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Fix upper bounds in neural_nets_lib to prepare for arrayjit.0.4.1 #26576

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Sep 17, 2024
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Fix upper bounds in neural_nets_lib to prepare for arrayjit.0.4.1 #26576

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36a07fc
Fix upper bounds in neural_nets_lib to prepare for arrayjit.0.4.1
lukstafi Sep 17, 2024
c89c108
Fix opam lint: missing maintainer email
lukstafi Sep 17, 2024
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4 changes: 2 additions & 2 deletions packages/neural_nets_lib/neural_nets_lib.0.3.3/opam
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ synopsis:
"A from-scratch Deep Learning framework with an optimizing compiler, shape inference, concise syntax"
description:
"OCaml Compiles Algorithms for Neural Networks Learning is a compiled Deep Learning framework that puts emphasis on low-level backends (like TinyGrad), shape inference, concise notation (ab)using PPX."
maintainer: ["Lukasz Stafiniak"]
maintainer: ["Lukasz Stafiniak <[email protected]>"]
authors: ["Lukasz Stafiniak"]
license: "BSD-2-Clause"
tags: ["deeplearning" "tensor" "backprop" "jit" "gccjit" "CUDA"]
Expand All @@ -16,7 +16,7 @@ depends: [
"dune" {>= "3.11"}
"base"
"core"
"arrayjit"
"arrayjit" {= "0.3.3"}
"printbox"
"printbox-text"
"ocannl_npy"
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4 changes: 2 additions & 2 deletions packages/neural_nets_lib/neural_nets_lib.0.4.0/opam
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ synopsis:
"A from-scratch Deep Learning framework with an optimizing compiler, shape inference, concise syntax"
description:
"OCaml Compiles Algorithms for Neural Networks Learning is a compiled Deep Learning framework that puts emphasis on low-level backends (like tinygrad), shape inference, concise notation (ab)using PPX."
maintainer: ["Lukasz Stafiniak"]
maintainer: ["Lukasz Stafiniak <[email protected]>"]
authors: ["Lukasz Stafiniak"]
license: "BSD-2-Clause"
tags: ["deeplearning" "tensor" "backprop" "jit" "gccjit" "CUDA"]
Expand All @@ -16,7 +16,7 @@ depends: [
"dune" {>= "3.11"}
"base"
"core"
"arrayjit"
"arrayjit" {= "0.4.0"}
"printbox"
"printbox-text"
"ocannl_npy"
Expand Down
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