tensorflow-lite/2.15.0

TensorFlow Lite is a set of tools that enables on-device machine learning by helping developers run their models on mobile, embedded, and IoT devices.

#deep-learning#machine-learning#neural-networks

Using tensorflow-lite

Loading usage information…

Packages

Linuxx86_64Release

package ID316d8fd531da78b4afd03b61c2037e1f248783b4
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilergcc
compiler.cppstdgnu17
compiler.version13

optionsshared=True with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Linuxx86_64Release

package ID43f707298ffd334bca983eed13e524ccae8010fd
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilergcc
compiler.cppstd17
compiler.version11

optionsshared=True with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Linuxx86_64Release

package ID7098fefa781f35bca9af646fbc1b2bdafcf182ce
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilergcc
compiler.cppstdgnu17
compiler.version13

optionsfPIC=True shared=False with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Linuxx86_64Release

package ID78166c95d52242db8f33098753815d539fb3bae5
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilergcc
compiler.cppstd17
compiler.version11

optionsfPIC=True shared=False with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Linuxx86_64Release

package ID9207ed8ca73aa497c291d21a9b02e8d872a27c19
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilergcc
compiler.cppstd17
compiler.version11

optionsfPIC=True shared=False with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Linuxx86_64Release

package ID9d9da8969d0c913a145aeeb40c37de9584f83cbe
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilergcc
compiler.cppstd17
compiler.version11

optionsshared=True with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Linuxx86_64Release

package IDbcee3e3f32710fa280d7bea0a721ad855317daf5
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilergcc
compiler.cppstdgnu17
compiler.version13

optionsshared=True with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Linuxx86_64Release

package IDf9b230d17c220d20c90d4961adfd4881695611b0
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilergcc
compiler.cppstdgnu17
compiler.version13

optionsfPIC=True shared=False with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Macosarmv8Release

package ID86bb8ecbca1b27e08524d7c8a97fa0b850fa9694
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosarmv8Release

package ID921be4e4581e6ffb712f6278fff386865432a284
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Macosarmv8Release

package ID9a06b8c2ebcd25bb0259c277d0d27c7b8db35874
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstd17
compiler.version13

optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosarmv8Release

package IDd1607f5e8700c5fb2dfd7cdec1cd822fa4361dc9
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosarmv8Release

package IDd69490fa05e60a8200b23896f8898157fc7997a2
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Macosarmv8Release

package IDdd7b7d42e321ba543ea6f3b2af97bfd8bb9b5c73
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstd17
compiler.version13

optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release

package ID55a3a364724a0f3b38a9ba2adaad35455d82f4b1
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release

package ID6a76e200ecb48212a6026330d9e4dbca1f8ddb1d
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release

package ID7078530f47c5e0f765879f0d12f338aa68e2971d
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release

package ID7c0f689c23952662f1d8d99eba19b5f872e75ee4
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release

package ID7d039928d3a9ebeb102ae1b6ef60ecbd97c4cefb
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstd17
compiler.version13

optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release

package IDda7147b040b03ee493c986ac9fd02f8d46c6322f
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilerapple-clang
compiler.cppstd17
compiler.version13

optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Windowsx86_64Release

package ID023944295592497ceab93618fbce7b2b94f132ac
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilermsvc
compiler.cppstd17
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease

optionsshared=False with_ruy=False with_xnnpack=True
Windowsx86_64Release

package ID0b699d26c3510d7349f21faba2127b1025dd3d2a
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilermsvc
compiler.cppstd17
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease

optionsshared=True with_ruy=False with_xnnpack=True
Windowsx86_64Release

package ID181ed1d166c0da96c376197b80755c0882f855dc
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilermsvc
compiler.cppstd17
compiler.version193
compiler.runtimedynamic
compiler.runtime_typeRelease

optionsshared=False with_ruy=False with_xnnpack=True
Windowsx86_64Release

package ID3c1b70a83653de4589d0b388c9e301c7e720152c
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilermsvc
compiler.cppstd17
compiler.version192
compiler.runtimedynamic
compiler.runtime_typeRelease

optionsshared=False with_ruy=False with_xnnpack=True
Windowsx86_64Release

package ID4312911a1c10a1a5884d4e1d1a8e88445ac35846
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilermsvc
compiler.cppstd17
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease

optionsshared=False with_ruy=False with_xnnpack=True
Windowsx86_64Release

package IDe6b6f27c957ef20b3f3dc8711a8666b8a6d1e6c2
Recipe revision2c68ac2ae8a981f0a7bc0ba7b472e25b

compilermsvc
compiler.cppstd17
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease

optionsshared=True with_ruy=False with_xnnpack=True

Dependencies

Loading dependencies…

Apache-2.02c68ac2ae8a981f0a7bc0ba7b472e25b
Apache-2.0af81400496b7056cbc322b6931687fdd
Apache-2.0cea2a7b3db314e4a145f300c2b3ea7d1
!7e179dec6828d6aba1809a1b474a1a10
!b44386530eafc7c7dfc0a640c0f665d9
!40f7c6bb501998453f408e9b0ec07341

🔍 Ready to secure your dependencies in seconds?

  1. Register for free at conan.io/audit/register.
  2. Save your token and activate it via the confirmation email you receive.
  3. Configure Conan to use your token:
    conan audit provider auth conancenter --token=<token>
  4. Scan for vulnerabilities:
    # Check a specific reference
    conan audit list tensorflow-lite/2.15.0
    # Scan the entire dependency graph
    conan audit scan --requires=tensorflow-lite/2.15.0

Note: For more details on the Conan Audit command, please read this post.

Tip: To avoid exposing your token in shell history, authenticate using an environment variable (e.g. CONAN_AUDIT_PROVIDER_TOKEN_CONANCENTER=<token>). For more info, see the documentation.

conanv2.15.0
[![Conan Center](https://img.shields.io/conan/v/tensorflow-lite)](https://conan.io/center/recipes/tensorflow-lite)