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Results 71 - 78 of 78 for SYMMETRIC (0.22 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
%paddings = "tf.Const"() {value = dense<[0, 1]> : tensor<2xi64>} : () -> tensor<2xi64> // expected-error @+1 {{failed to verify that operand 1 is 2-D}} %0 = "tf.MirrorPad"(%input, %paddings) { mode = "SYMMETRIC" }: (tensor<2xi64>, tensor<2xi64>) -> tensor<3xi64> func.return %0 : tensor<3xi64> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.22.md
- The deprecated flag `--hard-pod-affinity-symmetric-weight` and `--scheduler-name` have been removed from `kube-scheduler`. Use `ComponentConfig` instead to configure those parameters. ([#102805](https://github.com/kubernetes/kubernetes/pull/102805), [@ahg-g](https://github.com/ahg-g))
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Dec 13 12:43:45 UTC 2022 - 454.1K bytes - Viewed (0) -
pkg/apis/core/types.go
Data []byte } const ( // DefaultHardPodAffinitySymmetricWeight is the weight of implicit PreferredDuringScheduling affinity rule. // // RequiredDuringScheduling affinity is not symmetric, but there is an implicit PreferredDuringScheduling affinity rule // corresponding to every RequiredDuringScheduling affinity rule. // When the --hard-pod-affinity-weight scheduler flag is not specified,
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed May 29 22:40:29 UTC 2024 - 268.9K bytes - Viewed (0) -
doc/go_spec.html
To reduce complexity, type inference ignores the directionality of assignments, so the type relationship between <code>Slice</code> and <code>S</code> can be expressed via the (symmetric) type equation <code>Slice ≡<sub>A</sub> S</code> (or <code>S ≡<sub>A</sub> Slice</code> for that matter), where the <code><sub>A</sub></code> in <code>≡<sub>A</sub></code>
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jun 04 21:07:21 UTC 2024 - 281.5K bytes - Viewed (1) -
staging/src/k8s.io/api/core/v1/types.go
} const ( // DefaultSchedulerName defines the name of default scheduler. DefaultSchedulerName = "default-scheduler" // RequiredDuringScheduling affinity is not symmetric, but there is an implicit PreferredDuringScheduling affinity rule // corresponding to every RequiredDuringScheduling affinity rule. // When the --hard-pod-affinity-weight scheduler flag is not specified,
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed May 29 22:40:29 UTC 2024 - 390.8K bytes - Viewed (0) -
okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
2066..2069 ; disallowed # 6.3 LEFT-TO-RIGHT ISOLATE..POP DIRECTIONAL ISOLATE 206A..206F ; disallowed # 1.1 INHIBIT SYMMETRIC SWAPPING..NOMINAL DIGIT SHAPES 2070 ; mapped ; 0030 # 1.1 SUPERSCRIPT ZERO 2071 ; mapped ; 0069 # 3.2 SUPERSCRIPT LATIN SMALL LETTER I
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Sat Feb 10 11:25:47 UTC 2024 - 854.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
MirrorPadMode_SYMMETRIC }; return values; } inline const char * const *EnumNamesMirrorPadMode() { static const char * const names[3] = { "REFLECT", "SYMMETRIC", nullptr }; return names; } inline const char *EnumNameMirrorPadMode(MirrorPadMode e) { if (::flatbuffers::IsOutRange(e, MirrorPadMode_REFLECT, MirrorPadMode_SYMMETRIC)) return "";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0) -
RELEASE.md
`TFLiteConverter.from_saved_model`. * Added DEPTH_TO_SPACE support in Post training quantization. * Added dynamic range quantization support for the BatchMatMul op. * Both symmetric and asymmetric quantized input tensor are supported. * Add `RFFT2D` as builtin op. (`RFFT2D` also supports `RFFTD`.) Currently only supports float32 input. * Add 5D support to `SLICE` op.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)