chore: bump deps

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2023 Denosaurs
+Copyright (c) 2024 Denosaurs
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -17,7 +17,7 @@
  </p>
 <hr/>
 
-## Powerful Machine Learning library for Deno.
+## Powerful Machine Learning library for Deno
 
 ## Features
 
@@ -253,7 +253,7 @@ console.log(`1 xor 1 = ${out4[0]} (should be close to 0)`);
 ### Documentation
 
 The full documentation for Netsaur can be found
-[here](https://deno.land/x/netsaur@0.2.15/mod.ts).
+[here](https://deno.land/x/netsaur@0.3.0/mod.ts).
 
 ### License
 

crates/core-gpu/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 edition = "2021"
 name = "netsaur-gpu"
-version = "0.2.15"
+version = "0.3.0"
 
 [lib]
 crate-type = ["cdylib"]

crates/core/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 edition = "2021"
 name = "netsaur"
-version = "0.2.15"
+version = "0.3.0"
 
 [lib]
 crate-type = ["cdylib"]

crates/core/src/wasm.rs

@@ -59,11 +59,11 @@ pub fn wasm_backend_predict(id: usize, buffer: Float32Array, options: String) ->
     let options: PredictOptions = serde_json::from_str(&options).unwrap();
     let inputs = ArrayD::from_shape_vec(options.input_shape, buffer.to_vec()).unwrap();
 
-    let mut res = ArrayD::zeros(options.output_shape);
+    let res = ArrayD::zeros(options.output_shape);
 
     RESOURCES.with(|cell| {
         let mut backend = cell.backend.borrow_mut();
-        let res = backend[id].predict(inputs, options.layers);
+        let _res = backend[id].predict(inputs, options.layers);
     });
     Float32Array::from(res.as_slice().unwrap())
 }

crates/tokenizers/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 edition = "2021"
 name = "netsaur-tokenizers"
-version = "0.2.15"
+version = "0.3.0"
 
 [lib]
 crate-type = ["cdylib"]

data/deps.ts

@@ -1 +1 @@
-export { CsvParseStream } from "https://deno.land/std@0.208.0/csv/csv_parse_stream.ts";
+export { CsvParseStream } from "https://deno.land/std@0.214.0/csv/csv_parse_stream.ts";

deno.json

@@ -1,24 +1,23 @@
 {
   "tasks": {
-    "example:xor": "deno run -A --unstable ./examples/xor_auto.ts",
-    "example:xor-option": "deno run -A --unstable ./examples/xor_option.ts",
-    "example:xor-cpu": "deno run -A --unstable ./examples/xor_cpu.ts",
-    "example:xor-gpu": "deno run -A --unstable ./examples/xor_gpu.ts",
-    "example:xor-wasm": "deno run -A --unstable ./examples/xor_wasm.ts",
-    "example:linear": "deno run -A --unstable ./examples/linear.ts",
-    "example:multiple-linear": "deno run -A --unstable ./examples/multiple-linear/student.ts",
-    "example:binary": "deno run -A --unstable ./examples/classification/binary_iris.ts",
-    "example:multiclass": "deno run -A --unstable ./examples/classification/iris.ts",
-    "example:text": "deno run -A --unstable ./examples/classification/spam.ts",
-    "example:filters": "deno run -A --unstable examples/filters/conv.ts ",
-    "example:autoencoder": "deno run -A --unstable examples/autoencoders/test.ts ",
-    "example:train": "deno run -A --unstable examples/model/train.ts ",
-    "example:run": "deno run -A --unstable examples/model/run.ts ",
-    "example:mnist-download": "deno run -A --unstable examples/mnist/download.ts ",
-    "example:mnist-train": "deno run -A --unstable examples/mnist/train.ts ",
-    "example:mnist-predict": "deno run -A --unstable examples/mnist/predict.ts ",
-    "example:tokenizers-basic": "deno run -A --unstable examples/tokenizers/basic.ts",
-    "build": "deno task build:cpu && deno task build:wasm && deno task build:gpu && deno task build:tokenizers",
+    "example:xor": "deno run -A --unstable-ffi ./examples/xor_auto.ts",
+    "example:xor-option": "deno run -A --unstable-ffi ./examples/xor_option.ts",
+    "example:xor-cpu": "deno run -A --unstable-ffi ./examples/xor_cpu.ts",
+    "example:xor-gpu": "deno run -A --unstable-ffi ./examples/xor_gpu.ts",
+    "example:xor-wasm": "deno run -A ./examples/xor_wasm.ts",
+    "example:linear": "deno run -A --unstable-ffi ./examples/linear.ts",
+    "example:multiple-linear": "deno run -A --unstable-ffi ./examples/multiple-linear/student.ts",
+    "example:binary": "deno run -A --unstable-ffi ./examples/classification/binary_iris.ts",
+    "example:multiclass": "deno run -A --unstable-ffi ./examples/classification/iris.ts",
+    "example:text": "deno run -A --unstable-ffi ./examples/classification/spam.ts",
+    "example:filters": "deno run -A --unstable-ffi examples/filters/conv.ts ",
+    "example:train": "deno run -A --unstable-ffi examples/model/train.ts ",
+    "example:run": "deno run -A --unstable-ffi examples/model/run.ts ",
+    "example:mnist-download": "deno run -A --unstable-ffi examples/mnist/download.ts ",
+    "example:mnist-train": "deno run -A --unstable-ffi examples/mnist/train.ts ",
+    "example:mnist-predict": "deno run -A --unstable-ffi examples/mnist/predict.ts ",
+    "example:tokenizers-basic": "deno run -A examples/tokenizers/basic.ts",
+    "build": "deno task build:cpu && deno task build:wasm && deno task build:tokenizers",
     "build:cpu": "cargo build --release -p netsaur",
     "build:gpu": "cargo build --release -p netsaur-gpu",
     "build:wasm": "deno run -A https://deno.land/x/[email protected]/main.ts -p netsaur --out src/backends/wasm/lib",

examples/multiple-linear/README.md

@@ -1,2 +1,3 @@
 # Multiple Linear Regression
-This example showcases linear regression on a dataset with multiple variables. 
+
+This example showcases linear regression on a dataset with multiple variables.

examples/multiple-linear/student.ts

@@ -10,7 +10,7 @@ import {
   tensor2D,
 } from "../../mod.ts";
 
-import { parse } from "https://deno.land/std@0.204.0/csv/parse.ts";
+import { parse } from "https://deno.land/std@0.214.0/csv/parse.ts";
 
 // Import helpers for splitting dataset
 import { useSplit } from "https://deno.land/x/[email protected]/mod.ts";

examples/visualize.ipynb

@@ -63,8 +63,8 @@
     }
    ],
    "source": [
-    "import { tensor1D } from \"https://deno.land/x/netsaur@0.2.15/mod.ts\";\n",
-    "import { Visualizer } from \"https://deno.land/x/netsaur@0.2.15/visualizer/mod.ts\";\n",
+    "import { tensor1D } from \"https://deno.land/x/netsaur@0.3.0/mod.ts\";\n",
+    "import { Visualizer } from \"https://deno.land/x/netsaur@0.3.0/visualizer/mod.ts\";\n",
     "\n",
     "import {\n",
     "  Cost,\n",
@@ -74,7 +74,7 @@
     "  setupBackend,\n",
     "  SigmoidLayer,\n",
     "  tensor2D,\n",
-    "} from \"https://deno.land/x/netsaur@0.2.15/mod.ts\";\n",
+    "} from \"https://deno.land/x/netsaur@0.3.0/mod.ts\";\n",
     "  \n",
     "await setupBackend(AUTO);\n",
     "\n",

examples/xor.ipynb

@@ -36,7 +36,7 @@
     }
    ],
    "source": [
-    "import { setupBackend, CPU } from \"https://deno.land/x/netsaur@0.2.15/mod.ts\";\n",
+    "import { setupBackend, CPU } from \"https://deno.land/x/netsaur@0.3.0/mod.ts\";\n",
     "await setupBackend(CPU);"
    ]
   },
@@ -68,7 +68,7 @@
     }
    ],
    "source": [
-    "import { setupBackend, WASM } from \"https://deno.land/x/netsaur@0.2.15/mod.ts\";\n",
+    "import { setupBackend, WASM } from \"https://deno.land/x/netsaur@0.3.0/mod.ts\";\n",
     "await setupBackend(WASM);"
    ]
   },
@@ -92,7 +92,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import { setupBackend, GPU } from \"https://deno.land/x/netsaur@0.2.15/mod.ts\";\n",
+    "import { setupBackend, GPU } from \"https://deno.land/x/netsaur@0.3.0/mod.ts\";\n",
     "await setupBackend(GPU);"
    ]
   },
@@ -109,7 +109,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import { Sequential, DenseLayer, SigmoidLayer, Cost, tensor2D, tensor1D } from \"https://deno.land/x/netsaur@0.2.15/mod.ts\";\n",
+    "import { Sequential, DenseLayer, SigmoidLayer, Cost, tensor2D, tensor1D } from \"https://deno.land/x/netsaur@0.3.0/mod.ts\";\n",
     "const net = new Sequential({\n",
     "    /**\n",
     "     * The number of minibatches is set to 4 and the output size is set to 2.\n",

src/backends/cpu/mod.ts

@@ -15,7 +15,7 @@ const options: FetchOptions = {
   name: "netsaur",
   url: new URL(import.meta.url).protocol !== "file:"
     ? new URL(
-      "https://github.com/denosaurs/netsaur/releases/download/0.2.15/",
+      "https://github.com/denosaurs/netsaur/releases/download/0.3.0/",
       import.meta.url,
     )
     : "./target/release/",

src/backends/gpu/mod.ts

@@ -15,7 +15,7 @@ const options: FetchOptions = {
   name: "netsaur_gpu",
   url: new URL(import.meta.url).protocol !== "file:"
     ? new URL(
-      "https://github.com/denosaurs/netsaur/releases/download/0.2.15/",
+      "https://github.com/denosaurs/netsaur/releases/download/0.3.0/",
       import.meta.url,
     )
     : "./target/release/",

src/backends/wasm/lib/netsaur.generated.js

@@ -1,7 +1,7 @@
 // @generated file from wasmbuild -- do not edit
 // deno-lint-ignore-file
 // deno-fmt-ignore-file
-// source-hash: a728f73002f1cb653f10fe9495ef33f79d70a523
+// source-hash: c9542d0a368cde5bdc27d321129d74bf6d2c53ee
 let wasm;
 let cachedInt32Memory0;
 
@@ -203,23 +203,13 @@ const imports = {
     __wbindgen_object_drop_ref: function (arg0) {
       takeObject(arg0);
     },
-    __wbg_log_8d8708b5d26d7ac1: function (arg0, arg1) {
+    __wbg_log_05fb09f7b2225305: function (arg0, arg1) {
       console.log(getStringFromWasm0(arg0, arg1));
     },
     __wbindgen_number_new: function (arg0) {
       const ret = arg0;
       return addHeapObject(ret);
     },
-    __wbg_getRandomValues_37fa2ca9e4e07fab: function () {
-      return handleError(function (arg0, arg1) {
-        getObject(arg0).getRandomValues(getObject(arg1));
-      }, arguments);
-    },
-    __wbg_randomFillSync_dc1e9a60c158336d: function () {
-      return handleError(function (arg0, arg1) {
-        getObject(arg0).randomFillSync(takeObject(arg1));
-      }, arguments);
-    },
     __wbg_crypto_c48a774b022d20ac: function (arg0) {
       const ret = getObject(arg0).crypto;
       return addHeapObject(ret);
@@ -263,6 +253,16 @@ const imports = {
       const ret = getStringFromWasm0(arg0, arg1);
       return addHeapObject(ret);
     },
+    __wbg_randomFillSync_dc1e9a60c158336d: function () {
+      return handleError(function (arg0, arg1) {
+        getObject(arg0).randomFillSync(takeObject(arg1));
+      }, arguments);
+    },
+    __wbg_getRandomValues_37fa2ca9e4e07fab: function () {
+      return handleError(function (arg0, arg1) {
+        getObject(arg0).getRandomValues(getObject(arg1));
+      }, arguments);
+    },
     __wbg_newnoargs_2b8b6bd7753c76ba: function (arg0, arg1) {
       const ret = new Function(getStringFromWasm0(arg0, arg1));
       return addHeapObject(ret);

src/backends/wasm/mod.ts

@@ -22,7 +22,7 @@ export class WASMInstance {
     await instantiate({
       url: new URL(import.meta.url).protocol !== "file:"
         ? new URL(
-          "https://github.com/denosaurs/netsaur/releases/download/0.2.15/netsaur_bg.wasm",
+          "https://github.com/denosaurs/netsaur/releases/download/0.3.0/netsaur_bg.wasm",
           import.meta.url,
         )
         : undefined,

src/core/engine.ts

@@ -2,8 +2,7 @@ import { WASM } from "../backends/wasm/mod.ts";
 import { Sequential } from "./mod.ts";
 import { Backend, BackendType, NetworkConfig } from "./types.ts";
 
-// deno-lint-ignore no-window-prefix
-window.onerror = () => {
+onerror = () => {
   if (typeof Deno == "undefined") {
     throw new Error(
       "Warning: Deno is not defined. Did you mean to import from ./web.ts instead of ./mod.ts?",