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CONTRIBUTING.md
# Contributing guidelines ## Pull Request Checklist Before sending your pull requests, make sure you do the following: - Read the [contributing guidelines](CONTRIBUTING.md). - Read the [Code of Conduct](CODE_OF_CONDUCT.md). - Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_test.cc
executed = false; num_retvals = 0; TFE_Execute(op.get(), nullptr, &num_retvals, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); ASSERT_TRUE(executed); // Read the variable's value. op.reset(TFE_NewOp(context.get(), "ReadVariableOp", status.get())); TFE_OpAddInput(op.get(), var_handle, status.get()); TFE_OpSetDevice(op.get(), name, status.get());
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tensorflow/c/eager/gradients.cc
#include "tensorflow/core/platform/errors.h" namespace tensorflow { namespace gradients { namespace { // TODO(b/172558015): Using the pointer address as the identifier for the tensor // may lead to collisions. Introduce another way to get a unique id for this // tensor. int64_t ToId(const AbstractTensorHandle* t) { return static_cast<int64_t>(reinterpret_cast<uintptr_t>(t)); }
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tensorflow/c/eager/c_api_experimental.h
// leader and become accessible to all workers in the cluster. // Currently, a config key can only be set with one value, and subsequently // setting the same key will lead to errors. // // Note that the key-values are only expected to be used for cluster // configuration data, and should not be used for storing a large amount of data // or being accessed very frequently.
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
TF_WRITABLE_FILE_OPS_ABI, "writable file")); if (ops->read_only_memory_region_ops != nullptr) TF_RETURN_IF_ERROR(CheckABI(ops->read_only_memory_region_ops_abi, TF_READ_ONLY_MEMORY_REGION_OPS_ABI, "read only memory region")); return OkStatus(); }
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
pruning_thread_.reset(); } } /// Read `n` bytes from `filename` starting at `offset` into `buffer`. It /// returns total bytes read ( -1 in case of errors ). This method will set /// `status` to: /// /// 1) The error from the remote filesystem, if the read from the remote /// filesystem failed. /// 2) `TF_FAILED_PRECONDITION` if the read from the remote filesystem /// succeeded,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
TF_SetStatus(status, TF_UNKNOWN, "Could not get content-length header"); return -1; } // `TF_OUT_OF_RANGE` isn't considered as an error. So we clear it here. TF_SetStatus(status, TF_OK, ""); TF_VLog(1, "Successful read of %s @ %u of size: %u", path.c_str(), offset, read); stream.read(buffer, read); read = stream.gcount(); if (read < buffer_size) {
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
ops->read_only_memory_region_ops = static_cast<TF_ReadOnlyMemoryRegionOps*>( plugin_memory_allocate(TF_READ_ONLY_MEMORY_REGION_OPS_SIZE)); ops->read_only_memory_region_ops->cleanup = tf_read_only_memory_region::Cleanup; ops->read_only_memory_region_ops->data = tf_read_only_memory_region::Data; ops->read_only_memory_region_ops->length = tf_read_only_memory_region::Length;
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tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
} std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> read_op( TFE_NewOp(context.get(), "ReadVariableOp", status.get()), TFE_DeleteOp); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_OpSetAttrType(read_op.get(), "dtype", TF_FLOAT); parallel_device.Execute(context.get(), handle_inputs, "ReadVariableOp", TFE_OpGetAttrs(read_op.get()),
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tensorflow/c/c_api_experimental.h
// set XLA flag values to prepare for XLA compilation. Otherwise set // global_jit_level to OFF. // // This and the next API are syntax sugar over TF_SetConfig(), and is used by // clients that cannot read/write the tensorflow.ConfigProto proto. // TODO: Migrate to TF_CreateConfig() below. TF_CAPI_EXPORT extern void TF_EnableXLACompilation(TF_SessionOptions* options,
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