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tensorflow/c/experimental/ops/README.md
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ci/official/containers/linux_arm64/devel.usertools/rename_and_verify_wheels.sh
# limitations under the License. # ============================================================================== # Check and rename wheels with auditwheel. Inserts the platform tags like # "manylinux_xyz" into the wheel filename. set -euxo pipefail for wheel in /tf/pkg/*.whl; do echo "Checking and renaming $wheel..."
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ci/official/utilities/cleanup_summary.sh
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 awk '/Streaming build results to/ {print $NF}' "$TFCI_OUTPUT_DIR/script.log" | uniq } # Print out any ResultStore URLs for Bazel invocations' results.
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tensorflow/c/c_api.cc
#endif // defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) } #if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD) namespace { // TODO(skyewm): make nodes in while loop unfetchable like in Python version void TF_FinishWhileHelper(const TF_WhileParams* params, TF_Status* status, TF_Output* outputs) { if (!ValidateInputWhileParams(*params, status)) return;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
AbstractContext* ctx_; }; // Returns the number of elements in the gradient tensor. int64_t TapeVSpace::NumElements(AbstractTensorHandle* tensor) const { // TODO(srbs): It seems like this is used only for performance optimization // and not for correctness. The only downside of keeping this 1 seems to be // that the gradient accumulation is unbounded and we will never
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tensorflow/c/eager/c_api.cc
"TFE_ContextSetServerDef not supported on mobile"); return false; #else // !defined(IS_MOBILE_PLATFORM) bool is_alive; status->status = tensorflow::unwrap(ctx)->GetDistributedManager()->CheckRemoteAlive( worker_name, &is_alive); return is_alive; #endif // !IS_MOBILE_PLATFORM } TF_CAPI_EXPORT extern void TFE_ContextAsyncWait(TFE_Context* ctx,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/c_api_function_test.cc
} // Define function, use it in graph, and run DefineT(-1, {}, {{feed1, 0}, {feed2, 0}}, {outputs[0]}, {}); TF_Operation* five = ScalarConst(5, host_graph_, s_, "five"); TF_Operation* func_feed = Placeholder(host_graph_, s_); TF_Operation* func_op = Use({func_feed, five}); Run({{func_feed, Int32Tensor(2)}}, func_op, 2 /*+=*/ + 5 + 1); // Verify input, output, and subset of edges in fdef.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6) -
RELEASE.md
construct the layer with LSTM(recurrent_activation='hard_sigmoid') to fallback to 1.x behavior. * TensorFlow Lite * Move from `tensorflow/contrib/lite` to `tensorflow/lite`. * Add experimental Java API for injecting TensorFlow Lite delegates * Add support for strings in TensorFlow Lite Java API. * `tf.contrib`: * Add Apache Ignite Filesystem plugin to support accessing Apache IGFS.
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tensorflow/c/c_api_experimental_test.cc
CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_); TFE_OpSetAttrType(fill_op, "T", TF_FLOAT); TFE_OpSetAttrType(fill_op, "Tshape", TF_INT32); float five = 5.0; TFE_TensorHandle* scalar = TestScalarTensorHandle(tfe_context_, five); TF_Tensor* scalarTensor = TFE_TensorHandleResolve(scalar, status_); CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_); CheckOutputShapes(fill_op,
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LICENSE
Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You 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
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