Kalleby Santos Comments

Kalleby Santos

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DDeno

•Created by amir3683 on 9/27/2024 in #help

Embedding Deno in a Rust App to evaluate dynamic javascript/typescript inputs/files?

You can check the Supabase Edge Runtime source code to get a strong example of embedding deno.

10 replies

DDeno

•Created by amir3683 on 9/27/2024 in #help

Embedding Deno in a Rust App to evaluate dynamic javascript/typescript inputs/files?

You can also use the v8 crate direct to evaluate Js code directly from rust and combine it with the serde_v8 crate to I/O between rust and Js. All of this packages are re-exported by the deno_core crate as well the deno_runtime

10 replies

DDeno

•Created by amir3683 on 9/27/2024 in #help

Embedding Deno in a Rust App to evaluate dynamic javascript/typescript inputs/files?

You can use the deno_runtime crate instead of raw deno_core it comes with standard Deno ops like: like fetch, Deno apis etc... you still need to hand craft the Typescript parser and the external import system like npm, esm etc... but its a good start point since already impl a loot of Js apis

10 replies

DDeno

•Created by Kalleby Santos on 9/24/2024 in #help

RustyV8: Example of creating a TypedArray?

EDIT: I got it, I need to handle the ArrayBuffer length as multiple from the current type:

let buf_store = unsafe {
    v8::ArrayBuffer::new_backing_store_from_ptr(
        tensor_ptr as _,
        tensor_len * size_of::<f32>(), // Here I need to multiply based on type size
        drop_tensor,
        tensor_rc as _,
    )
}
.make_shared();

let buf_store = unsafe {
    v8::ArrayBuffer::new_backing_store_from_ptr(
        tensor_ptr as _,
        tensor_len * size_of::<f32>(), // Here I need to multiply based on type size
        drop_tensor,
        tensor_rc as _,
    )
}
.make_shared();

3 replies

DDeno

•Created by Kalleby Santos on 9/24/2024 in #help

RustyV8: Example of creating a TypedArray?

/** HERE is my problem: **/
// I don't now how to pass: `byte_offset` and `length`

/** TEST 1: Trying a length of 1: **/
let tensor_data = v8::Float32Array::new(scope, array_buffer , 0, 1).unwrap().into()
// JS output: { Float32Array(1) [ 0.22348394989967346 ] } -> But I was expecting an array of 3456 like the raw tensor above.

/** TEST 2: Trying the same length of original buffer [3456]: **/
let length = array_buffer.byte_length(); // $ 3456
let tensor_data = v8::Float32Array::new(scope, array_buffer , 0, length).unwrap().into()
// $ Runtime Error: "Check failed: byte_length <= buffer->GetByteLength()"

/** TEST 3: Trying buffer length -1: **/
let length = array_buffer.byte_length() -1; // $ 3455
let tensor_data = v8::Float32Array::new(scope, array_buffer , 0, length).unwrap().into()
// $ Runtime Error: "Check failed: byte_length <= buffer->GetByteLength()"

/** TEST 4: Trying to divide based on size: **/
let length = array_buffer.byte_length() / size_of::<f32>(); // $ 864
let tensor_data = v8::Float32Array::new(scope, array_buffer , 0, length).unwrap().into()
// JS output: { Float32Array(864) [ 0.22348395, 0.13147816, ...  ] } -> But I was expecting an array of 3456 like the raw tensor above.

/** TEST 5: Trying to divide and offset based on size: **/
let byte_offset = size_of::<f32>(); // 4
let length = array_buffer.byte_length() / size_of::<f32>(); // $ 864
let tensor_data = v8::Float32Array::new(scope, array_buffer , byte_offset, length).unwrap().into()
// $ Runtime Error: Check failed: byte_offset + byte_length <= buffer->GetByteLength()

/** HERE is my problem: **/
// I don't now how to pass: `byte_offset` and `length`

/** TEST 1: Trying a length of 1: **/
let tensor_data = v8::Float32Array::new(scope, array_buffer , 0, 1).unwrap().into()
// JS output: { Float32Array(1) [ 0.22348394989967346 ] } -> But I was expecting an array of 3456 like the raw tensor above.

/** TEST 2: Trying the same length of original buffer [3456]: **/
let length = array_buffer.byte_length(); // $ 3456
let tensor_data = v8::Float32Array::new(scope, array_buffer , 0, length).unwrap().into()
// $ Runtime Error: "Check failed: byte_length <= buffer->GetByteLength()"

/** TEST 3: Trying buffer length -1: **/
let length = array_buffer.byte_length() -1; // $ 3455
let tensor_data = v8::Float32Array::new(scope, array_buffer , 0, length).unwrap().into()
// $ Runtime Error: "Check failed: byte_length <= buffer->GetByteLength()"

/** TEST 4: Trying to divide based on size: **/
let length = array_buffer.byte_length() / size_of::<f32>(); // $ 864
let tensor_data = v8::Float32Array::new(scope, array_buffer , 0, length).unwrap().into()
// JS output: { Float32Array(864) [ 0.22348395, 0.13147816, ...  ] } -> But I was expecting an array of 3456 like the raw tensor above.

/** TEST 5: Trying to divide and offset based on size: **/
let byte_offset = size_of::<f32>(); // 4
let length = array_buffer.byte_length() / size_of::<f32>(); // $ 864
let tensor_data = v8::Float32Array::new(scope, array_buffer , byte_offset, length).unwrap().into()
// $ Runtime Error: Check failed: byte_offset + byte_length <= buffer->GetByteLength()

3 replies