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src/cmd/vendor/rsc.io/markdown/tables.go
" ", "%20", "`", "%60", "[", "%5B", "]", "%5D", "^", "%5E", "{", "%7B", "}", "%7D", "\x00", "%00", "\x01", "%01", "\x02", "%02", "\x03", "%03", "\x04", "%04", "\x05", "%05", "\x06", "%06", "\x07", "%07", "\x08", "%08", // "\x09", "%09", // "\x0A", "%0A", "\x0B", "%0B", "\x0C", "%0C", // "\x0D", "%0D", "\x0E", "%0E", "\x0F", "%0F", "\x10", "%10",
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jan 24 13:01:26 UTC 2024 - 3.8K bytes - Viewed (0) -
src/crypto/tls/testdata/Client-TLSv13-P256-ECDHE
00000130 21 13 87 ab e5 b8 e5 86 01 74 25 b7 39 fc 86 e2 |!........t%.9...| 00000140 2f de 0b 1f 8c db b2 98 b3 47 c1 4e dd db 36 d3 |/........G.N..6.| 00000150 28 de cf 4c 4d 54 8e a3 e5 d3 38 19 1f 4b 05 7f |(..LMT....8..K..| 00000160 9a e1 59 4c a3 4e 42 b6 71 0d 9c 96 e4 d8 29 73 |..YL.NB.q.....)s| 00000170 4e e6 f5 87 56 04 99 c2 56 15 6c 8b 04 7c e5 83 |N...V...V.l..|..|
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 22:33:38 UTC 2024 - 7.1K bytes - Viewed (0) -
src/cmd/compile/internal/test/testdata/string_test.go
//go:noinline func testInt64Slice_ssa(s string, i, j int64) string { return s[i:j] } func testInt64Index(t *testing.T) { tests := []struct { i int64 j int64 b byte s string }{ {0, 5, 'B', "Below"}, {5, 10, 'E', "Exact"}, {10, 15, 'A', "Above"}, } str := "BelowExactAbove" for i, test := range tests { if got := testInt64Index_ssa(str, test.i); got != test.b {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Dec 23 06:40:04 UTC 2020 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/hardwares/cpu_hardware.cc
namespace mlir { namespace TFL { namespace tac { namespace { // CPU constexpr float kCPUArithmeticUnitCost = 1.0; // This basically assumes pure load/store. This is just fake data. constexpr float kCPUCopyUnitCost = 0.5; // Default values. constexpr float kCPUDefaultFixedValuedCost = 10000.0; // Quantized inference cost efficiency. // For CPU, quantized inference is ~3x faster than the float alternative, this
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 03:08:33 UTC 2023 - 5.9K bytes - Viewed (0) -
src/crypto/tls/testdata/Client-TLSv13-X25519-ECDHE
000001b0 7e 7c bf e7 46 7d 13 27 0d 38 75 f0 15 e1 64 93 |~|..F}.'.8u...d.| 000001c0 1e 26 bc a8 5d 95 60 a2 e5 42 7f 2f 08 a1 e8 d3 |.&..].`..B./....| 000001d0 79 e8 5e 1f 02 45 cc 05 ca 63 7b f2 d9 ad af ab |y.^..E...c{.....| 000001e0 5a 94 f0 16 e7 60 14 c2 3d 05 3f 8d bb 33 c1 ca |Z....`..=.?..3..| 000001f0 79 28 04 c7 20 07 c8 13 89 7a 11 a2 54 6d b8 d5 |y(.. ....z..Tm..|
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 22:33:38 UTC 2024 - 6.8K bytes - Viewed (0) -
platforms/documentation/docs/src/snippets/native-binaries/cunit/groovy/libs/cunit/2.1-2/include/CUnit/MyMem.h
* in Debug Versions * * 18/Jun/2002 Memory Debug Functions. (AK) * * 17-Jul-2004 New interface for global function names. (JDS) * * 05-Sep-2004 Added internal test interface. (JDS) */ /** @file * Memory management functions (user interface). * Two versions of memory allocation/deallocation are available.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Nov 27 17:53:42 UTC 2023 - 4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range-float16.mlir
%3 = "tfl.pseudo_const"() {value = dense<[[0.3]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32> %4 = "tfl.pseudo_const"() {value = dense<[[0.4]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32> %5 = "tfl.pseudo_const"() {value = dense<[[0.5]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32> %6 = "tfl.pseudo_const"() {value = dense<[[0.6]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32> %7 = "tfl.pseudo_const"() {value = dense<[[0.7]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ir/fallback_opt.mlir
func.func @fallback_resource(%ch0: !tfrt.chain) -> !tfrt.chain { %ra = tfrt_fallback_async.const_dense_tensor dense<0.0> : tensor<f32> {_tfrt_cost = 1 : i64} %rb = tfrt_fallback_async.const_dense_tensor dense<0.5> : tensor<f32> {_tfrt_cost = 1 : i64} // CHECK: tfrt_fallback_async.set_resource {{%.*}}, {{%.*}} {device = "cpu", index = 0 : i64} // CHECK: tfrt_fallback_async.set_resource {{%.*}}, {{%.*}} {device = "cpu", index = 1 : i64}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 11:03:04 UTC 2022 - 4.8K bytes - Viewed (0) -
src/crypto/tls/testdata/Server-TLSv13-CHACHA20-SHA256
000000b0 e5 db e8 90 49 90 89 8a c3 7f 33 a0 c7 91 2a 3f |....I.....3...*?| 000000c0 c5 1f 0c 00 58 9f 5e d7 01 35 24 92 a7 66 db 0e |....X.^..5$..f..| 000000d0 fd d3 6c ff 58 61 56 39 b3 9b 05 d2 a1 9f ab f1 |..l.XaV9........| 000000e0 29 ce b0 c6 37 c5 56 8d 0b 2a bd 0c 04 a3 c8 4e |)...7.V..*.....N| 000000f0 61 08 44 4b b7 f1 12 60 a9 f6 e7 02 14 e7 d4 1a |a.DK...`........|
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 25 00:14:50 UTC 2023 - 7.3K bytes - Viewed (0) -
src/image/jpeg/dct_test.go
cosines[((2*x+1)*u)%32] * cosines[((2*y+1)*v)%32] } } dst[8*v+u] = sum / 8 } } // Convert from float64 to int32. for i := range dst { b[i] = int32(dst[i] + 0.5) } } // slowIDCT performs the 8*8 2-dimensional inverse discrete cosine transform: // // dst[x,y] = (1/8) * Σ_u Σ_v alpha(u) * alpha(v) * src[u,v] * // cos((π/2) * (2*x + 1) * u / 8) *
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Sep 06 15:49:30 UTC 2022 - 8.6K bytes - Viewed (0)