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Results 81 - 90 of 839 for nilcheck (0.12 sec)
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tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/noop.mlir
// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s func.func @main() { tf_executor.graph { tf_executor.island wraps "tf.NoOp"() {} : () -> () loc("noop") tf_executor.fetch } func.return } // CHECK: node { // CHECK-NEXT: name: "noop" // CHECK-NEXT: op: "NoOp" // CHECK-NEXT: experimental_debug_info { // CHECK-NEXT: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 370 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/missing-main.mlir
// RUN: not tf-mlir-translate -mlir-to-graphdef %s -o - 2>&1 | FileCheck %s // CHECK: entry function `main` must be present func.func @const() { tf_executor.graph { %0:2 = tf_executor.island wraps "tf.Const"() {device = "TPU:0", name = "const", dtype = "tfdtype$DT_INT32", value = dense<[1, 2]> : tensor<2xi32>} : () -> tensor<2xi32> tf_executor.fetch } func.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 384 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-multiple-while-body-func.mlir
// RUN: tf-opt %s -tf-replicated-clustering-bridge-v2 -tfrt-lower-cluster-to-runtime-ops-tpu 2>&1 | FileCheck %s // RUN: tf-opt %s -tf-replicated-clustering-bridge-v1 -tfrt-lower-cluster-to-runtime-ops-tpu -tf-dialect-to-executor-v1 2>&1 | FileCheck %s // This test verifies there is no warning about shape inference failure in TPU // bridge in handling multiple usage of the same function. // Since it is possible that this warning may become an error in the future,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 21:23:47 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/argument-sharding-invalid.mlir
// RUN: not tf-mlir-translate -mlir-tf-to-hlo-text %s -tf-input-shapes=128,10 -tf-xla-emit-use-tuple-args -tf-xla-emit-return-tuple 2>&1 | FileCheck %s module attributes {tf.versions = {producer = 179 : i32}} { func.func @main(%arg0: tensor<128x8xf32> {mhlo.sharding = "bad_sharding"}) { func.return } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 364 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/variable.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s // CHECK-LABEL: main func.func @main() -> tensor<3x2xi32> { // CHECK: "tfl.pseudo_const"() <{value = dense<0> : tensor<3x2xi32>}> {tfl.is_variable} : () -> tensor<3x2xi32> %0 = "tfl.pseudo_const"() {value = dense<0> : tensor<3x2xi32>, tfl.is_variable} : () -> tensor<3x2xi32> loc("variable") func.return %0 : tensor<3x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 470 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/multi-output-feeds.pbtxt
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-input-arrays=z:1,z:2 -tf-input-shapes=':' -tf-output-arrays=z:2,z:1,a:0 -o - | FileCheck --check-prefix=PRUNE %s
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 10 19:53:21 UTC 2020 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/tfxla_device_specific_transformations_cpu.mlir
// RUN: tf-opt "--tfxla-device-specific-transforms=device-type=XLA_CPU_JIT" -verify-diagnostics -split-input-file %s | FileCheck -dump-input=fail %s module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 1399 : i32}} { // CHECK-LABEL: stateless_op func.func @stateless_op() -> tensor<i32> { // CHECK: %cst = "tf.Const"() <{value = dense<1> : tensor<i32>}> : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 515 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/serialized-mlir-module-str-attr-invalid.mlir
// RUN: not tf-mlir-translate -mlir-tf-str-attr-to-mlir %s 2>&1 | FileCheck %s "builtin.totally @invalid MLIR module {here} <-"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 01 20:38:29 UTC 2021 - 220 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_side_effect.mlir
// RUN: tf-opt %s -tf-standard-pipeline | FileCheck %s // CHECK-LABEL: removeDeadReadVariableOp func.func @removeDeadReadVariableOp(%arg0: tensor<!tf_type.resource<tensor<f32>>>) -> tensor<f32> { %0 = "tf.ReadVariableOp"(%arg0) : (tensor<!tf_type.resource<tensor<f32>>>) -> tensor<f32> %1 = "tf.ReadVariableOp"(%arg0) : (tensor<!tf_type.resource<tensor<f32>>>) -> tensor<f32> func.return %0: tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 536 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/debuginfo/concrete_function_error.py
# limitations under the License. # ============================================================================== """Test file to display the error message and verify it with FileCheck.""" # RUN: %p/concrete_function_error | FileCheck %s import sys from absl import app import tensorflow.compat.v2 as tf if hasattr(tf, 'enable_v2_behavior'): tf.enable_v2_behavior()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 2.5K bytes - Viewed (0)