mirror of
https://github.com/spacedriveapp/spacedrive
synced 2024-07-07 04:23:29 +00:00
6b760b0b2a
* Moving file-path-helper to a sub-crate on core * Parallel walker tested and working * Change inner core crate names to sd-core-* naming scheme * Moving stuff around * Save and Update tasks for the new indexer job * Some initial drafts on the new job system * More drafts on job system * Changing walker task to a more explicit state machine Also drafting more of job system * More drafting on job resume * Completed the draft on job system inner workings * New job context abstraction to decouple library stuff from job system * Properly use composition on task dispatcher * First draft on indexer job * Job serialization * Handling ancestors in the distributed walker for indexer * Saving computed directories sizes on a location to db * Enable a way to check if jobs are running in a location * Progress reporting on indexer job * Reorganizing modules * Shallow indexer * Rust fmt * Attempting windows CI fix * Attempting windows CI fix again * Attempting windows CI fix again
80 lines
2.5 KiB
TOML
80 lines
2.5 KiB
TOML
[package]
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name = "sd-ai"
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version = "0.1.0"
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authors = ["Ericson Soares <ericson@spacedrive.com>"]
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readme = "README.md"
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description = "A simple library to generate video thumbnails using ffmpeg with the webp format"
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rust-version = "1.75.0"
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license = { workspace = true }
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repository = { workspace = true }
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edition = { workspace = true }
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[dependencies]
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# Inner Core Sub-crates
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sd-core-file-path-helper = { path = "../../core/crates/file-path-helper" }
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sd-core-prisma-helpers = { path = "../../core/crates/prisma-helpers" }
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sd-core-sync = { path = "../../core/crates/sync" }
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# Spacedrive Sub-crates
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sd-prisma = { path = "../prisma" }
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sd-sync = { path = "../sync" }
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sd-utils = { path = "../utils" }
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async-channel = { workspace = true }
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chrono = { workspace = true, features = ["serde"] }
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futures = { workspace = true }
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futures-concurrency = { workspace = true }
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image = { workspace = true }
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once_cell = { workspace = true }
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prisma-client-rust = { workspace = true }
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reqwest = { workspace = true, features = ["stream", "native-tls-vendored"] }
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rmp-serde = { workspace = true }
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serde = { workspace = true, features = ["derive"] }
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serde_json = { workspace = true }
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thiserror = { workspace = true }
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tokio = { workspace = true, features = ["fs"] }
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tokio-stream = { workspace = true }
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tracing = { workspace = true }
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url = '2.5.0'
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uuid = { workspace = true, features = ["v4", "serde"] }
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# Note: Keep same version as used by ort
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ndarray = { version = "0.15.6" }
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half = { version = "2.1", features = ['num-traits'] }
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rmpv.workspace = true
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# Microsoft does not provide a release for osx-gpu. See: https://github.com/microsoft/onnxruntime/releases
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# "gpu" means CUDA or TensorRT EP. Thus, the ort crate cannot download them at build time.
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# Ref: https://github.com/pykeio/ort/blob/d7defd1862969b4b44f7f3f4b9c72263690bd67b/build.rs#L148
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[target.'cfg(target_os = "windows")'.dependencies]
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ort = { version = "=2.0.0-rc.0", default-features = false, features = [
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"ndarray",
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"half",
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"load-dynamic",
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"directml",
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] }
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[target.'cfg(target_os = "linux")'.dependencies]
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ort = { version = "=2.0.0-rc.0", default-features = false, features = [
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"ndarray",
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"half",
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"xnnpack",
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] }
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# [target.'cfg(target_os = "android")'.dependencies]
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# ort = { version = "=2.0.0-rc.0", default-features = false, features = [
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# "half",
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# "load-dynamic",
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# "qnn",
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# "nnapi",
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# "xnnpack",
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# "acl",
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# "armnn",
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# ] }
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[target.'cfg(any(target_os = "macos", target_os = "ios"))'.dependencies]
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ort = { version = "=2.0.0-rc.0", features = [
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"ndarray",
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"half",
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"load-dynamic",
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"coreml",
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"xnnpack",
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] }
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