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tensorflow/compiler/mlir/lite/experimental/tac/hardwares/simple_hardware.h
namespace mlir { namespace TFL { namespace tac { // A simple hardware is an interface makes you add a target backend easily if // you don't want too much customization. // // It allows you to easily specify the ops capabilities (by // specifying the denylist), the rest ops will be considered supported. Also you // can also specify the advantage over CPU. //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jul 21 01:22:53 UTC 2021 - 2.5K bytes - Viewed (0) -
cmd/kubeadm/app/cmd/cmd.go
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Aug 17 14:40:46 UTC 2021 - 4.3K bytes - Viewed (0) -
.github/dependabot.yml
version: 2 updates: # TODO(b/170636568): Enable Maven updates? Perhaps wait until we can more # easily import the generated PRs into our internal repo. # - package-ecosystem: "maven" # directory: "/" # schedule: # interval: "weekly" # groups: # dependencies: # applies-to: version-updates # patterns: # - "*" # - package-ecosystem: "maven" # directory: "/android" # schedule:
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Tue Jun 04 17:08:24 UTC 2024 - 761 bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalization_op_config_test.cc
EXPECT_EQ(tf2xla_fallback_count, 322); EXPECT_EQ(non_categorized_count, 428); } // Just a counter test to see which ops have duplicate lowerings. This isn't a // correctness test versus a test to easily ensure the op registry is kept // in sync. TEST_F(LegalizationOpConfigTest, CountTypesWhichHaveBothMlirAndTf2xlaFallback) { int double_lowering_count = 0; DialectRegistry dialect_registry;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 30 03:31:01 UTC 2024 - 8.4K bytes - Viewed (0) -
src/cmd/go/testdata/script/mod_errors_pos.txt
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Jun 06 18:36:30 UTC 2024 - 290 bytes - Viewed (0) -
src/packaging/deb/scripts/control
Architecture: all Maintainer: Fess Team Depends: libc6, adduser Section: web Priority: optional Homepage: https://github.com/codelibs/fess Description: Enterprise Search Server: Fess
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Thu Dec 10 01:24:02 UTC 2015 - 420 bytes - Viewed (0) -
.zenodo.json
"license": "Apache-2.0", "title": "TensorFlow", "upload_type": "software", "creators": [ { "name": "TensorFlow Developers" } ],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 18 19:19:25 UTC 2021 - 741 bytes - Viewed (0) -
src/cmd/go/testdata/script/cgo_badmethod_issue57926.txt
module example.com go 1.12 -- a.go -- package a /* typedef int T; */ import "C" func (C.T) f() {} func (recv *C.T) g() {} // The check is more education than enforcement, // and is easily defeated using a type alias. type Alias = C.T func (Alias) h() {}
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue May 02 12:55:28 UTC 2023 - 562 bytes - Viewed (0) -
.teamcity/README.md
## How the configuration works We use Kotlin portable DSL to store TeamCity configuration, which means you can easily create a new pipeline based on a specific branch. Currently, we have two pipelines: `master` and `release`, but you can easily create and test another isolated pipeline from any branch. We'll explain everything via an example. Let's say you make some changes on your branch `myTestBranch`
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Mar 06 23:02:25 UTC 2024 - 4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/README.md
converter, CPU kernels, etc.). Writing shape functions and gradients for these ops is extremely difficult. `tf.function` makes some parts of the implementation simpler, but it introduces runtime overhead and it cannot easily be used to apply dedicated optimizations to op kernels. The composable TF framework allows the user to define portable TF ops as compositions of other TF ops. It translates a Python function used to define the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 29 18:32:13 UTC 2022 - 6.2K bytes - Viewed (0)