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tensorflow/c/c_api_experimental.h
int tensor_id, TF_Status* status); // On success, enqueues `tensor` into a TF-managed FifoQueue given by // `tensor_id`, associated with `session`. There must be a graph node named // "fifo_queue_enqueue_<tensor_id>", to be executed by this API call. It reads
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ci/devinfra/docker_windows/Dockerfile
[Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";${zulu_root}\bin\", \"Machine\"); \ [Environment]::SetEnvironmentVariable(\"JAVA_HOME\", $zulu_root, \"Machine\") # Install gcloud (install.bat installs directly into bin folder of extracted zip contents) # Install needed gcloud components RUN Add-Type -AssemblyName "System.IO.Compression.FileSystem"; \
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configure.py
python_major_version = get_python_major_version(python_bin_path) if python_major_version == '2': write_to_bazelrc('build --host_force_python=PY2') # Convert python path to Windows style before writing into bazel.rc if is_windows() or is_cygwin(): python_lib_path = cygpath(python_lib_path) # Set-up env variables used by python_configure.bzl write_action_env_to_bazelrc('PYTHON_BIN_PATH', python_bin_path)
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/eager/c_api_cluster_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_DeleteExecutor(executor); TF_DeleteStatus(status); } // Read the value of variable `var` and save it into `out_value`. void ReadVariable(TFE_Context* ctx, TFE_TensorHandle* var, TFE_TensorHandle** out_value) { TF_Status* status = TF_NewStatus(); TFE_Op* op = TFE_NewOp(ctx, "ReadVariableOp", status);
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tensorflow/c/eager/tape.h
// upstream gradients. // // TODO(apassos) provide concrete template instantiations for TFE_TensorHandle // specialization, which is blocked by quite a few things needing to loop back // into python now. template <typename Gradient, typename BackwardFunction, typename TapeTensor> class VSpace { public: virtual ~VSpace() {} // Returns the number of elements in the gradient tensor.
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tensorflow/c/c_api_experimental.cc
// This builder is used in the eager API to build a NodeDef. struct TF_AttrBuilder : public tensorflow::AttrBuilder { using tensorflow::AttrBuilder::AttrBuilder; // The string buffers to make sure that any `attr_name` we pass into // `builder->Set()` will outlive the subsequent // `TF_AttrBuilderCheckCanRunOnDevice()` call(s) on the same `builder`. std::set<std::string> attr_names; };
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tensorflow/c/eager/parallel_device/parallel_device.cc
// A ParallelDevice on its own is not registered with a TFE_Context, and so has // no device name (e.g. for `tf.device`). `NamedParallelDevice` associates a // name with it, which lets us pack its `ParallelTensor`s into TFE_TensorHandles // placed on the parallel device. class NamedParallelDevice { public: NamedParallelDevice(const std::string& name, std::unique_ptr<ParallelDevice> parallel_device)
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ci/official/containers/linux_arm64/jax.requirements.txt
# JAX requirements, passed into container by defining the ARG # REQUIREMENTS_FILE=jax.requirements.txt setuptools wheel cloudpickle colorama>=0.4.4 matplotlib pillow>=9.1.0 rich absl-py portpicker six opt-einsum auditwheel typing_extensions importlib_metadata>=4.6 numpy==1.26.0;python_version=="3.12" numpy==1.23.4;python_version=="3.11" numpy==1.22.4;python_version<"3.11" scipy==1.11.2;python_version=="3.12"
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ci/README.md
and deploy TensorFlow. This folder is typically used by continuous integration (CI) tools to build and test TensorFlow whenever there is a change to the code. This folder is broken into subfolders that represent the level of support
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tensorflow/c/c_api_function.cc
fn_body->graph.IsValidOutputTensor(node, idx), "Encountered while processing input ", i, " into function '", fn_name, "'"); TF_RETURN_WITH_CONTEXT_IF_ERROR(ValidateNonRefOutput(node, idx), "Encountered while processing input ", i, " into function '", fn_name, "'"); input_tensors->emplace_back(node, idx);
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