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Results 11 - 20 of 26 for nilcheck (0.3 sec)
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src/runtime/map.go
if !evacuated(b) { checkBucket = bucket } else { b = (*bmap)(add(it.buckets, bucket*uintptr(t.BucketSize))) checkBucket = noCheck } } else { b = (*bmap)(add(it.buckets, bucket*uintptr(t.BucketSize))) checkBucket = noCheck } bucket++ if bucket == bucketShift(it.B) { bucket = 0 it.wrapped = true } i = 0 } for ; i < abi.MapBucketCount; i++ {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 17:58:53 UTC 2024 - 57.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_resource_ops.mlir
// RUN: tf-opt %s -tf-device-decompose-resource-ops | FileCheck -check-prefixes=CHECK,ALWAYS-DECOMPOSE %s // RUN: tf-opt %s -tf-device-decompose-resource-ops-in-cluster | FileCheck -check-prefixes=CHECK,CLUSTER-ONLY %s // Tests different behavior of two passes if the op is outside cluster // tf-device-decompose-resource-ops would always decompose the resource op. // tf-device-decompose-resource-ops-in-cluster would not decompose ops outside
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 51.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composit_functions_debugging.mlir
// RUN: tf-quant-opt %s -split-input-file -quant-insert-quantized-functions -quant-quantize-composite-functions='target-opset=XLA' | FileCheck --check-prefix=XLA %s // RUN: tf-quant-opt %s -split-input-file -quant-insert-quantized-functions -quant-quantize-composite-functions='target-opset=XLA enable-per-channel-quantization=true' | FileCheck --check-prefix=XLA_PerChannel %s module {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 80.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir
// RUN: tac-opt-all-backends -tfl-raise-target-subgraphs %s -split-input-file | FileCheck %s // RUN: tac-opt-all-backends -tfl-raise-target-subgraphs="skip-raise-cpu-ops=true" %s -split-input-file | FileCheck %s --check-prefixes=CHECK-SKIP-CPU // RUN: tac-opt-all-backends -tfl-raise-target-subgraphs="ignore-inference-type=true" %s -split-input-file | FileCheck %s --check-prefixes=CHECK-IGNORE-INFERENCE-TYPE module { func.func @simpleWhile(%arg0: tensor<i32>) -> tensor<i32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 74.9K 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/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/tensorflow/tests/tpu_cluster_formation.mlir
// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-cluster-formation | FileCheck %s // Test ops in cluster only have `_replication_info` and `device` attributes // removed when moved to a `tf_device.cluster`. // CHECK-LABEL: func @cluster_ops_removed_attrs func.func @cluster_ops_removed_attrs() {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 53.9K 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/tensorflow/tests/tensor_array_ops_decomposition.mlir
// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tensor-array-ops-decomposition | FileCheck %s // Test read and write on a tensor list. // CHECK-LABEL: func @main func.func @main() -> tensor<3xf32> { %size = "tf.Const"() {value = dense<5> : tensor<i32>} : () -> tensor<i32> // CHECK: %[[BUFFER:.*]] = "tf.BroadcastTo" // CHECK-SAME: -> tensor<5x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 49K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/unroll-batch-matmul.mlir
// RUN: tf-opt -split-input-file -verify-diagnostics -tf-unroll-batch-matmul %s | FileCheck %s //==== V1 tests ==== func.func @batchMatMulTwoDim(%arg0: tensor<2x3x4x5xf32>, %arg1: tensor<2x3x5x6xf32>) -> tensor<2x3x4x6xf32> { %0 = "tf.BatchMatMul"(%arg0, %arg1) : (tensor<2x3x4x5xf32>, tensor<2x3x5x6xf32>) -> tensor<2x3x4x6xf32> func.return %0 : tensor<2x3x4x6xf32> // CHECK-LABEL: batchMatMulTwoDim
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:42:28 UTC 2023 - 63.7K bytes - Viewed (0)