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

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Packages

Linuxx86_64Release
package ID316d8fd531da78b4afd03b61c2037e1f248783b4
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilergcc
compiler.cppstdgnu17
compiler.version13
optionsshared=True with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Linuxx86_64Release
package ID43f707298ffd334bca983eed13e524ccae8010fd
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilergcc
compiler.cppstd17
compiler.version11
optionsshared=True with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Linuxx86_64Release
package ID7098fefa781f35bca9af646fbc1b2bdafcf182ce
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
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 revisiona0f6cd4edd6f44829ff37db3065df983
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 revisiona0f6cd4edd6f44829ff37db3065df983
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 revisiona0f6cd4edd6f44829ff37db3065df983
compilergcc
compiler.cppstd17
compiler.version11
optionsshared=True with_mmap=True with_nnapi=False with_ruy=False with_xnnpack=True
Macosarmv8Release
package ID9a06b8c2ebcd25bb0259c277d0d27c7b8db35874
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilerapple-clang
compiler.cppstd17
compiler.version13
optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosarmv8Release
package IDd1607f5e8700c5fb2dfd7cdec1cd822fa4361dc9
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilerapple-clang
compiler.cppstdgnu17
compiler.version17
optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosarmv8Release
package IDd69490fa05e60a8200b23896f8898157fc7997a2
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilerapple-clang
compiler.cppstdgnu17
compiler.version17
optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Macosarmv8Release
package IDdd7b7d42e321ba543ea6f3b2af97bfd8bb9b5c73
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilerapple-clang
compiler.cppstd17
compiler.version13
optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release
package ID6a76e200ecb48212a6026330d9e4dbca1f8ddb1d
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilerapple-clang
compiler.cppstdgnu17
compiler.version17
optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release
package ID7078530f47c5e0f765879f0d12f338aa68e2971d
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilerapple-clang
compiler.cppstdgnu17
compiler.version17
optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release
package ID7d039928d3a9ebeb102ae1b6ef60ecbd97c4cefb
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilerapple-clang
compiler.cppstd17
compiler.version13
optionsfPIC=True shared=False with_mmap=True with_ruy=False with_xnnpack=True
Macosx86_64Release
package IDda7147b040b03ee493c986ac9fd02f8d46c6322f
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilerapple-clang
compiler.cppstd17
compiler.version13
optionsshared=True with_mmap=True with_ruy=False with_xnnpack=True
Windowsx86_64Release
package ID0b699d26c3510d7349f21faba2127b1025dd3d2a
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilermsvc
compiler.cppstd17
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease
optionsshared=True with_ruy=False with_xnnpack=True
Windowsx86_64Release
package ID181ed1d166c0da96c376197b80755c0882f855dc
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilermsvc
compiler.cppstd17
compiler.version193
compiler.runtimedynamic
compiler.runtime_typeRelease
optionsshared=False with_ruy=False with_xnnpack=True
Windowsx86_64Release
package ID3c1b70a83653de4589d0b388c9e301c7e720152c
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilermsvc
compiler.cppstd17
compiler.version192
compiler.runtimedynamic
compiler.runtime_typeRelease
optionsshared=False with_ruy=False with_xnnpack=True
Windowsx86_64Release
package ID4312911a1c10a1a5884d4e1d1a8e88445ac35846
Recipe revisiona0f6cd4edd6f44829ff37db3065df983
compilermsvc
compiler.cppstd17
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease
optionsshared=False with_ruy=False with_xnnpack=True

Dependencies

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✓◈ Apache-2.0a0f6cd4edd6f44829ff37db3065df983
✓◈ Apache-2.0b23c6c9b994692844cf9b1e3987e2b86
✓◈ Apache-2.09a77a4f88251ad72788db1182adbec99
!7e179dec6828d6aba1809a1b474a1a10
!b44386530eafc7c7dfc0a640c0f665d9
!40f7c6bb501998453f408e9b0ec07341

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  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

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conanv2.15.0
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