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tensorflow/cc/framework/while_gradients_test.cc
CreateLoop( [](const Scope& s, const std::vector<Output>& inputs, Output* output) { *output = ops::Less(s, inputs[0], 10); return s.status(); }, [](const Scope& s, const std::vector<Output>& inputs, std::vector<Output>* outputs) { outputs->push_back(ops::AddN(s, {inputs[0], inputs[1]})); outputs->push_back(ops::AddN(s, {inputs[1], 1})); outputs->push_back(inputs[2]);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 27 20:32:17 UTC 2017 - 7.7K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/optimizing-performance/build-cache/common_caching_problems.adoc
[.screenshot] image::build-cache/overlapping-outputs-input-comparison.png[] == Achieving stable task inputs It is crucial to have <<build_cache_concepts.adoc#stable_task_inputs,stable task inputs>> for every cacheable task. In the following section you will learn about different situations which violate stable task inputs and look at possible solutions.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Dec 07 01:37:51 UTC 2023 - 19.2K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/optimizing-performance/build-cache/build_cache_concepts.adoc
Input normalization is used by Gradle to determine if two task inputs are _essentially_ the same. Gradle uses normalized inputs when doing up-to-date checks and when determining if a cached result can be re-used instead of executing the task. As input normalization is declared by the task _consuming_ the data as input, different tasks can define different ways to normalize the same data.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Nov 29 17:38:38 UTC 2023 - 13.4K bytes - Viewed (0) -
tensorflow/cc/saved_model/util.cc
} inputs.emplace_back(feed_name, tensor); } if (!request_inputs.empty() && seen_request_inputs.size() != request_inputs.size()) { return absl::InvalidArgumentError(absl::StrCat( "Inputs contains invalid name. Used request inputs: ", absl::StrJoin(seen_request_inputs, ","), ", request input: ", absl::StrJoin(GetMapKeys(request_inputs), ","))); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 10 10:25:28 UTC 2024 - 3.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/embedding_sequencing.cc
} if (TF::TPUReplicatedInputOp input = llvm::dyn_cast<TF::TPUReplicatedInputOp>(user)) { if (!input.getIsPacked()) { input.emitOpError() << "unexpected variable input, not packed"; return LogicalResult::failure(); } if (is_variable) { input.emitOpError() << "unexpected multiple TPUReplicatedInputOp "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 39.4K bytes - Viewed (0) -
platforms/core-execution/build-cache/src/jmh/java/org/gradle/caching/internal/tasks/AbstractTaskOutputPackagingBenchmark.java
} return inputs.build(); } private static DataSource packSample(String name, List<DataSource> inputs, Packer packer, DataAccessor accessor) throws IOException { long sumLength = 0; for (DataSource input : inputs) { sumLength += input.getLength(); } DataTarget target = accessor.createTarget(name, Level.Trial); packer.pack(inputs, target);
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri Sep 22 09:43:12 UTC 2023 - 7.2K bytes - Viewed (0) -
platforms/core-execution/build-cache/src/jmh/java/org/gradle/caching/internal/tasks/JTarPacker.java
} @Override public void pack(List<DataSource> inputs, DataTarget output) throws IOException { TarOutputStream tarOutput = new TarOutputStream(output.openOutput()); for (DataSource input : inputs) { @SuppressWarnings("OctalInteger") TarHeader header = TarHeader.createHeader(input.getName(), input.getLength(), 0, false, 0644); TarEntry entry = new TarEntry(header);
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri Sep 22 09:43:12 UTC 2023 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.td
[(IsInt32ElementType $einsum), // Constraint to check: // 1. The einsum has two inputs and one output. // 2. The einsum is not created by the convert function itself. // 3. Both inputs are int32 tensor. // 4. Both inputs have the graph ancestor of either const-(sub), or cast-sub. // 5. The type of the const tensor (or input of the cast operation) is int8. (IsEinsumOpSupported $einsum, $args, $equation)],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Dec 10 05:52:02 UTC 2023 - 21.1K bytes - Viewed (0) -
subprojects/core-api/src/main/java/org/gradle/api/tasks/TaskInputs.java
* * @return The input files. Returns an empty collection if this task has no input files. */ FileCollection getFiles(); /** * Registers some input files for this task. * * @param paths The input files. The given paths are evaluated as per {@link org.gradle.api.Project#files(Object...)}. * @return a property builder to further configure the property. */
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Jan 26 16:09:35 UTC 2022 - 4.7K bytes - Viewed (0) -
platforms/core-execution/build-cache/src/jmh/java/org/gradle/caching/internal/tasks/CommonsTarPacker.java
} @Override public void pack(List<DataSource> inputs, DataTarget output) throws IOException { TarArchiveOutputStream tarOutput = new TarArchiveOutputStream(output.openOutput()); for (DataSource input : inputs) { TarArchiveEntry entry = new TarArchiveEntry(input.getName()); entry.setSize(input.getLength()); tarOutput.putArchiveEntry(entry);
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri Feb 02 07:31:19 UTC 2024 - 2.1K bytes - Viewed (0)