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Results 1 - 10 of 85 for nilcheck (0.57 sec)
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platforms/core-configuration/configuration-cache/src/integTest/groovy/org/gradle/internal/cc/impl/inputs/undeclared/UndeclaredFileAccess.groovy
"new File(\"${filePath}\").$checkKind()" } } static FileCheck fileExists(String filePath) { new FileCheck(filePath, "exists") } static FileCheck fileIsFile(String filePath) { new FileCheck(filePath, "isFile") } static FileCheck fileIsDirectory(String filePath) { new FileCheck(filePath, "isDirectory") }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Jun 08 11:29:25 UTC 2024 - 9.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/odml-to-stablehlo-smuggle-resize.mlir
// RUN: odml_to_stablehlo %s -skip-resize -smuggle-disallowed-ops -o - | FileCheck %s // RUN: odml-to-stablehlo-opt %s --smuggle-disallowed-ops-pass | FileCheck %s --check-prefix=CHECK-OPT // CHECK-LABEL: @main module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 975 : i32}, tf_saved_model.semantics} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 18:33:43 UTC 2024 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fake_quant.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate -tflite-flatbuffer-to-mlir - -o - | FileCheck --check-prefix=IMPORT %s func.func @main(tensor<4xf32>) -> tensor<4xf32> { ^bb0(%arg0: tensor<4xf32>): // CHECK: { // CHECK-NEXT: version: 3, // CHECK-NEXT: operator_codes: [ { // CHECK-NEXT: deprecated_builtin_code: 80,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference_with_shape_specialization.mlir
// RUN: tf-opt %s -tf-shape-inference=input-arg-shapes=1 -verify-diagnostics -split-input-file | FileCheck %s // RUN: not tf-opt %s -tf-shape-inference=input-arg-shapes=* 2>&1 | FileCheck --check-prefix=INPUT_ARG_SHAPES_ERROR %s // INPUT_ARG_SHAPES_ERROR: Missing input argument shapes module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { // CHECK-LABEL: func.func @main
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf-while.mlir
// RUN: tf-opt --tfl-legalize-tf-while %s -o - | FileCheck %s // RUN: tf-opt --tfl-legalize-tf-while %s -o - --tfl-legalize-tf-while --inline='default-pipeline=''' | FileCheck %s --check-prefix=INLINE // RUN: tf-opt --tfl-legalize-tf-while %s -o - --tfl-legalize-tf-while --inline | FileCheck %s --check-prefix=CANON
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 5K 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/lite/tests/flatbuffer2mlir/many_attribute_op.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s // Confirm a wide array of attribute survives the round-trip func.func @main(tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> { ^bb0(%arg0: tensor<1x6x6x16xf32>):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 824 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/custom_op.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s func.func @main(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<1x32x42x128xf32>, %arg2: tensor<4xi32>) -> tensor<1x64x84x32xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 827 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/custom_op_offset.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer --use-buffer-offset %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s func.func @main(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<1x32x42x128xf32>, %arg2: tensor<4xi32>) -> tensor<1x64x84x32xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 847 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf-no-runtime-verification.mlir
// RUN: tf-opt %s -tfl-prepare-tf -tfl-legalize-tf='run-tfl-runtime-verification=false' -tfl-optimize | FileCheck %s func.func @broadcast_to_bf16(%arg0: tensor<3xbf16>, %arg1: tensor<2xi64>) -> tensor<3x3xbf16> { %0 = "tf.BroadcastTo"(%arg0, %arg1) : (tensor<3xbf16>, tensor<2xi64>) -> tensor<3x3xbf16> func.return %0: tensor<3x3xbf16> // CHECK-LABEL: broadcast_to_bf16 // CHECK: [[CST:%.*]] = arith.constant dense<1.000000e+00> : tensor<3x3xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 648 bytes - Viewed (0)