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Results 21 - 30 of 170 for linear_1 (0.27 sec)
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src/runtime/symtab_test.go
l39 = b l40 = c } func TestLineNumber(t *testing.T) { trythis() for _, test := range []struct { name string val int want int }{ {"firstLine", firstLine, 0}, {"lineVar1", lineVar1, 2}, {"lineVar2a", lineVar2a, 3}, {"lineVar2b", lineVar2b, 3}, {"compLit[0].lineA", compLit[0].lineA, 9}, {"compLit[0].lineB", compLit[0].lineB, 9}, {"compLit[1].lineA", compLit[1].lineA, 12},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue May 17 21:46:33 UTC 2022 - 7.5K bytes - Viewed (0) -
src/runtime/fastlog2.go
// uses a very rough approximation using the float64 exponent and the // first 25 bits of the mantissa. The top 5 bits of the mantissa are // used to load limits from a table of constants and the rest are used // to scale linearly between them. func fastlog2(x float64) float64 { const fastlogScaleBits = 20 const fastlogScaleRatio = 1.0 / (1 << fastlogScaleBits) xBits := float64bits(x)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Mar 15 22:45:17 UTC 2017 - 1.2K bytes - Viewed (0) -
tensorflow/c/experimental/ops/nn_ops.h
// Computes rectified linear gradients for a Relu operation. Status ReluGrad(AbstractContext* ctx, AbstractTensorHandle* const gradients, AbstractTensorHandle* const features, AbstractTensorHandle** backprops, const char* name = nullptr, const char* raw_device_name = nullptr); // Computes rectified linear: `max(features, 0)`.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 2.6K bytes - Viewed (0) -
src/unicode/letter_test.go
var calibrate = flag.Bool("calibrate", false, "compute crossover for linear vs. binary search") func TestCalibrate(t *testing.T) { if !*calibrate { return } if runtime.GOARCH == "amd64" { fmt.Printf("warning: running calibration on %s\n", runtime.GOARCH) } // Find the point where binary search wins by more than 10%. // The 10% bias gives linear search an edge when they're close,
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Sat Sep 09 01:46:03 UTC 2023 - 14.8K bytes - Viewed (0) -
guava/javadoc-link/checker-framework/package-list
org.checkerframework.checker.initialization org.checkerframework.checker.initialization.qual org.checkerframework.checker.interning org.checkerframework.checker.interning.qual org.checkerframework.checker.linear org.checkerframework.checker.linear.qual org.checkerframework.checker.lock org.checkerframework.checker.lock.qual org.checkerframework.checker.nullness org.checkerframework.checker.nullness.compatqual
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Thu Dec 07 19:00:31 UTC 2017 - 3.8K bytes - Viewed (0) -
test/chanlinear.go
// Copyright 2014 The Go Authors. All rights reserved. // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. // Test that dequeuing from a pending channel doesn't // take linear time. package main import ( "fmt" "runtime" "time" ) // checkLinear asserts that the running time of f(n) is in O(n). // tries is the initial number of iterations.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 23:33:25 UTC 2023 - 2.1K bytes - Viewed (0) -
android/guava/javadoc-link/checker-framework/package-list
org.checkerframework.checker.initialization org.checkerframework.checker.initialization.qual org.checkerframework.checker.interning org.checkerframework.checker.interning.qual org.checkerframework.checker.linear org.checkerframework.checker.linear.qual org.checkerframework.checker.lock org.checkerframework.checker.lock.qual org.checkerframework.checker.nullness org.checkerframework.checker.nullness.compatqual
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Thu Dec 07 19:00:31 UTC 2017 - 3.8K bytes - Viewed (0) -
tensorflow/c/experimental/ops/nn_ops.cc
Status status = op_ptr->Execute(temp_outputs, &num_retvals); *loss = temp_outputs[0]; *backprop = temp_outputs[1]; return status; } // Op: ReluGrad() // Summary: Computes rectified linear gradients for a Relu operation. // // Description: Status ReluGrad(AbstractContext* ctx, AbstractTensorHandle* const gradients, AbstractTensorHandle* const features,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 5.9K bytes - Viewed (0) -
test/fixedbugs/issue11656.go
// windows doesn't work, because Windows exception handling // delivers signals based on the current PC, and that current PC // doesn't go into the Go runtime. // wasm does not work, because the linear memory is not executable. // This test doesn't work on gccgo/GoLLVM, because they will not find // any unwind information for the artificial function, and will not be // able to unwind past that point.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 23:33:25 UTC 2023 - 700 bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/tools/go/ast/inspector/typeof.go
// // GOGC=off // - type switch 4.9-5.5ms 2.1ms // - binary search over a sorted list of types 5.5-5.9ms 2.5ms // - linear scan, frequency-ordered list 5.9-6.1ms 2.7ms // - linear scan, unordered list 6.4ms 2.7ms // - hash table 6.5ms 3.1ms // // A perfect hash seemed like overkill. // // The compiler's switch statement is the clear winner
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Dec 18 21:28:13 UTC 2023 - 4.8K bytes - Viewed (0)