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tensorflow/c/c_api_test.cc
EXPECT_EQ(1, TF_OperationOutputListLength(feed, "output", s)); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(0, TF_OperationNumInputs(feed)); EXPECT_EQ(0, TF_OperationOutputNumConsumers(TF_Output{feed, 0})); EXPECT_EQ(0, TF_OperationNumControlInputs(feed)); EXPECT_EQ(0, TF_OperationNumControlOutputs(feed)); tensorflow::AttrValue attr_value;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
RELEASE.md
* The random-number-generating ops in the `tf.random` module when the global random seed has not yet been set (via `tf.random.set_seed`). Throws `RuntimeError` from Python or `InvalidArgument` from C++ * `tf.compat.v1.get_seed` if the global random seed has not yet been set (via `tf.random.set_seed`). Throws `RuntimeError` from Python or `InvalidArgument` from C++ ## Security
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tensorflow/c/eager/parallel_device/BUILD
licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup( name = "lib_headers", srcs = ["parallel_device_lib.h"], ) filegroup( name = "lib_sources",
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CONTRIBUTING.md
* If you are an individual writing original source code and you're sure you own the intellectual property, then you'll need to sign an [individual CLA](https://code.google.com/legal/individual-cla-v1.0.html). * If you work for a company that wants to allow you to contribute your work, then you'll need to sign a [corporate CLA](https://code.google.com/legal/corporate-cla-v1.0.html).
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WORKSPACE
install_deps() # Initialize the TensorFlow repository and all dependencies. # # The cascade of load() statements and tf_workspace?() calls works around the # restriction that load() statements need to be at the top of .bzl files. # E.g. we can not retrieve a new repository with http_archive and then load() # a macro from that repository in the same file. load("@//tensorflow:workspace3.bzl", "tf_workspace3")
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tensorflow/c/c_api.cc
int src_index, TF_Output dst) { opts->tensor_id_data.push_back(src_name); const string& src_name_str = opts->tensor_id_data.back(); // We don't need to store dst's name in tensor_id_data, since `dst` must // outlive the ImportGraphDef call. opts->opts.input_map[TensorId(src_name_str, src_index)] = ToTensorId(dst); }
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tensorflow/c/eager/c_api_test_util.cc
TFE_OpSetAttrString(op, "tensor_name", "dummy", 5); TFE_OpSetAttrString(op, "send_device", send_device.c_str(), send_device.size()); TFE_OpSetAttrString(op, "recv_device", recv_device.c_str(), recv_device.size()); TFE_OpSetAttrInt(op, "send_device_incarnation", send_device_incarnation); return op; }
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ci/official/utilities/rename_and_verify_wheels.sh
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # # Usage: rename_and_verify_wheels.sh # This script is aware of TFCI_ variables, so it doesn't need any arguments. # Puts new wheel through auditwheel to rename and verify it, deletes the old
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tensorflow/c/eager/c_api_unified_experimental_graph.cc
private: friend class GraphContext; // For access to op_. TF_Graph* g_; std::unique_ptr<TF_OperationDescription> op_; // Hold `op_type` and `op_name` till both are available since we need both // to build a graph operation. string op_type_; const char* op_name_ = nullptr; // TODO(srbs): Use this. string device_name_; };
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tensorflow/c/eager/c_api.cc
return nullptr; } std::vector<int64_t> dimvec(num_dims); for (int i = 0; i < num_dims; ++i) { dimvec[i] = static_cast<int64_t>(dims[i]); } // TODO(apassos) do we need to wrap the deallocator here to make sure to sync // the device? TF_ManagedBuffer* buf = new TF_ManagedBuffer(data, len, deallocator, deallocator_arg, /*owns_memory=*/false);
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