gpu_tensor 1.2.1 
gpu_tensor: ^1.2.1 copied to clipboard
practicalxr.comA comprehensive GPU tensor library for Dart and Flutter, designed to leverage the power of webgpu across platforms for efficient tensor operations.
We analyzed this package 12 hours ago, and awarded it 140 pub points (of a possible 160):
0/10 points: Provide a valid pubspec.yaml
Failed to verify repository URL.
Please provide a valid repository URL in pubspec.yaml, such that:
repositorycan be cloned,- a clone of the repository contains a
pubspec.yaml, which:,- contains
name: gpu_tensor, - contains a
versionproperty, and, - does not contain a
publish_toproperty.
- contains
gpu_tensor/pubspec.yaml from the repository defines publish_to, thus, we are unable to verify the package is published from here.
5/5 points: Provide a valid README.md
5/5 points: Provide a valid CHANGELOG.md
10/10 points: Use an OSI-approved license
Detected license: MIT.
10/10 points: 20% or more of the public API has dartdoc comments
73 out of 98 API elements (74.5 %) have documentation comments.
Some symbols that are missing documentation: gpu_tensor.DefaultMinigpu.DefaultMinigpu.new, gpu_tensor.DefaultMinigpu.instance, gpu_tensor.GpuActivation, gpu_tensor.GpuFft, gpu_tensor.GpuFft.fft1d.
10/10 points: Package has an example
20/20 points: Supports 6 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)
-
✓ Android
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✓ iOS
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✓ Windows
-
✓ Linux
-
✓ macOS
-
✓ Web
0/0 points: WASM compatibility
This package is compatible with runtime wasm, and will be rewarded additional points in a future version of the scoring model.
See https://dart.dev/web/wasm for details.
40/50 points: code has no errors, warnings, lints, or formatting issues
Found 18 issues. Showing the first 2:
INFO: An uninitialized variable should have an explicit type annotation.
lib/src/gpu_data.dart:135:11
╷
135 │ final wgslValueString;
│ ^^^^^^^^^^^^^^^
╵
To reproduce make sure you are using the lints_core and run flutter analyze lib/src/gpu_data.dart
INFO: The variable name 'Cin' isn't a lowerCamelCase identifier.
lib/src/gpu_linear_ops.dart:207:11
╷
207 │ int Cin = shape[2];
│ ^^^
╵
To reproduce make sure you are using the lints_core and run flutter analyze lib/src/gpu_linear_ops.dart
10/10 points: All of the package dependencies are supported in the latest version
| Package | Constraint | Compatible | Latest | Notes |
|---|---|---|---|---|
minigpu |
1.2.1 |
1.2.1 | 1.2.1 |
Transitive dependencies
| Package | Constraint | Compatible | Latest | Notes |
|---|---|---|---|---|
async |
- | 2.13.0 | 2.13.0 | |
change_case |
- | 2.2.0 | 2.2.0 | |
characters |
- | 1.4.0 | 1.4.1 | |
code_assets |
- | 0.19.4 | 0.19.10 | |
collection |
- | 1.19.1 | 1.19.1 | |
crypto |
- | 3.0.6 | 3.0.6 | |
ffi |
- | 2.1.4 | 2.1.4 | |
file |
- | 7.0.1 | 7.0.1 | |
glob |
- | 2.1.3 | 2.1.3 | |
hooks |
- | 0.19.5 | 0.20.5 | |
js |
- | 0.6.7 | 0.7.2 | Discontinued |
js_interop_utils |
- | 1.0.9 | 1.0.9 | |
logging |
- | 1.3.0 | 1.3.0 | |
material_color_utilities |
- | 0.11.1 | 0.13.0 | |
meta |
- | 1.16.0 | 1.17.0 | |
minigpu_ffi |
- | 1.2.1 | 1.2.1 | |
minigpu_platform_interface |
- | 1.2.1 | 1.2.1 | |
minigpu_web |
- | 1.2.1 | 1.2.1 | |
native_toolchain_cmake |
- | 0.0.6-dev.1 | 0.1.0 | |
path |
- | 1.9.1 | 1.9.1 | |
plugin_platform_interface |
- | 2.1.8 | 2.1.8 | |
pub_semver |
- | 2.2.0 | 2.2.0 | |
source_span |
- | 1.10.1 | 1.10.1 | |
string_scanner |
- | 1.4.1 | 1.4.1 | |
term_glyph |
- | 1.2.2 | 1.2.2 | |
typed_data |
- | 1.4.0 | 1.4.0 | |
vector_math |
- | 2.2.0 | 2.2.0 | |
yaml |
- | 3.1.3 | 3.1.3 |
To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.
10/10 points: Package supports latest stable Dart and Flutter SDKs
20/20 points: Compatible with dependency constraint lower bounds
pub downgrade does not expose any static analysis error.
Analyzed with Pana 0.23.0, Flutter 3.35.7, Dart 3.9.2.
Check the analysis log for details.
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Metadata
Publisher
Weekly Downloads
Metadata
A comprehensive GPU tensor library for Dart and Flutter, designed to leverage the power of webgpu across platforms for efficient tensor operations.
Documentation
License
MIT (license)
