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ci/official/requirements_updater/WORKSPACE
# buildifier: disable=load-on-top workspace(name = "requirements_updater") # buildifier: disable=load-on-top load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "bazel_skylib", sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506", urls = [
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 05 22:12:56 GMT 2024 - 1.6K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
return ops::BiasAdd(ctx, inputs[0], inputs[1], &outputs[0], "NHWC", "BiasAdd"); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); status_ = StatusFromTF_Status(status.get());
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
// outputs = model(inputs) Status RunModel(Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs, bool use_function); Status BuildImmediateExecutionContext(bool use_tfrt, AbstractContext** ctx); // Return a tensor handle with given type, values and dimensions. template <class T, TF_DataType datatype>
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
// Serialize to GraphDef. GraphDef graph_def; ASSERT_TRUE(GetGraphDef(graph, &graph_def)); // Validate GraphDef is what we expect. bool found_placeholder = false; bool found_scalar_const = false; bool found_add = false; for (const auto& n : graph_def.node()) { if (IsPlaceholder(n)) { EXPECT_FALSE(found_placeholder); found_placeholder = true;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
RELEASE.md
* Added support for `tflite_convert` command line tool in 2.0. * Post-training quantization tool supports quantizing weights shared by multiple operations. The models made with versions of this tool will use INT8 types for weights and will only be executable interpreters from this version onwards. * Post-training quantization tool supports fp16 weights and GPU delegate
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tensorflow/BUILD
load( "//tensorflow/python/tools/api/generator:api_gen.bzl", "get_compat_files", "get_nested_compat_files", ) load( "//tensorflow/python/tools/api/generator:api_init_files.bzl", "TENSORFLOW_API_INIT_FILES", ) load( "//tensorflow/python/tools/api/generator:api_init_files_v1.bzl", "TENSORFLOW_API_INIT_FILES_V1", ) load("//tensorflow/python/tools/api/generator2:generate_api.bzl", "generate_apis")
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CONTRIBUTING.md
your changes by running the command: ```bash tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh ``` This will catch most license, Python coding style and BUILD file issues that may exist in your changes. #### Running unit tests There are two ways to run TensorFlow unit tests. 1. Using tools and libraries installed directly on your system. Refer to the
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tensorflow/c/experimental/gradients/array_grad_test.cc
outputs[0] = temp_outputs[1]; temp_outputs[0]->Unref(); return absl::OkStatus(); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); status_ = StatusFromTF_Status(status.get());
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
typedef struct TFE_MonitoringBoolGaugeCell TFE_MonitoringBoolGaugeCell; TF_CAPI_EXPORT extern void TFE_MonitoringBoolGaugeCellSet( TFE_MonitoringBoolGaugeCell* cell, bool value); TF_CAPI_EXPORT extern bool TFE_MonitoringBoolGaugeCellValue( TFE_MonitoringBoolGaugeCell* cell); // APIs for Bool Gauge without label. typedef struct TFE_MonitoringBoolGauge0 TFE_MonitoringBoolGauge0; TF_CAPI_EXPORT extern TFE_MonitoringBoolGauge0* TFE_MonitoringNewBoolGauge0(
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_static.cc
#include "tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Register the POSIX filesystems statically. // Return value will be unused bool StaticallyRegisterLocalFilesystems() { TF_FilesystemPluginInfo info; TF_InitPlugin(&info); Status status = filesystem_registration::RegisterFilesystemPluginImpl(&info); if (!status.ok()) {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 1.5K bytes - Viewed (0)