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Results 101 - 110 of 170 for nilcheck (0.15 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/tpu_reorder_replicate_and_partitioned_inputs.mlir

    // RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-reorder-replicate-partitioned-inputs | FileCheck %s
    
    // CHECK-LABEL:func @simple
    // CHECK-SAME: ([[ARG0:%.*]]: tensor<!tf_type.resource<tensor<10x3xf32>>>, [[ARG1:%.*]]: tensor<!tf_type.resource<tensor<10x3xf32>>>, [[ARG2:%.*]]: tensor<!tf_type.resource<tensor<10x3xf32>>>, [[ARG3:%.*]]: tensor<!tf_type.resource<tensor<10x3xf32>>>)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 24 23:08:55 UTC 2023
    - 14.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_main_function.mlir

    // RUN: tf-quant-opt %s -quant-insert-main-function -mlir-disable-threading \
    // RUN:     -allow-unregistered-dialect -split-input-file | FileCheck %s
    
    // CHECK-LABEL: module attributes {tf.versions = {producer = 930 : i32}, tf_saved_model.semantics, tfl.description = "MLIR Converted.", tfl.schema_version = 3 : i32}  {
    module attributes {tf.versions = {producer = 930 : i32}, tf_saved_model.semantics, tfl.description = "MLIR Converted.", tfl.schema_version = 3 : i32}  {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Oct 31 08:49:35 UTC 2023
    - 15.4K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/transforms/prepare_quantize.cc

      // LSTM's restrict_scale requirement should be handled before converting stats
      // to Q-DQ ops. The pattern is applied for non-PTQ case to make op ordering
      // consistent. Otherwise some FileCheck tests would fail.
      RewritePatternSet patterns_1(&getContext());
      if (quant_specs_.post_training_quantization) {
        patterns_1.add<PrepareLstmOutputScale<LSTMOp>>(ctx);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 17.6K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tensorflow/tests/resource-device-inference.mlir

    // RUN: tf-opt -split-input-file -verify-diagnostics -tf-resource-device-inference %s | FileCheck %s
    
    !tf_res = tensor<*x!tf_type.resource<tensor<32xf32>>>
    
    // Tests that the pass can correctly propagate device attributes inside the same
    // function.
    
    // CHECK-LABEL: func @propagate_in_function
    func.func @propagate_in_function(
      %arg0: !tf_res {tf.device = "/TPU:0"},
      %arg1: !tf_res {tf.device = "/TPU:1"}) {
      tf_executor.graph {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 17 16:01:45 UTC 2022
    - 18.2K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/merge-fusion-with-dequantize.mlir

    // RUN: stablehlo-quant-opt %s -stablehlo-merge-fusion-with-dequantize -split-input-file -verify-diagnostics | FileCheck %s
    
    // Merge fusion with dequantize for relu case.
    
    module attributes {tf_saved_model.semantics} {
      // CHECK-LABEL: func.func private @merge_relu_fusion
      func.func private @merge_relu_fusion(%arg0: tensor<1x4xf32>) -> tensor<1x3xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 04 23:45:53 UTC 2024
    - 14K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-collective.mlir

    // RUN: tf-opt -split-input-file -verify-diagnostics -xla-legalize-tf-collective -xla-legalize-tf %s | FileCheck %s
    
    
    // CHECK: module attributes
    // CHECK-SAME{LITERAL}: tf2xla.collective_info.group_key = 0
    // CHECK-SAME{LITERAL}: tf2xla.collective_info.group_size = 2
    // CHECK-LABEL: func @all_reduce_cross_replica
    func.func @all_reduce_cross_replica(%input: tensor<f32>) -> tensor<f32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 15.6K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tensorflow/tests/executor_canonicalize.mlir

    // RUN: tf-opt %s -pass-pipeline='builtin.module(func.func(canonicalize))' | FileCheck %s
    
    
    // Test single graph with no outputs and one island is folded away.
    // CHECK-LABEL: func @graph_with_no_outputs
    // CHECK-SAME: (%[[ARG_0:[a-z0-9]*]]: tensor<i1>)
    func.func @graph_with_no_outputs(%arg0 : tensor<i1>) {
      tf_executor.graph {
        %1:2 = tf_executor.island {
          %3 = "tf.opA"(%arg0) : (tensor<i1>) -> tensor<i1>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Nov 04 14:07:37 UTC 2022
    - 13.6K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tensorflow/tests/cluster_formation.mlir

    // RUN: tf-opt %s -split-input-file -tf-device-cluster-formation | FileCheck %s
    
    // Simple case, single device cluster.
    
    module {
      // CHECK-LABEL: func @singlecluster
      // CHECK-SAME: (%[[ARG_0:[a-z0-9]*]]: tensor<?xi32>)
      func.func @singlecluster(%arg0: tensor<?xi32>) -> tensor<?xi32> {
        // CHECK: %[[A_OUTPUT:[0-9]*]] = "tf.A"(%[[ARG_0]])
        %2 = "tf.A"(%arg0) : (tensor<?xi32>) -> tensor<?xi32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Oct 31 08:59:10 UTC 2023
    - 14.9K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tensorflow/tests/replicate_to_island.mlir

    // RUN: tf-opt -split-input-file -verify-diagnostics %s -tf-replicate-to-island=legacy-graph-export=false | FileCheck %s
    
    // Tests per replica island has same control operands as island holding
    // replicate.
    // CHECK-LABEL: func @controls_per_replica
    func.func @controls_per_replica() {
      tf_executor.graph {
        %1 = tf_executor.ControlTrigger {}
        %2 = tf_executor.ControlTrigger {}
        %3 = tf_executor.island(%1, %2) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Oct 31 08:59:10 UTC 2023
    - 15.1K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tensorflow/tests/tpu_validate_inputs.mlir

    // RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-validate-inputs | FileCheck %s
    
    // CHECK-LABEL: func @num_replicas_replicated
    func.func @num_replicas_replicated(%arg0: tensor<i32>, %arg1: tensor<i32>, %arg2: tensor<i32>, %arg3: tensor<i32>) -> (tensor<i32>, tensor<i32>) {
      %0:2 = tf_executor.graph {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 07 06:51:01 UTC 2024
    - 15.7K bytes
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