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tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize.mlir
// RUN: tf-quant-opt %s -split-input-file -quant-prepare-quantize | FileCheck %s module { func.func @same_scale_test(%arg0: tensor<*xf32>) -> tensor<*xf32> { %cst = arith.constant dense<[-1, 144]> : tensor<2xi32> %cst_1 = arith.constant dense<1.0> : tensor<144x10xf32> %cst_2 = arith.constant dense<0.1> : tensor<10xf32> %0 = "quantfork.qcast"(%arg0) : (tensor<*xf32>) -> tensor<*x!quant.uniform<i8:f32, 0.05:-10>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Dec 29 02:42:57 UTC 2022 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/saved_model/testdata/xla_launch_xla_reduce_window.mlir
%0 = "tf.AddV2"(%arg0, %arg1) {device = ""} : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32> func.return %0 : tensor<*xf32> } func.func @xla_func_0(%arg0: tensor<7xf32>, %arg1: tensor<f32>) -> tensor<10xf32> { %cst = "tf.Const"() {value = dense<0> : tensor<1x2xi32>} : () -> tensor<1x2xi32> %cst_0 = "tf.Const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<1xi32> %cst_1 = "tf.Const"() {value = dense<2> : tensor<1xi32>} : () -> tensor<1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/optimize_layout.mlir
func.func @commute_transpose_reduce_window( %input: tensor<1x114x114x64xf32>, %cst: tensor<f32>) -> tensor<1x64x56x56xf32> { %tpos = stablehlo.transpose %input, dims = [0, 3, 1, 2] : (tensor<1x114x114x64xf32>) -> tensor<1x64x114x114xf32> %ret = "stablehlo.reduce_window"(%tpos, %cst) <{window_dimensions = array<i64: 1, 1, 3, 3>, window_strides = array<i64: 1, 1, 2, 2>}> ({
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 21:59:06 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_fake_quant_to_qdq.mlir
// CHECK: func @doNotHandleNonEightBitFakeQuant // CHECK: tf.FakeQuantWithMinMaxArgs // CHECK-NOT: "quantfork.qcast" func.func @fakeQuantVars(%arg0: tensor<3xf32>, %arg1: tensor<4x3xf32>) -> (tensor<3xf32>, tensor<4x3xf32>) { %cst = "tf.Const"() {value = dense<-0.950868546> : tensor<f32>} : () -> tensor<f32> %cst_0 = "tf.Const"() {value = dense<9.951540e-01> : tensor<f32>} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 24 07:02:54 UTC 2022 - 2.3K bytes - Viewed (0) -
src/net/http/transport_test.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Jun 06 21:59:21 UTC 2024 - 192.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir
module { func.func @conv_with_single_layer(%arg0: tensor<1x2x2x3xf32>) -> (tensor<*xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 25.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/signature_def.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 4.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir
%cst = "tf.Const"() <{value = dense<[0, 1]> : tensor<2xi32>}> {device = ""} : () -> tensor<2xi32> %cst_0 = "tf.Const"() <{value = dense<1.000000e+01> : tensor<f32>}> {device = ""} : () -> tensor<f32> %0 = "tf.Sum"(%arg0, %cst) <{keep_dims = false}> {device = ""} : (tensor<1x4xf32>, tensor<2xi32>) -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 32.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tf_to_quant.cc
// the quantization parameters as a TypeAttr and "tfl.dequantize" op used to // convert the output type to the next op. Here are the transformations: // // input min cst max cst input min cst max cst // \ | | \ | | // \ (tf.Identity) (tf.Identity) => \ (tf.Identity) (tf.Identity) // \ | | \ | |
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/modify_io_nodes.mlir
func.func @modified(%arg0: tensor<1x224x224x3xf32>) -> tensor<1x401408xf32> attributes {tf.entry_function = {control_outputs = "", inputs = "input", outputs = "output"}} { %cst = arith.constant dense<[1, 401408]> : tensor<2xi32> %0 = "tfl.quantize"(%arg0) {qtype = tensor<1x224x224x3x!quant.uniform<i8:f32, 7.812500e-03>>} : (tensor<1x224x224x3xf32>) -> tensor<1x224x224x3x!quant.uniform<i8:f32, 7.812500e-03>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 19.9K bytes - Viewed (0)