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Results 151 - 160 of 839 for nilcheck (0.09 sec)
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tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/hashtable_resource.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-custom-ops -emit-builtin-tflite-ops=false -o - | flatbuffer_to_string - | FileCheck %s // CHECK: { // CHECK: version: 3, // CHECK: operator_codes: [ { // CHECK: deprecated_builtin_code: 32, // CHECK: custom_code: "HashTableV2", // CHECK: builtin_code: CUSTOM // CHECK: } ], // CHECK: subgraphs: [ { // CHECK: tensors: [ { // CHECK: shape: [ ],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 07:31:32 UTC 2022 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/inlining.mlir
// RUN: tf-opt %s -inline='default-pipeline=''' | FileCheck %s // Inline a function that contains only tfl ops. func.func @func_with_tfl_ops(%arg0 : tensor<2xi32>) -> tensor<2xi32> { %0 = "tfl.sub"(%arg0, %arg0) {fused_activation_function = "RELU6"} : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32> %1 = "tfl.add"(%0, %arg0) {fused_activation_function = "RELU6"} : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32> func.return %1: tensor<2xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 14:24:59 UTC 2022 - 1000 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-custom-operation.pbtxt
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s node { name: "Constant" op: "Const" attr { key: "dtype" value { type: DT_INT32 } } attr { key: "value" value { tensor { dtype: DT_INT32 tensor_shape { } int_val: 0 } } } } node { name: "_tf.foo" op: "foo"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/prune_unused_nodes.pbtxt
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-prune-unused-nodes -tf-input-arrays=input0,input1 -tf-input-data-types=DT_INT32,DT_INT32 -tf-input-shapes=10:10 -tf-output-arrays=Add -o - | FileCheck %s # Verify that an unused Node (here named "Prune") isn't converted when we # request pruning on import. # CHECK-LABEL: func @main # CHECK-NOT: Prune # CHECK-NOT: unused_input node { name: "Prune" op: "Const"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 24 00:20:25 UTC 2020 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/derived_shape_attr.mlir
// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s // Check that attributes that define derived shapes are exported. // CHECK: op: "PlaceholderWithDefault" // CHECK: shape // CHECK: unknown_rank: true // CHECK: name: "static" // CHECK: op: "PlaceholderWithDefault" // CHECK: shape { // CHECK-NEXT: } // CHECK: name: "static_10" // CHECK: op: "PlaceholderWithDefault" // CHECK: shape // CHECK: dim // CHECK: size: 10
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-serialize-stablehlo.mlir
//RUN: tf_tfl_translate --enable-stablehlo-conversion --input-mlir %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s module { func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> { %1 = arith.constant dense<1> : tensor<1xi32> %2 = arith.constant dense<2.0> : tensor<1x1x2xf32> %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""} : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 18:33:43 UTC 2024 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/if_op.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s // Confirm function references in if ops are preserved func.func @main(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<1xf32> { // CHECK: %{{.*}} = "tf.If"(%{{.*}}, %{{.*}}, %{{.*}}) <{else_branch = @cond_false, is_stateless = false, then_branch = @cond_true}> : (tensor<1xi1>, tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/executor_island_materialize_const.mlir
// RUN: tf-opt %s -pass-pipeline='builtin.module(func.func(canonicalize))' | FileCheck %s // Test that a constant stays inside an island after canonicalization // CHECK-LABEL: func @constant_in_island func.func @constant_in_island(%arg0 : tensor<i1>) -> tensor<f32> { %0 = tf_executor.graph { // CHECK: tf_executor.island // CHECK: tf.Const{{.*}}2.0 %1:2 = tf_executor.island {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Nov 04 14:07:37 UTC 2022 - 854 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/aliasing_arg_attr.mlir
// RUN: tf-mlir-translate -mlir-to-graphdef %s -tf-graph-as-function -o - | FileCheck %s // Verify tf.aliasing_output attributes on args are dropped during export. module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 121 : i32}} { func.func @main(%arg0: tensor<*xf32> {tf.aliasing_output = 0 : i64}, %arg1: tensor<2x4x6x8xi32>) -> (tensor<*xf32>, tensor<2x4x6x8xi32> {tf.device = "/CPU:1"})
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 958 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/graph-input-node.pbtxt
# RUN: tf_tfl_translate -tf-input-arrays=input -tf-input-shapes=4 -tf-input-data-types=DT_INT32 -tf-output-arrays=output %s -o - --output-mlir | FileCheck %s node { name: "default" op: "Const" attr { key: "dtype" value { type: DT_INT32 } } attr { key: "value" value { tensor { dtype: DT_INT32 tensor_shape { } int_val: 0 } } } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 24 16:44:00 UTC 2020 - 962 bytes - Viewed (0)