package caisar

  1. Overview
  2. Docs
A platform for characterizing the safety and robustness of artificial intelligence based software

Install 

dune-project
 Dependency

git.frama-c.com Readme Changelog Edit opam file Versions (8)

Authors

  1. A
    AISER team, Software Safety and Security Laboratory, CEA-List

Maintainers

  1. A
    AISER team, Software Safety and Security Laboratory, CEA-List

Sources

caisar-5.0.tbz
sha256=05024c094f68b82873f2c99c89d4f196049ac63b7d1d4f68ae1a1e3b08de7342
sha512=a26c724a19fca7c22a000367d1cd79c1e0474f373bf7265449928e55275ac44103190536dc8c76f5ac00a2a1897c3bd2ee06bb6f22140165079b72a27011e6df

doc/caisar.nir/Nir/Gentensor/index.html

Module Nir.GentensorSource

Sourcetype t =
  1. | Float of (float, Bigarray.float64_elt) Tensor.t
  2. | Int8 of (int, Bigarray.int8_signed_elt) Tensor.t
  3. | UInt8 of (int, Bigarray.int8_unsigned_elt) Tensor.t
  4. | Int32 of (int32, Bigarray.int32_elt) Tensor.t
  5. | Int64 of (int64, Bigarray.int64_elt) Tensor.t
Sourceval create_1_float : float -> t
Sourceval create_1_int64 : int64 -> t
Sourceval create_const_float : Shape.t -> float -> t

create_const_float shape v returns a tensor of shape shape where each value is initialized to v.

Sourceval of_float_array : ?shape:Shape.t -> float array -> t

of_float_array a shape returns a Tensor with data contained in l and shape shape. If no shape is given, the resulting tensor shape is 1-dimensional, equals to the length of l.

Sourceval of_int64_array : ?shape:Shape.t -> int64 array -> t

of_int64_array a shape returns a Tensor with data contained in l and shape shape. If no shape is given, the resulting tensor shape is 1-dimensional, equals to the length of l.

Sourceval of_float_matrix : ?trans:bool -> float array array -> t

of_float_matrix trans m returns a Tensor with data contained in m. If trans is true (default: false), then m is transposed, i.e., if m had shape (n,k), then the result will have shape (k,n).

Sourceval of_reversed_float_matrix : float array array -> t

of_float_matrix m returns a Tensor with data contained in m but in reversed shape. In other words, if m had shape (n,k), then the result has shape (k,n).

Sourceval shape : t -> Shape.t