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tensorflow/c/checkpoint_reader.h
// // The class currently only interacts with single-slice (i.e., non-partitioned) // variables. class CheckpointReader { public: CheckpointReader(const string& filename, TF_Status* status); bool HasTensor(const string& name) const; const string DebugString() const; // Returns a map from variable names to their shapes. Slices of a partitioned // tensor are combined into a single entry.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 3.1K bytes - Viewed (0) -
ci/official/bisect.sh
# ci/official/wheel.sh # TFCI: The env config path, relative to the TF root dir, e.g. # ci/official/envs/an_env_config # # Note that you can combine bisect.sh with any.sh to bisect a single test: # # export TFCI=... # export TF_BISECT_SCRIPT=ci/official/any.sh # export TF_BISECT_GOOD=a_good_commit_sha # export TF_BISECT_BAD=a_failing_commit_sha
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ci/official/utilities/get_versions.sh
# Note: in awk, "print $N" prints the Nth "field", where fields are strings separated # by whitespace. The flag "-F<x>" changes the behavior such that fields are now strings # separated by the character <x>. Therefore, -F\' (escaped single quote) means that field # $2 in <Tensor'flow'> is <flow>. This is useful for reading string literals like below. export TF_VER_SUFFIX=$(awk -F\" '/#define TF_VERSION_SUFFIX/ {print $2}' tensorflow/core/public/version.h)
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tensorflow/c/eager/c_api_test.cc
const tensorflow::ServerDef& cluster_server_def, int task_index) { tensorflow::ServerDef single_host_server_def; single_host_server_def.set_job_name("worker"); single_host_server_def.set_protocol(cluster_server_def.protocol()); single_host_server_def.set_task_index(0); tensorflow::ClusterDef* cluster_def = single_host_server_def.mutable_cluster(); tensorflow::JobDef* job_def = cluster_def->add_job();
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tensorflow/c/c_api_test.cc
EXPECT_EQ(X, dxy_dyValue); TF_DeleteTensor(fetchValues[0]); TF_DeleteTensor(fetchValues[1]); } // REGISTER_OP for CApiAttributesTest test cases. // Registers two ops, each with a single attribute called 'v'. // The attribute in one op will have a type 'type', the other // will have list(type). #define ATTR_TEST_REGISTER_OP(type) \
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tensorflow/api_template.__init__.py
`tf` instead of `tensorflow`, following the common practice of importing TensorFlow via the command `import tensorflow as tf`. The primary function of this module is to import all of the public TensorFlow interfaces into a single place. The interfaces themselves are located in sub-modules, as described below. Note that the file `__init__.py` in the TensorFlow source code tree is actually
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tensorflow/c/c_api.cc
SINGLE_CASE(kF, TF_ATTR_FLOAT, -1); SINGLE_CASE(kB, TF_ATTR_BOOL, -1); SINGLE_CASE(kType, TF_ATTR_TYPE, -1); SINGLE_CASE(kShape, TF_ATTR_SHAPE, attr->shape().unknown_rank() ? -1 : attr->shape().dim_size()); SINGLE_CASE(kTensor, TF_ATTR_TENSOR, -1); #undef SINGLE_CASE case tensorflow::AttrValue::kList: metadata.is_list = 1; metadata.list_size = 0;
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CONTRIBUTING.md
```bash bazel test ${flags} //tensorflow/python/... ``` For a single component e.g. softmax op: ```bash bazel test ${flags} tensorflow/python/kernel_tests/nn_ops:softmax_op_test ``` For a single/parameterized test e.g. `test_capture_variables` in `tensorflow/python/saved_model/load_test.py`: (Requires `python>=3.7`)
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ci/official/README.md
against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions: ```bash cd tensorflow-git-dir # Here is a single-line example of running a script on Linux to build the # GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and # a local build cache: TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh
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ci/official/requirements_updater/requirements.in
# TODO(b/304751256): Adjust the numpy pin to a single version, when ready numpy ~= 1.23.5 ; python_version <= "3.11" numpy ~= 1.26.0 ; python_version >= "3.12" wheel ~= 0.41.2 h5py >= 3.10.0 lit ~= 17.0.2 opt_einsum == 3.3.0 astunparse == 1.6.3 dill == 0.3.7 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
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