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tensorflow/c/c_api.cc
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); } void TF_ImportGraphDefOptionsRemapControlDependency(
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ci/official/README.md
# it is only available to a limited set of internal TensorFlow developers. # # RBE is incompatible with local caching, so you must remove # disk_cache, public_cache, and public_cache_push from your $TFCI file. # # To use RBE, you must first run `gcloud auth application-default login`, then: export TFCI=py311,linux_x86,rbe # Finally: Run your script of choice.
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tensorflow/c/BUILD
"//conditions:default": [], }), tags = [ "no_cuda_asan", # TODO(b/181771536) "no_windows", # TODO(b/155444728) ], # We must ensure that the dependencies can be dynamically linked since # the shared library must be able to use core:framework. deps = [ ":c_api", ":c_api_internal", ":c_test_util", ":test_op_kernel", ":tf_buffer",
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tensorflow/__init__.py
app.flags = flags # These symbols appear because we import the python package which # in turn imports from tensorflow.core and tensorflow.python. They # must come from this module. So python adds these symbols for the # resolution to succeed. # pylint: disable=undefined-variable del python del core
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Sep 28 21:37:05 GMT 2021 - 1.4K bytes - Viewed (0) -
WORKSPACE
# buildifier: disable=load-on-top workspace(name = "org_tensorflow") # buildifier: disable=load-on-top # We must initialize hermetic python first. load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "bazel_skylib", sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506", urls = [
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tensorflow/c/eager/dlpack.cc
void* data = dl_tensor->data; if (dl_tensor->byte_offset != 0) { status->status = tensorflow::errors::InvalidArgument( "Unsupported byte_offset (", dl_tensor->byte_offset, ") from DLPack, must be zero"); return nullptr; } size_t total_bytes = dl_tensor->dtype.bits / 8; for (int i = 0; i < num_dims; i++) { total_bytes *= dims[i]; } if (dl_tensor->strides != nullptr &&
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LICENSE
meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works
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ci/official/requirements_updater/requirements.in
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 grpcio >= 1.24.3, < 2.0
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tensorflow/c/eager/c_api_unified_experimental_internal.h
TracingTensorHandle**) = 0; // Finalize this context and make a function out of it. The context is in a // invalid state after this call and must be destroyed. virtual Status Finalize(OutputList* outputs, AbstractFunction**) = 0; // For LLVM style RTTI. static bool classof(const AbstractContext* ptr) {
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tensorflow/c/eager/c_api_unified_experimental_graph.cc
if (op_) { return errors::FailedPrecondition( "SetOpName called on already built op."); } if (op_type_.empty()) { return errors::FailedPrecondition( "GraphOperation::Reset must be called before calling SetOpName."); } // TODO(b/145674566): We use Graph::NewName to get a unique name here but // this may not be consistent with python's naming policy. mutex_lock l(g_->mu);
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