diff --git a/caisar.opam b/caisar.opam
index e3397717f6757d1b74cd46a4264e62c5762d3ca5..403bae2efa898c4683b5ceddc3f3f86c883e61ab 100644
--- a/caisar.opam
+++ b/caisar.opam
@@ -25,7 +25,7 @@ depends: [
"odoc" {with-doc}
]
build: [
- ["dune" "subst" "--root" "."] {dev}
+ ["dune" "subst"] {dev}
[
"dune"
"build"
@@ -33,8 +33,7 @@ build: [
name
"-j"
jobs
- "--promote-install-files"
- "false"
+ "--promote-install-files=false"
"@install"
"@runtest" {with-test}
"@doc" {with-doc}
diff --git a/nnet.opam b/nnet.opam
index dbc488d7ebd966482f56e88b31b7cb41a4d09c41..aa2ffd8b08b83e5d09134e0904ee1293c9d9959a 100644
--- a/nnet.opam
+++ b/nnet.opam
@@ -2,14 +2,6 @@
opam-version: "2.0"
version: "0.1"
synopsis: "NNet parser"
-maintainer: ["Michele Alberti" "François Bobot" "Julien Girard-Satabin"]
-authors: [
- "Michele Alberti"
- "François Bobot"
- "Julien Girard-Satabin"
- "Zakaria Chihani"
-]
-bug-reports: "julien.girard2@cea.fr"
depends: [
"ocaml" {>= "4.10"}
"dune" {>= "2.9" & >= "2.9.1"}
@@ -17,7 +9,7 @@ depends: [
"odoc" {with-doc}
]
build: [
- ["dune" "subst" "--root" "."] {dev}
+ ["dune" "subst"] {dev}
[
"dune"
"build"
@@ -25,8 +17,7 @@ build: [
name
"-j"
jobs
- "--promote-install-files"
- "false"
+ "--promote-install-files=false"
"@install"
"@runtest" {with-test}
"@doc" {with-doc}
diff --git a/onnx.opam b/onnx.opam
index a37a869ed2dca7dcdc97c6707cfcf7e753c5b20b..dd5558135befdf02b5def8c6aae20d3f34470fb0 100644
--- a/onnx.opam
+++ b/onnx.opam
@@ -2,14 +2,6 @@
opam-version: "2.0"
version: "0.1"
synopsis: "ONNX parser"
-maintainer: ["Michele Alberti" "François Bobot" "Julien Girard-Satabin"]
-authors: [
- "Michele Alberti"
- "François Bobot"
- "Julien Girard-Satabin"
- "Zakaria Chihani"
-]
-bug-reports: "julien.girard2@cea.fr"
depends: [
"ocaml" {>= "4.10"}
"dune" {>= "2.9" & >= "2.9.1"}
diff --git a/src/language.ml b/src/language.ml
index f774f546003a913a74b8235728b83d9a018fb571..1b8a2773f450bc0feba571807646e41e6d64dd40 100644
--- a/src/language.ml
+++ b/src/language.ml
@@ -8,7 +8,7 @@ open Base
(* -- Support for the NNet and ONNX neural network format. *)
-type net = {
+type ioshape = {
nb_inputs : int;
nb_outputs : int;
ty_data : Why3.Ty.ty;
@@ -19,13 +19,30 @@ let loaded_nets = Why3.Term.Hls.create 10
let lookup_loaded_nets = Why3.Term.Hls.find_opt loaded_nets
+let register_ioshape nb_inputs nb_outputs ioshape_input_type filename th_uc =
+ let open Why3 in
+ let ls_net_apply =
+ let f _ = ioshape_input_type in
+ Term.create_fsymbol
+ (Ident.id_fresh "net_apply")
+ (List.init nb_inputs ~f)
+ (Ty.ty_tuple (List.init nb_outputs ~f))
+ in
+ Why3.Term.Hls.add loaded_nets ls_net_apply
+ { filename; nb_inputs; nb_outputs; ty_data = ioshape_input_type };
+ let th_uc =
+ Pmodule.add_pdecl ~vc:false th_uc
+ (Pdecl.create_pure_decl (Decl.create_param_decl ls_net_apply))
+ in
+ Wstdlib.Mstr.singleton "AsTuple" (Pmodule.close_module th_uc)
+
let nnet_parser env _ filename _ =
let open Why3 in
let header = Nnet.parse filename in
match header with
| Error s -> Loc.errorm "%s" s
| Ok header ->
- let nnet = Pmodule.read_module env [ "caisar" ] "NNet" in
+ let nnet = Pmodule.read_module env [ "caisar" ] "IOShape" in
let nnet_input_type =
Ty.ty_app
Theory.(ns_find_ts nnet.mod_theory.th_export [ "input_type" ])
@@ -34,25 +51,8 @@ let nnet_parser env _ filename _ =
let id_as_tuple = Ident.id_fresh "AsTuple" in
let th_uc = Pmodule.create_module env id_as_tuple in
let th_uc = Pmodule.use_export th_uc nnet in
- let ls_nnet_apply =
- let f _ = nnet_input_type in
- Term.create_fsymbol
- (Ident.id_fresh "nnet_apply")
- (List.init header.n_inputs ~f)
- (Ty.ty_tuple (List.init header.n_outputs ~f))
- in
- Why3.Term.Hls.add loaded_nets ls_nnet_apply
- {
- filename;
- nb_inputs = header.n_inputs;
- nb_outputs = header.n_outputs;
- ty_data = nnet_input_type;
- };
- let th_uc =
- Pmodule.add_pdecl ~vc:false th_uc
- (Pdecl.create_pure_decl (Decl.create_param_decl ls_nnet_apply))
- in
- Wstdlib.Mstr.singleton "AsTuple" (Pmodule.close_module th_uc)
+ register_ioshape header.n_inputs header.n_outputs nnet_input_type filename
+ th_uc
let onnx_parser env _ filename _ =
let open Why3 in
@@ -60,7 +60,7 @@ let onnx_parser env _ filename _ =
match header with
| Error s -> Loc.errorm "%s" s
| Ok model ->
- let onnx = Pmodule.read_module env [ "caisar" ] "NNet" in
+ let onnx = Pmodule.read_module env [ "caisar" ] "IOShape" in
let onnx_input_type =
Ty.ty_app
Theory.(ns_find_ts onnx.mod_theory.th_export [ "input_type" ])
@@ -96,26 +96,8 @@ let onnx_parser env _ filename _ =
in
let input_flat_dim = flattened_dim input_shape in
let output_flat_dim = flattened_dim output_shape in
- let ls_onnx_apply =
- (* TODO: find out input and output size for ONNX. *)
- let f _ = onnx_input_type in
- Term.create_fsymbol
- (Ident.id_fresh "onnx_apply")
- (List.init input_flat_dim ~f)
- (Ty.ty_tuple (List.init output_flat_dim ~f))
- in
- Why3.Term.Hls.add loaded_nets ls_onnx_apply
- {
- filename;
- nb_inputs = input_flat_dim;
- nb_outputs = output_flat_dim;
- ty_data = onnx_input_type;
- };
- let th_uc =
- Pmodule.add_pdecl ~vc:false th_uc
- (Pdecl.create_pure_decl (Decl.create_param_decl ls_onnx_apply))
- in
- Wstdlib.Mstr.singleton "AsTuple" (Pmodule.close_module th_uc)
+ register_ioshape input_flat_dim output_flat_dim onnx_input_type filename
+ th_uc
let register_nnet_support () =
Why3.(
diff --git a/src/language.mli b/src/language.mli
index 33606475a1d214098bc012851295a93b69bf9b7e..f1d1fcabeff3011ebe2235a8ebac2dd91fbf3dd4 100644
--- a/src/language.mli
+++ b/src/language.mli
@@ -4,14 +4,14 @@
(* *)
(**************************************************************************)
-type net = {
+type ioshape = {
nb_inputs : int;
nb_outputs : int;
ty_data : Why3.Ty.ty;
filename : string;
}
-val lookup_loaded_nets : Why3.Term.lsymbol -> net option
+val lookup_loaded_nets : Why3.Term.lsymbol -> ioshape option
(** @return the filename of a nnet Why3 representation. *)
val register_nnet_support : unit -> unit
diff --git a/stdlib/caisar.mlw b/stdlib/caisar.mlw
index c29586772de968684847674cfe0347514ebc3204..9166a2a923317ff4bd192e7a27bba880dd625628 100644
--- a/stdlib/caisar.mlw
+++ b/stdlib/caisar.mlw
@@ -1,4 +1,4 @@
-theory NNet
+theory IOShape
use ieee_float.Float64
type input_type = t
end