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tensorflow/c/eager/c_api.h
TF_Function* function, TF_Status* status); // Removes a function from the context. Once removed, you can no longer // TFE_Execute it or TFE_Execute any TFE_Op which has it as an attribute or any // other function which calls it as an attribute. TF_CAPI_EXPORT extern void TFE_ContextRemoveFunction(TFE_Context* ctx,
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tensorflow/c/c_api.h
// Builds the while loop specified by `params` and returns the output tensors of // the while loop in `outputs`. `outputs` should be allocated to size // `params.ninputs`. // // `params` is no longer valid once this returns. // // Either this or TF_AbortWhile() must be called after a successful // TF_NewWhile() call. TF_CAPI_EXPORT extern void TF_FinishWhile(const TF_WhileParams* params,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
ISSUES.md
the whole community, e.g., fixing bugs and adding features. Individual support should be sought on Stack Overflow or other non-GitHub channels. It helps us to
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache_test.cc
env->SetNowSeconds(3); int value = 0; EXPECT_TRUE(cache.Lookup(key, &value)); EXPECT_EQ(value, 42); // 2 seconds after the most recent insertion, the entry is no longer valid. env->SetNowSeconds(4); EXPECT_FALSE(cache.Lookup(key, &value)); // Re-insert the entry. cache.Insert(key, 43); EXPECT_TRUE(cache.Lookup(key, &value)); EXPECT_EQ(value, 43);
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
FileSystem* fs = nullptr; Status s = env_->GetFileSystemForFile(generic_path, &fs); if (fs == nullptr || !s.ok()) GTEST_SKIP() << "No filesystem registered: " << s; // First, test some interesting corner cases concerning empty URIs if (GetParam().empty()) { EXPECT_EQ(fs->TranslateName(""), ""); EXPECT_EQ(fs->TranslateName("/"), "/"); EXPECT_EQ(fs->TranslateName("//"), "/");
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.bazelrc
# TODO(mihaimaruseac): Document this option or remove if no longer needed build --enable_platform_specific_config # Enable XLA support by default. build --define=with_xla_support=true # TODO(mihaimaruseac): Document this option or remove if no longer needed build --config=short_logs # TODO(mihaimaruseac): Document this option or remove if no longer needed build --config=v2 # Disable AWS/HDFS support by default
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tensorflow/c/c_api_experimental.cc
gpu_options->set_allow_growth(gpu_memory_allow_growth); (*config.mutable_device_count())["CPU"] = num_cpu_devices; // TODO(b/113217601): This is needed for EagerContext::runner_ to use a // threadpool, so that we avoid the possibility of running the runner_ in the // threadpool of GPU event mgr, as that can trigger more callbacks to be // scheduled on that same threadpool, causing a deadlock in cases where the
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configure.py
# gcc on ppc64le does not support -march, use mcpu instead default_cc_opt_flags = '-mcpu=native' elif is_windows(): default_cc_opt_flags = '/arch:AVX' else: # On all other platforms, no longer use `-march=native` as this can result # in instructions that are too modern being generated. Users that want # maximum performance should compile TF in their environment and can pass # `-march=native` there.
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (0) -
ci/official/README.md
# variables in between script executions. To forcibly remove the # container and start fresh, run "docker rm -f tf". Removing the container # destroys some temporary bazel data and causes longer builds. # # You will need the NVIDIA Container Toolkit for GPU testing: # https://github.com/NVIDIA/nvidia-container-toolkit # # Note: if you interrupt a bazel command on docker (ctrl-c), you
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tensorflow/c/eager/c_api_experimental.h
// Creates a new TensorHandle from memory residing in the physical device // device_name. Takes ownership of the memory, and will call deleter to release // it after TF no longer needs it or in case of error. // // Custom devices must use TFE_NewCustomDeviceTensorHandle instead. TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandleFromDeviceMemory(
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