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tensorflow/c/c_test.c
// just nice to know that it compiles. void* create(TF_OpKernelConstruction* ctx) { TF_DataType type; TF_Status* s = TF_NewStatus(); TF_OpKernelConstruction_GetAttrType(ctx, "foobar", &type, s); TF_DeleteStatus(s); return NULL; } // A compute function. This will never actually get called in this test, it's // just nice to know that it compiles.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 2.8K bytes - Viewed (0) -
ci/official/utilities/rename_and_verify_wheels.sh
# one, checks the filesize, and then ensures the new wheel is installable. set -euxo pipefail cd "$TFCI_OUTPUT_DIR" # Move extra wheel files somewhere out of the way. This script # expects just one wheel file to exist. if [[ "$(ls *.whl | wc -l | tr -d ' ')" != "1" ]]; then echo "More than one wheel file is present: moving the oldest to" echo "$TFCI_OUTPUT_DIR/extra_wheels."
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 27 21:16:27 GMT 2024 - 3.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/BUILD
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup(
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tensorflow/c/eager/tape.h
==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_TAPE_H_ #define TENSORFLOW_C_EAGER_TAPE_H_ // Language-agnostic gradient tape. Does not perform backpropagation, just // maintains the data structures required to do so. #include <stack> #include <unordered_map> #include <unordered_set> #include <vector> #include "tensorflow/core/config/flag_defs.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
CONTRIBUTING.md
***NOTE***: Only original source code from you and other people that have signed the CLA can be accepted into the main repository. ### Contributing code If you have improvements to TensorFlow, send us your pull requests! For those just getting started, GitHub has a [how-to](https://help.github.com/articles/using-pull-requests/). TensorFlow team members will be assigned to review your pull requests. Once the
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.github/workflows/update-rbe.yml
digest=$(curl -s --head "https://gcr.io/v2/tensorflow-sigs/build/manifests/$2" | egrep -o "sha256:[[:alnum:]]*") # Find the line matching the regex "sigbuild-r2.9" (with quotes) and # replace just the digest portion in it sed -i"" "/\"$1\"/ s/sha256:[[:alnum:]]*/$digest/g" tensorflow/tools/toolchains/remote_config/configs.bzl echo "success." }
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Apr 10 15:40:34 GMT 2024 - 7.2K bytes - Viewed (0) -
tensorflow/BUILD
$(location @local_config_def_file_filter//:def_file_filter) \\ --input $(location :tensorflow_def_file) \\ --output $@ """, "//conditions:default": "touch $@", # Just a placeholder for Unix platforms }), tools = ["@local_config_def_file_filter//:def_file_filter"], visibility = ["//visibility:public"], )
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tensorflow/c/eager/c_api_experimental.h
// There are currently no graph semantics implemented for registered custom // devices, so executing tf.functions which contain operations placed on the // custom devices will fail. // // `device_name` must not name an existing physical or custom device. It must // follow the format: // // /job:<name>/replica:<replica>/task:<task>/device:<type>:<device_num> // // If the device is successfully registered, `status` is set to TF_OK. Otherwise
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tensorflow/c/eager/c_api.cc
const auto func_op = GetFunc(ctx, default_value.func(), status); if (!status->status.ok()) return; // TODO(nareshmodi): TFE_OpSetAttrFunction and TFE_OpSetAttrFunctionList // require TFE_Op* and just convert it internally a NameAttrValue, so // consider adding an overload to the C API to make this case easier. TFE_OpSetAttrFunction(op, attr_name, func_op); TFE_DeleteOp(func_op); } break;
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tensorflow/c/c_api_function.cc
// artificial restriction and require that when num_opers=-1, such // nodes must have a single output. if (node->num_outputs() != 1) { return InvalidArgument( "When `num_opers` is set to -1, nodes referenced in `inputs` " "must have a single output. Node ", node->name(), " has ", node->num_outputs(),
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