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Tensor library for Gleam/BEAM with a pure Gleam API, zero-copy views, and optional native acceleration
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src/viva_tensor.app.src
{application, viva_tensor, [
{vsn, "2.2.100"},
{applications, [gleam_stdlib,
viva_telemetry]},
{description, "High-performance tensor library for Gleam/BEAM with Zig NIF, Intel MKL (931 GFLOPS), CUDA Tensor Cores (1854 TOPS), and quantization"},
{modules, [viva_tensor,
viva_tensor@@main,
viva_tensor@axis,
viva_tensor@backend@protocol,
viva_tensor@bench@concurrent,
viva_tensor@bench@full,
viva_tensor@bench@gflops,
viva_tensor@bench@gpu,
viva_tensor@bench@nif,
viva_tensor@bench@rtx,
viva_tensor@bench@tflops,
viva_tensor@benchmark,
viva_tensor@blas,
viva_tensor@core@config,
viva_tensor@core@dtype,
viva_tensor@core@error,
viva_tensor@core@ffi,
viva_tensor@core@ops,
viva_tensor@core@shape,
viva_tensor@core@tensor,
viva_tensor@cuda,
viva_tensor@examples@backend,
viva_tensor@examples@demo,
viva_tensor@examples@training,
viva_tensor@hdc,
viva_tensor@horde,
viva_tensor@lns,
viva_tensor@metrics,
viva_tensor@named,
viva_tensor@nn@autograd,
viva_tensor@nn@flash_attention,
viva_tensor@nn@layers,
viva_tensor@optim@auto_tune,
viva_tensor@optim@backend,
viva_tensor@optim@blackwell,
viva_tensor@optim@pool,
viva_tensor@optim@rtx4090,
viva_tensor@optim@sparsity,
viva_tensor@quant,
viva_tensor@quant@awq,
viva_tensor@quant@compression,
viva_tensor@quant@nf4,
viva_tensor@sparse,
viva_tensor@telemetry,
viva_tensor@tensor,
viva_tensor@tflops,
viva_tensor_blas,
viva_tensor_distributed,
viva_tensor_ffi,
viva_tensor_nif,
viva_tensor_zig]},
{registered, []}
]}.