- Sort Score
- Result 10 results
- Languages All
Results 41 - 50 of 117 for scan (0.15 sec)
-
ci/official/utilities/cleanup_docker.sh
# ============================================================================== cat <<EOF IMPORTANT: These tests ran under docker. This script does not clean up the container for you! You can delete the container with: $ docker rm -f tf You can also execute more commands within the container with e.g.: $ docker exec tf bazel clean $ docker exec -it tf bash EOF
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 10 20:26:29 GMT 2023 - 998 bytes - Viewed (0) -
.github/bot_config.yml
Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below: * Try Google Colab to use TensorFlow. * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install``` to install any other preferred TF version.
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
namespace tensorflow { namespace gradients { namespace internal { namespace { using tensorflow::TF_StatusPtr; Status IdentityNModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { std::vector<AbstractTensorHandle*> temp_outputs(2); TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN"));
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-converter-issue.md
``` (You can paste links or attach files by dragging & dropping them below) - Provide links to your updated versions of the above two colab notebooks. - Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model. ``` #### Option B: Paste your code here or provide a link to a custom end-to-end colab ``` (You can paste links or attach files by dragging & dropping them below)
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Jun 15 03:35:58 GMT 2022 - 2.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
// 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 // tracing, a function can be obtained by TF_FinalizeFunction. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* status); // Creates a context for eager execution of operations.
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/utilities/cleanup_summary.sh
set -euxo pipefail function resultstore_extract_fallback { # In case the main script fails somehow. cat <<EOF IMPORTANT: For bazel invocations that uploaded to ResultStore (e.g. RBE), you can view more detailed results that are probably easier to read than this log. Try the links below: EOF # Find any "Streaming build results to" line, then print the last word in it, # and don't print duplicates
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Nov 08 17:50:27 GMT 2023 - 1.8K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
} std::string value_string; if (!SummarizeValue(value_string).ok()) { value_string = "<error computing value>"; } if (value_string.length() > 100) { // The default NumPy-style output can be distractingly long in error // messages. value_string = absl::StrCat(value_string.substr(0, 100), " [...]"); } Status s; const char* device_name = DeviceName(&s); if (!s.ok()) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
WORKSPACE
# 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") tf_workspace3()
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Apr 05 22:27:48 GMT 2024 - 3K bytes - Viewed (2) -
ci/official/requirements_updater/README.md
dependency required, as well as their sub-dependencies. ### How to update/add requirements By default, the name of the base requirements file is `requirements.in`, but it can be set using the `REQUIREMENTS_FILE_NAME` variable. \ For example: ``` export REQUIREMENTS_FILE_NAME=my_requirements.in ``` To specify the file via a Bazel command argument, use the following: ```
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 3.9K bytes - Viewed (1) -
tensorflow/c/eager/c_api_experimental.h
// EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during // the process lifetime although this should cause the worker to be // reinitialized (e.g. cleared caches) as well. TF_CAPI_EXPORT extern uint64_t TFE_GetContextId(TFE_Context* ctx);
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)