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Update Package.swift
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‎Package.swift‎

Lines changed: 186 additions & 177 deletions
Original file line numberDiff line numberDiff line change
@@ -2,186 +2,195 @@
22
import PackageDescription
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let package = Package(
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name: "s4nnc",
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platforms: [
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.macOS(.v13),
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.iOS(.v16),
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.tvOS(.v16),
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.visionOS(.v1)
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],
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products: [
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.library(
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name: "NNC",
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targets: ["NNC"]),
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.library(
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name: "NNCCoreMLConversion",
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targets: ["NNCCoreMLConversion"]),
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.library(
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name: "TensorBoard",
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targets: ["TensorBoard"]),
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],
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dependencies: [
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.package(url: "https://github.com/liuliu/ccv.git", revision: "70be3804a44c760a591858a2ac8261f3267fe85b"),
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.package(url: "https://github.com/weiyanlin117/swift-fpzip-support.git", revision: "0ec6d4668c9c83bc3da0f8b2d6dfc46da0b98609"),
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.package(url: "https://github.com/apple/swift-protobuf.git", revision: "d57a5aecf24a25b32ec4a74be2f5d0a995a47c4b"),
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.package(url: "https://github.com/apple/swift-system.git", revision: "fbd61a676d79cbde05cd4fda3cc46e94d6b8f0eb"),
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],
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targets: [
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// C_zlib - System zlib wrapper
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.target(
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name: "C_zlib",
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path: "nnc/C_zlib",
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publicHeadersPath: ".",
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cSettings: [
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.define("_GNU_SOURCE"),
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],
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linkerSettings: [
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.linkedLibrary("z"),
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]
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),
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name: "s4nnc",
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platforms: [
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.macOS(.v13),
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.iOS(.v16),
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.tvOS(.v16),
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.visionOS(.v1),
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],
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products: [
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.library(
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name: "NNC",
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targets: ["NNC"]),
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.library(
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name: "NNCCoreMLConversion",
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targets: ["NNCCoreMLConversion"]),
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.library(
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name: "TensorBoard",
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targets: ["TensorBoard"]),
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],
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dependencies: [
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.package(
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url: "https://github.com/liuliu/ccv.git", revision: "12b2355e882a8de1e15c1520ed16866694948ab1"
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),
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.package(
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url: "https://github.com/weiyanlin117/swift-fpzip-support.git",
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revision: "0ec6d4668c9c83bc3da0f8b2d6dfc46da0b98609"),
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.package(
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url: "https://github.com/apple/swift-protobuf.git",
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revision: "d57a5aecf24a25b32ec4a74be2f5d0a995a47c4b"),
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.package(
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url: "https://github.com/apple/swift-system.git",
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revision: "fbd61a676d79cbde05cd4fda3cc46e94d6b8f0eb"),
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],
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targets: [
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// C_zlib - System zlib wrapper
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.target(
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name: "C_zlib",
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path: "nnc/C_zlib",
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publicHeadersPath: ".",
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cSettings: [
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.define("_GNU_SOURCE")
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],
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linkerSettings: [
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.linkedLibrary("z")
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]
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),
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// NNC - Main Swift library
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.target(
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name: "NNC",
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dependencies: [
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.product(name: "nnc", package: "ccv"),
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.product(name: "sfmt", package: "ccv"),
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.product(name: "lib_nnc_mps_compat", package: "ccv"),
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.product(name: "C_fpzip", package: "swift-fpzip-support"),
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"C_zlib",
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],
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path: "nnc",
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exclude: [
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"C_ccv",
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"C_nnc",
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"C_sfmt",
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"C_zlib",
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"C_sqlite3",
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"BUILD.bazel",
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"CoreMLConversion.swift",
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"PythonConversion.swift",
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"MuJoCoConversion.swift",
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],
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sources: [
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"AnyModel.swift",
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"AutoGrad.swift",
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"DataFrame.swift",
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"DataFrameAddons.swift",
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"DataFrameCore.swift",
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"DynamicGraph.swift",
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"Functional.swift",
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"FunctionalAddons.swift",
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"GradScaler.swift",
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"Group.swift",
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"Hint.swift",
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"Loss.swift",
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"Model.swift",
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"ModelAddons.swift",
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"ModelBuilder.swift",
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"ModelCore.swift",
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"ModelIOAddons.swift",
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"Operators.swift",
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"Optimizer.swift",
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"OptimizerAddons.swift",
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"Store.swift",
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"StreamContext.swift",
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"Tensor.swift",
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"TensorGroup.swift",
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"Wrapped.swift",
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]
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),
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// NNC - Main Swift library
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.target(
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name: "NNC",
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dependencies: [
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.product(name: "nnc", package: "ccv"),
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.product(name: "sfmt", package: "ccv"),
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.product(name: "lib_nnc_mps_compat", package: "ccv"),
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.product(name: "C_fpzip", package: "swift-fpzip-support"),
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"C_zlib",
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],
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path: "nnc",
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exclude: [
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"C_ccv",
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"C_nnc",
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"C_sfmt",
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"C_zlib",
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"C_sqlite3",
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"BUILD.bazel",
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"CoreMLConversion.swift",
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"PythonConversion.swift",
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"MuJoCoConversion.swift",
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],
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sources: [
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"AnyModel.swift",
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"AutoGrad.swift",
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"DataFrame.swift",
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"DataFrameAddons.swift",
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"DataFrameCore.swift",
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"DynamicGraph.swift",
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"Functional.swift",
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"FunctionalAddons.swift",
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"GradScaler.swift",
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"Group.swift",
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"Hint.swift",
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"Loss.swift",
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"Model.swift",
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"ModelAddons.swift",
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"ModelBuilder.swift",
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"ModelCore.swift",
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"ModelIOAddons.swift",
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"Operators.swift",
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"Optimizer.swift",
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"OptimizerAddons.swift",
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"Store.swift",
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"StreamContext.swift",
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"Tensor.swift",
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"TensorGroup.swift",
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"Wrapped.swift",
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]
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),
93101

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// NNCCoreMLConversion - CoreML conversion utilities
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.target(
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name: "NNCCoreMLConversion",
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dependencies: ["NNC",
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.product(name: "lib_nnc_mps_compat", package: "ccv"),
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.product(name: "sfmt", package: "ccv"),
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],
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path: "nnc",
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exclude: [
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"C_ccv",
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"C_nnc",
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"C_sfmt",
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"C_zlib",
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"C_sqlite3",
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"BUILD.bazel",
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"PythonConversion.swift",
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"MuJoCoConversion.swift",
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"AnyModel.swift",
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"AutoGrad.swift",
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"DataFrame.swift",
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"DataFrameAddons.swift",
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"DataFrameCore.swift",
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"DynamicGraph.swift",
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"Functional.swift",
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"FunctionalAddons.swift",
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"GradScaler.swift",
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"Group.swift",
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"Hint.swift",
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"Loss.swift",
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"Model.swift",
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"ModelAddons.swift",
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"ModelBuilder.swift",
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"ModelCore.swift",
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"ModelIOAddons.swift",
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"Operators.swift",
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"Optimizer.swift",
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"OptimizerAddons.swift",
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"Store.swift",
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"StreamContext.swift",
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"Tensor.swift",
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"TensorGroup.swift",
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"Wrapped.swift",
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],
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sources: ["CoreMLConversion.swift"]
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),
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// NNCCoreMLConversion - CoreML conversion utilities
103+
.target(
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name: "NNCCoreMLConversion",
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dependencies: [
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"NNC",
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.product(name: "lib_nnc_mps_compat", package: "ccv"),
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.product(name: "sfmt", package: "ccv"),
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],
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path: "nnc",
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exclude: [
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"C_ccv",
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"C_nnc",
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"C_sfmt",
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"C_zlib",
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"C_sqlite3",
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"BUILD.bazel",
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"PythonConversion.swift",
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"MuJoCoConversion.swift",
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"AnyModel.swift",
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"AutoGrad.swift",
122+
"DataFrame.swift",
123+
"DataFrameAddons.swift",
124+
"DataFrameCore.swift",
125+
"DynamicGraph.swift",
126+
"Functional.swift",
127+
"FunctionalAddons.swift",
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"GradScaler.swift",
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"Group.swift",
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"Hint.swift",
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"Loss.swift",
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"Model.swift",
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"ModelAddons.swift",
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"ModelBuilder.swift",
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"ModelCore.swift",
136+
"ModelIOAddons.swift",
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"Operators.swift",
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"Optimizer.swift",
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"OptimizerAddons.swift",
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"Store.swift",
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"StreamContext.swift",
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"Tensor.swift",
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"TensorGroup.swift",
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"Wrapped.swift",
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],
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sources: ["CoreMLConversion.swift"]
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),
139148

140-
// TensorBoard - TensorBoard logging support
141-
.target(
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name: "TensorBoard",
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dependencies: [
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"NNC",
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.product(name: "SwiftProtobuf", package: "swift-protobuf"),
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.product(name: "SystemPackage", package: "swift-system"),
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],
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path: "tensorboard",
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exclude: ["BUILD.bazel"]
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),
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// TensorBoard - TensorBoard logging support
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.target(
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name: "TensorBoard",
152+
dependencies: [
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"NNC",
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.product(name: "SwiftProtobuf", package: "swift-protobuf"),
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.product(name: "SystemPackage", package: "swift-system"),
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],
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path: "tensorboard",
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exclude: ["BUILD.bazel"]
159+
),
151160

152-
// Test targets
153-
.testTarget(
154-
name: "NNCTests",
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dependencies: ["NNC"],
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path: "test",
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exclude: [
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"coreml",
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"python",
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"BUILD.bazel",
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],
162-
sources: [
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"dataframe.swift",
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"graph.swift",
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"loss.swift",
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"model.swift",
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"ops.swift",
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"optimizer.swift",
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"store.swift",
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"tensor.swift",
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],
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resources: [
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.copy("scaled_data.csv"),
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.copy("some_variables.db"),
175-
]
176-
),
161+
// Test targets
162+
.testTarget(
163+
name: "NNCTests",
164+
dependencies: ["NNC"],
165+
path: "test",
166+
exclude: [
167+
"coreml",
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"python",
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"BUILD.bazel",
170+
],
171+
sources: [
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"dataframe.swift",
173+
"graph.swift",
174+
"loss.swift",
175+
"model.swift",
176+
"ops.swift",
177+
"optimizer.swift",
178+
"store.swift",
179+
"tensor.swift",
180+
],
181+
resources: [
182+
.copy("scaled_data.csv"),
183+
.copy("some_variables.db"),
184+
]
185+
),
177186

178-
.testTarget(
179-
name: "NNCCoreMLTests",
180-
dependencies: ["NNCCoreMLConversion"],
181-
path: "test/coreml",
182-
sources: [
183-
"mlshapedarray.swift",
184-
]
185-
),
186-
]
187+
.testTarget(
188+
name: "NNCCoreMLTests",
189+
dependencies: ["NNCCoreMLConversion"],
190+
path: "test/coreml",
191+
sources: [
192+
"mlshapedarray.swift"
193+
]
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),
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]
187196
)

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