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src/go/doc/testdata/issue13742.0.golden
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Jan 08 04:10:51 UTC 2016 - 299 bytes - Viewed (0) -
src/go/doc/testdata/issue13742.1.golden
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Jan 08 04:10:51 UTC 2016 - 299 bytes - Viewed (0) -
src/go/doc/testdata/issue13742.2.golden
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Jan 08 04:10:51 UTC 2016 - 299 bytes - Viewed (0) -
docs/en/docs/advanced/async-tests.md
Let's look at how we can make that work. ## pytest.mark.anyio If we want to call asynchronous functions in our tests, our test functions have to be asynchronous. AnyIO provides a neat plugin for this, that allows us to specify that some test functions are to be called asynchronously. ## HTTPX Even if your **FastAPI** application uses normal `def` functions instead of `async def`, it is still an `async` application underneath.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sat Jan 13 12:07:15 UTC 2024 - 3.9K bytes - Viewed (0) -
src/main/webapp/WEB-INF/view/common/common.jsp
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Thu Aug 27 14:01:41 UTC 2015 - 508 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/mark_functions_noinline.cc
// Required when using LLVM_DEBUG macro. #define DEBUG_TYPE "mark-functions-noinline" namespace mlir { namespace quant { namespace { // Name of the boolean attribute indicating whether the function can be // inlined or not. constexpr StringRef kTfNoinlineAttr = "tf._noinline"; // This pass marks functions with the attribute `tf._noinline = true` so that
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 18 02:52:57 UTC 2023 - 4.5K bytes - Viewed (0) -
tensorflow/cc/saved_model/saved_model_bundle_lite_test.cc
test::ExpectTensorEqual<float>( outputs[0], test::AsTensor<float>({2, 2.5, 3, 3.5}, TensorShape({4, 1}))); // Validate the `output_partition_graphs` is not supported. RunOptions run_options; run_options.set_output_partition_graphs(true); RunMetadata run_metadata; Status s = bundle.GetSession()->Run(run_options, {{input_name, input}},
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 14 19:16:58 UTC 2023 - 9.7K bytes - Viewed (0) -
analysis/analysis-api/testData/components/compilerFacility/firPluginPrototypeMultiModule/functionParamInBinaryModule2.txt
inner (anonymous) class MainKt$ArticleScreenContent$2 synthetic static method ArticleScreenContent$default(p0: java.lang.String, p1: kotlin.jvm.functions.Function0, p2: int, p3: java.lang.Object): void private final static method ArticleScreenContent(p0: java.lang.String, p1: kotlin.jvm.functions.Function0): void private final static method TopAppBar(p0: java.lang.String): void
Registered: Wed Jun 12 09:53:16 UTC 2024 - Last Modified: Fri Mar 22 12:26:50 UTC 2024 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/trim_functions_tf.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Oct 07 21:08:41 UTC 2022 - 4.6K bytes - Viewed (0) -
tensorflow/cc/training/queue_runner.h
const RunOptions& run_options = RunOptions()); /// Starts the queue runner with the given session, and wait for up to the /// specified time (in milliseconds) for the queues to start to fill up. Status Start(Session* sess, int wait_for_ms); Status StartAndCollectCostGraph(Session* session, int wait_for_ms, const RunOptions& run_options = RunOptions());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 31 18:27:00 UTC 2022 - 5K bytes - Viewed (0)