------------------------------------===// // Conv2D + BiasAdd + <Activation> fusions. //===----------------------------------------------------------------------===// // CHECK-LABEL: conv2DBiasAdd_noActivation func.func @conv2DBiasAdd_noActivation(%arg0: tensor<128xf32>, %arg1: tensor<1x1x3x128xf32>, %arg2: tensor<8x32x32x3xf32>) -> (tensor<*xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.td
Option<"quantize_signed_", "quantize-signed", "bool", "false", "signed inference type. Only used in tests">, Option<"activation_number_of_bits_", "activation-number-of-bits", "int", "8", "number of bits for inference type. Only used in tests">, Option<"post_training_quantize_", "post-training-quantize", "bool", "false",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 22.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir
// RUN: tf-opt %s -tfl-prepare-quantize="quantize-signed=true post-training-quantize=true activation-number-of-bits=16" -cse | FileCheck %s // CHECK-LABEL: QuantizeUnidirectionalLstmFullPerTensor func.func @QuantizeUnidirectionalLstmFullPerTensor(%arg0: tensor<1x2x3xf32>) -> (tensor<1x2x3xf32>) { %input = "quantfork.stats"(%arg0) {layerStats = dense<[0.0, 1.0]> : tensor<2xf32>} : (tensor<1x2x3xf32>) -> tensor<1x2x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 26.1K bytes - Viewed (0)