tract-tensorflow 0.23.0-dev.2

Tiny, no-nonsense, self contained, TensorFlow and ONNX inference
Documentation
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[package]
edition = "2024"
rust-version = "1.85"
name = "tract-tensorflow"
version = "0.23.0-dev.2"
authors = ["Mathieu Poumeyrol <kali@zoy.org>"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Tiny, no-nonsense, self contained, TensorFlow and ONNX inference"
readme = false
keywords = [
    "TensorFlow",
    "NeuralNetworks",
    "ONNX",
]
categories = ["science"]
license = "MIT OR Apache-2.0"
repository = "https://github.com/snipsco/tract"
resolver = "2"

[badges.maintenance]
status = "actively-developed"

[features]
conform = ["tensorflow"]

[lib]
name = "tract_tensorflow"
path = "src/lib.rs"

[[example]]
name = "plus3"
path = "examples/plus3.rs"

[[test]]
name = "ops_array_pack"
path = "tests/ops_array_pack.rs"

[[test]]
name = "ops_array_strided_slice"
path = "tests/ops_array_strided_slice.rs"

[[test]]
name = "ops_fake_quant_with_min_max_vars"
path = "tests/ops_fake_quant_with_min_max_vars.rs"

[[test]]
name = "ops_nn_conv2d"
path = "tests/ops_nn_conv2d.rs"

[[test]]
name = "ops_nn_dwconv2d"
path = "tests/ops_nn_dwconv2d.rs"

[[test]]
name = "ops_nn_pools"
path = "tests/ops_nn_pools.rs"

[[test]]
name = "ops_nn_space_to_batch"
path = "tests/ops_nn_space_to_batch.rs"

[[test]]
name = "ops_random_uniform"
path = "tests/ops_random_uniform.rs"

[dependencies.bytes]
version = "1.0.1"

[dependencies.derive-new]
version = "0.5.9"

[dependencies.log]
version = "0.4.14"

[dependencies.memmap2]
version = "0.9"

[dependencies.prost]
version = "0.11.0"

[dependencies.prost-types]
version = "0.11.0"

[dependencies.tensorflow]
version = "0.17.0"
optional = true

[dependencies.tract-hir]
version = "=0.23.0-dev.2"

[dependencies.tract-pulse]
version = "=0.23.0-dev.2"

[dev-dependencies.criterion]
version = "0.6"

[dev-dependencies.env_logger]
version = "0.10"

[dev-dependencies.proptest]
version = "1.0.0"

[dev-dependencies.rand]
version = "0.8.4"
features = ["small_rng"]