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Results 11 - 20 of 37 for feedsif (0.15 sec)
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src/encoding/xml/read_test.go
http://code.google.com/p/rietveld/issues/detail?id=155 The server side of the protocol is trivial: 1. add a <link rel="hub" href="hub-server"> tag to all feeds that will be pubsubhubbubbed. 2. every time one of those feeds changes, tell the hub with a simple POST request. I have tested this by adding debug prints to a local hub server and checking that the server got the right publish requests.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Mar 26 19:58:28 UTC 2024 - 29.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/remove_unused_while_results.cc
} // Don't prune if the condition block argument has any user. if (!cond_block_argument.use_empty()) return false; // Don't prune if `body_yield_operand` has more than one use (that would mean // it feeds into another op apart from `Yield`). if (!body_yield_operand.hasOneUse()) return false; // Don't prune if any other result of the candidate op is used. for (Value candidate_result : candidate_op->getResults()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Nov 16 01:49:07 UTC 2022 - 5K bytes - Viewed (0) -
okhttp/src/main/kotlin/okhttp3/internal/url/-Url.kt
} i += Character.charCount(codePoint) } } /** * Returns a substring of `input` on the range `[pos..limit)` with the following * transformations: * * * Tabs, newlines, form feeds and carriage returns are skipped. * * * In queries, ' ' is encoded to '+' and '+' is encoded to "%2B". * * * Characters in `encodeSet` are percent-encoded. *
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Tue Jan 09 12:33:05 UTC 2024 - 7.3K bytes - Viewed (0) -
src/compress/gzip/example_test.go
sentErr := false sendErr := func(err error) { if !sentErr { errch <- err sentErr = true } } // Copy our data to gzipWriter, which compresses it to // gzipWriter, which feeds it to bodyReader. if _, err := io.Copy(gzipWriter, dataReader); err != nil && err != io.ErrClosedPipe { sendErr(err) } if err := gzipWriter.Close(); err != nil && err != io.ErrClosedPipe { sendErr(err)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jun 22 16:24:14 UTC 2022 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/graph_pruning.cc
llvm::SmallDenseSet<mlir::StringAttr, 4> ops_to_preserve_ids_; }; // Checks if a tf_executor.Graph can be pruned. // For TensorFlow V1.0 compatibility: when importing a graph without providing // feeds/fetches/targets we should not attempt to prune. The best approximation // here is to check if the graph is of the "main" function and does not have the // "tf.entry_function" attribute defined. bool CanPruneGraph(func::FuncOp func) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 05 23:50:19 UTC 2022 - 7.6K bytes - Viewed (0) -
staging/src/k8s.io/apiserver/pkg/util/proxy/streamtranslator.go
Status: metav1.StatusSuccess, }}) metrics.IncStreamTranslatorRequest(req.Context(), strconv.Itoa(http.StatusOK)) } // translatorSizeQueue feeds the size events from the WebSocket // resizeChan into the SPDY client input. Implements TerminalSizeQueue // interface. type translatorSizeQueue struct { resizeChan chan remotecommand.TerminalSize }
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Feb 27 23:21:55 UTC 2024 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/cluster_tf.cc
// inference. pm.addPass(mlir::TF::CreateGuaranteeAllFuncsOneUsePass()); pm.addPass(mlir::TF::CreateTFShapeInferencePass()); // For V1 compatibility, we process a module where the graph does not have // feeds and fetched. We extract first the TPU computation in a submodule, // where it'll be in a function with args and returned values, much more // like a TF v2 module. We can then run the usual pipeline on this nested
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 22:25:18 UTC 2024 - 9.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/tpu_sharding_identification_pass.cc
} // Returns a TPUPartitionedInput op connected to a `tf_device.cluster_func` // operand value if it has an XLA sharding. If value is a resource type then // TPUPartitionedInput op will be connected to a ReadVariable op that feeds into // a `tf_device.cluster_func`. mlir::Operation* GetXlaShardingFromOperand(Value value) { Value value_to_visit = value; if (auto read_var = value_to_visit.getDefiningOp<mlir::TF::ReadVariableOp>())
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 28.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/quantize_model.py
related config. representative_dataset: a generator that returns a dictionary in {input_key: input_value} format or a tuple with signature key and a dictionary in {input_key: input_value} format that feeds calibration data for quantizing model. This should be provided when the model is not a QAT model. Returns: A SavedModel object with TF quantization applied. Raises:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 34.2K bytes - Viewed (0) -
maven-core/src/main/java/org/apache/maven/execution/MavenSession.java
* Adapt a {@link MavenExecutionRequest} to a {@link Settings} object for use in the Maven core. * We want to make sure that what is ask for in the execution request overrides what is in the settings. * The CLI feeds into an execution request so if a particular value is present in the execution request * then we will take that over the value coming from the user settings. */
Registered: Wed Jun 12 09:55:16 UTC 2024 - Last Modified: Mon Mar 25 10:50:01 UTC 2024 - 16.6K bytes - Viewed (0)