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RayBNN_DataLoader

Data Loader for RayBNN

Read CSV, numpy, and binary files to Rust vectors of f16, f32, f64, u8, u16, u32, u64, i8, i16, i32, i64

Read CSV, numpy, and binary files to Arrayfire GPU arrays of f16, f32, f64, u8, u16, u32, u64, i8, i16, i32, i64

Add to Cargo.toml

arrayfire = { version = "3.8.1", package = "arrayfire_fork" }
rayon = "1.7.0"
num = "0.4.1"
num-traits = "0.2.16"
half = { version = "2.3.1" , features = ["num-traits"] }
RayBNN_DataLoader = "0.1.1"

List of Examples

Read a CSV file to a floating point 64 bit CPU Vector

The vector is completely flat

let (mut cpu_vector,metadata) = RayBNN_DataLoader::Dataset::CSV::file_to_vec_cpu::<f64>(
    "./test_data/read_test.dat"
);

Read a CSV file to a integer 64 bit CPU Vector

The vector is completely flat

let (mut cpu_vector,metadata) = RayBNN_DataLoader::Dataset::CSV::file_to_vec_cpu::<i64>(
    "./test_data/read_test2.dat"
);

Read a CSV file to a floating point 64 bit arrayfire

The array is 2D existing in GPU or OpenCL

let read_test = RayBNN_DataLoader::Dataset::CSV::file_to_arrayfire::<f64>(
    "./test_data/read_test.dat"
);

Write a float 32 bit CPU vector to CSV file

let mut metadata: HashMap<&str,u64> = HashMap::new();

metadata.insert("dim0", 11);
metadata.insert("dim1", 3);

RayBNN_DataLoader::Dataset::CSV::write_vec_cpu_to_csv::<f32>(
    "./randvec2.csv",
    &randvec,
    &metadata
);

Write a float 64 bit arrayfire to CSV file

RayBNN_DataLoader::Dataset::CSV::write_arrayfire_to_csv::<f64>(
    "./randvec.csv",
    &arr
);

RayBNN_DataLoader 0.1.1