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Results 41 - 50 of 57 for nilcheck (0.11 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions.mlir
// RUN: tf-quant-opt %s -split-input-file -quant-lift-quantizable-spots-as-functions | FileCheck %s // CHECK-LABEL: float_conv func.func @float_conv(%arg0: tensor<1x3x4x3xf32>, %arg1: tensor<2x3x3x2xf32>) -> (tensor<*xf32>, tensor<*xf32>, tensor<*xf32>) { %cst = "tf.Const"() {value = dense<0.000000e+00> : tensor<2xf32>} : () -> tensor<2xf32> %0 = "tf.Conv2D"(%arg0, %arg1) { data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 26.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// RUN: tf-opt -tfl-prepare-tf %s | FileCheck %s // RUN: tf-opt %s -tf-layout-optimization=force-data-format=NHWC -tfl-prepare-tf | FileCheck --check-prefix=LAYOUT --dump-input=always %s module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
// RUN: odml-to-stablehlo-opt -composite-lowering -verify-diagnostics %s | FileCheck %s func.func @hardswish(%arg0: tensor<2xf32>) -> (tensor<*xf32>) { %0 = mhlo.composite "aten.hardswish.default" %arg0 {decomposition = @XlaCallModule_aten.hardswish.default.impl_0} : (tensor<2xf32>) -> tensor<2xf32> %1 = "tf.Identity"(%0) {device = ""} : (tensor<2xf32>) -> tensor<*xf32> %2 = "tf.Identity"(%1) {device = ""} : (tensor<*xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir
// RUN: tf-opt -convert-tf-quant-types -quant-convert-tf-quant-ops-to-mhlo -canonicalize "-xla-legalize-tf=legalize-chlo=false" -split-input-file %s | FILECHECK_OPTS="" FileCheck %s //===----------------------------------------------------------------------===// // tf.UniformQuantizedDotHybrid legalization //===----------------------------------------------------------------------===// // CHECK-LABEL: func @quantized_matmul_fn
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 01:25:29 UTC 2024 - 37.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_same_scale.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-quantize -verify-each=false | FileCheck %s module attributes {tf_saved_model.semantics} { // CHECK-LABEL: same_scale_after_composite // CHECK-SAME: %[[ARG0:.*]]: tensor<1x2xf32> // CHECK-SAME: %[[ARG1:.*]]: tensor<2x3xf32> func.func private @same_scale_after_composite(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<3x1xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 35.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
// RUN: odml-to-stablehlo-opt --compose-uniform-quantized-type \ // RUN: --split-input-file --verify-diagnostics %s | FileCheck %s module { // CHECK-LABEL: quantized_conv_op // CHECK-SAME: %[[ARG:.*]]: tensor<1x3x3x4xf32> func.func @quantized_conv_op(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x3x3x4xf32> { %1 = stablehlo.constant dense<1.000000e+03> : tensor<1x1x1x1xf32> // Input inverse scale.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -verify-diagnostics \ // RUN: -stablehlo-quantize-composite-functions | FileCheck %s // RUN: stablehlo-quant-opt %s -split-input-file -verify-diagnostics \ // RUN: -stablehlo-quantize-composite-functions=enable-per-channel-quantized-weight=false | FileCheck --check-prefix=CHECK-PER-TENSOR %s // Tests that basic dot_general is properly quantized. module attributes {tf_saved_model.semantics} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 91.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-lift-quantizable-spots-as-functions | FileCheck %s // CHECK-LABEL: @conv_fn( // CHECK-SAME: %[[ARG_0:.*]]: tensor<1x3x3x4xf32> func.func @conv_fn(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x3x3x4xf32> { %0 = stablehlo.constant dense<2.000000e+00> : tensor<3x3x4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 49.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
// RUN: tf-opt %s -tfl-optimize | FileCheck %s // Run optimize pass and then canonicalize pass, and make sure some folding is applied. // RUN: tf-opt %s -tfl-optimize='enable-canonicalization=true' | FileCheck --check-prefix=FOLD %s // Run legalize pass and then optimize pass, and make sure some fusing is applied. // RUN: tf-opt %s -tfl-legalize-tf -tfl-optimize | FileCheck --check-prefix=Fusing %s
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
ChangeLog.md
- [`KT-64844`](https://youtrack.jetbrains.com/issue/KT-64844) [K/N] Filecheck test `redundant_safepoints.kt` fails under linux_x64 - [`KT-64877`](https://youtrack.jetbrains.com/issue/KT-64877) K2: PCLA doesn't allow infer types from value parameter having TV type
Registered: Wed Jun 12 09:53:16 UTC 2024 - Last Modified: Mon May 27 17:14:23 UTC 2024 - 292.1K bytes - Viewed (0)