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tensorflow/c/eager/dlpack.cc
// 2) fill in the strides array as the real case for compact row-major data. // Here we choose option 2, since some frameworks didn't handle the strides // argument properly. dlm_tensor->dl_tensor.strides = stride_arr->data(); dlm_tensor->dl_tensor.byte_offset = 0; // TF doesn't handle the strides and byte_offsets here return static_cast<void*>(dlm_tensor); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
}; TEST_P(CppGradients, TestIdentityNGrad) { // This test is interesting because the current implementation of GradientTape // would return [0, 1] whereas we use build_default_zeros_grads=false here // so we get back [nullptr, 1]. AbstractTensorHandlePtr x1; { AbstractTensorHandle* x1_raw = nullptr; status_ = TestScalarTensorHandle<float, TF_FLOAT>(
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_unified_experimental.h
typedef struct TF_AbstractFunction TF_AbstractFunction; // This allows the client to swap the implementation of the tracing engine. // Any future call to TF_CreateFunction will use the implementation defined // here. void TF_SetTracingImplementation(const char* name, TF_Status*); // Creates a new TensorFlow function. A Function is an execution context, and as // such it can trace operations through TF_ExecuteOperation. After completing
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
make install # Create the devtoolset libstdc++ linkerscript that links dynamically against # the system libstdc++ 4.4 and provides all other symbols statically. # Note that the installation path for libstdc++ here is ${TARGET}/usr/lib64/ mv "${TARGET}/usr/lib64/libstdc++.so.${LIBSTDCXX_VERSION}" \ "${TARGET}/usr/lib64/libstdc++.so.${LIBSTDCXX_VERSION}.backup"
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Sep 29 00:26:34 GMT 2023 - 6.1K bytes - Viewed (1) -
tensorflow/api_template_v1.__init__.py
def _running_from_pip_package(): return any( _current_file_location.startswith(dir_) for dir_ in _site_packages_dirs) if _running_from_pip_package(): # TODO(gunan): Add sanity checks to loaded modules here. # Load first party dynamic kernels. _tf_dir = _os.path.dirname(_current_file_location) _kernel_dir = _os.path.join(_tf_dir, "core", "kernels") if _os.path.exists(_kernel_dir):
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
tensorflow/c/c_api.cc
"adding the nodes to the graph. This is a bug. Please file an " "issue at https://github.com/tensorflow/tensorflow/issues."); return; } // We have a convoluted scheme here: Using the C++ graph construction API // to add potentially many nodes to the graph without running the checks // (such as uniqueness of the names of nodes) we run with other functions
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
TF_CAPI_EXPORT extern bool TFE_ExecutorIsAsync(TFE_Executor*); // Causes the calling thread to block till all ops dispatched in this executor // have been executed. Note that "execution" here refers to kernel execution / // scheduling of copies, etc. Similar to sync execution, it doesn't guarantee // that lower level device queues (like GPU streams) have been flushed. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
SECURITY.md
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats, including tensorflow-io should be sandboxed if used to process untrusted data. For example, if an attacker were to upload a malicious video file, they could potentially exploit a vulnerability in the TensorFlow code that handles videos, which could allow them to execute arbitrary code on the system running TensorFlow.
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CONTRIBUTING.md
navigate to the [GitHub "issues" tab](https://github.com/tensorflow/tensorflow/issues) and start looking through interesting issues. If you are not sure of where to start, then start by trying one of the smaller/easier issues here i.e. [issues with the "good first issue" label](https://github.com/tensorflow/tensorflow/labels/good%20first%20issue) and then take a look at the
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ci/official/requirements_updater/requirements.in
astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies
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