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testing/performance/src/templates/native-dependents-resources/googleTest/libs/googleTest/1.7.0/include/gtest/gtest-param-test.h.pump
// in this file. // // The following statement will instantiate tests from the FooTest test case // each with parameter values "meeny", "miny", and "moe". INSTANTIATE_TEST_CASE_P(InstantiationName, FooTest, Values("meeny", "miny", "moe")); // To distinguish different instances of the pattern, (yes, you // can instantiate it more then once) the first argument to the
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Apr 04 07:21:38 UTC 2024 - 18.4K bytes - Viewed (0) -
src/runtime/mcache.go
nextSample uintptr // trigger heap sample after allocating this many bytes scanAlloc uintptr // bytes of scannable heap allocated // Allocator cache for tiny objects w/o pointers. // See "Tiny allocator" comment in malloc.go. // tiny points to the beginning of the current tiny block, or // nil if there is no current tiny block. // // tiny is a heap pointer. Since mcache is in non-GC'd memory,
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 25 19:53:03 UTC 2024 - 10K bytes - Viewed (0) -
docs/en/docs/help-fastapi.md
In many cases you might already know the answer for those questions. 🤓 If you are helping a lot of people with their questions, you will become an official [FastAPI Expert](fastapi-people.md#fastapi-experts){.internal-link target=_blank}. 🎉
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 13.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir
func.func @fakeQuantFoldedWithCast() -> (tensor<8xf32>) { %in = arith.constant dense<0.0> : tensor<8xf32> %min = arith.constant dense<0.0> : tensor<f32> %max = arith.constant dense<255.0> : tensor<f32> %mini = "tf.Identity"(%min) : (tensor<f32>) -> tensor<f32> %maxi = "tf.Identity"(%max) : (tensor<f32>) -> tensor<f32> %minc = "tf.Cast"(%mini) : (tensor<f32>) -> tensor<f32> %maxc = "tf.Cast"(%maxi) : (tensor<f32>) -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant-4bit.mlir
func.func @fakeQuantFoldedWithCast() -> (tensor<8xf32>) { %in = arith.constant dense<0.0> : tensor<8xf32> %min = arith.constant dense<0.0> : tensor<f32> %max = arith.constant dense<15.0> : tensor<f32> %mini = "tf.Identity"(%min) : (tensor<f32>) -> tensor<f32> %maxi = "tf.Identity"(%max) : (tensor<f32>) -> tensor<f32> %minc = "tf.Cast"(%mini) : (tensor<f32>) -> tensor<f32> %maxc = "tf.Cast"(%maxi) : (tensor<f32>) -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 22K bytes - Viewed (0) -
src/internal/types/testdata/check/builtins0.go
_ = min(1) _ = min(1, 2.3, 'a') _ = min(1, "foo" /* ERROR "mismatched types" */ ) _ = min(1, 0i /* ERROR "cannot be ordered" */ ) _ = min(1, 2 /* ERROR "cannot be ordered" */ + 3i ) ) } func min2() { _ = assert(min(0) == 0) _ = assert(min(0, 1) == 0) _ = assert(min(0, -10, 123456789) == -10) _ = assert(min(-12345678901234567890, 0) == -12345678901234567890) _ = assert(min(1, 2.3) == 1)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 30 19:19:55 UTC 2024 - 29.3K bytes - Viewed (0) -
docs/hu/docs/index.md
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Mon Apr 29 05:18:04 UTC 2024 - 20.2K bytes - Viewed (0) -
docs/en/docs/tutorial/security/oauth2-jwt.md
So, the thief won't be able to try to use that password in another system (as many users use the same password everywhere, this would be dangerous). ## Install `passlib` PassLib is a great Python package to handle password hashes. It supports many secure hashing algorithms and utilities to work with them. The recommended algorithm is "Bcrypt". So, install PassLib with Bcrypt:
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Mon May 20 17:37:28 UTC 2024 - 12.7K bytes - Viewed (0) -
docs/en/docs/deployment/concepts.md
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu May 02 22:37:31 UTC 2024 - 18K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.cc
SmallVector<double, 4> min_value, max_value; const auto mins = dyn_cast<DenseFPElementsAttr>(min); const auto maxs = dyn_cast<DenseFPElementsAttr>(max); if (mins && maxs) { min_value.reserve(mins.getNumElements()); max_value.reserve(maxs.getNumElements()); for (auto it = mins.begin(); it != mins.end(); ++it) { min_value.push_back(FloatAttr::getValueAsDouble(*it)); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 43.2K bytes - Viewed (0)