Skip to main content
Back to top
Ctrl
+
K
Install
Build and Install
Usage
Quick Start Guide
Lazy Evaluation
Unified Memory
Indexing Arrays
Saving and Loading Arrays
Function Transforms
Compilation
Conversion to Other Array Frameworks
Distributed Communication
Using Streams
Exporting Functions
Examples
Linear Regression
Multi-Layer Perceptron
LLM inference
Data Parallelism
Tensor Parallelism
Ruby API Reference
Ruby API Reference
Ruby DSL
Ruby DSL
Model Declaration DSL
Builder and Graphs
Train Step DSL
Trainer Core
Trainer Data Ergonomics
Trainer Presets and Tasks
Checkpoints and Resume
Artifact Policy
Data Pipeline
Experiment DSL
Split Plan DSL
Ruby DSL Examples
C++ API Reference
Operations
Further Reading
Custom Extensions in MLX
Metal Debugger
Metal Logging
Custom Metal Kernels
Using MLX in C++
.rst
.pdf
mlx.nn.losses.l1_loss
Contents
l1_loss
mlx.nn.losses.l1_loss
#
class
l1_loss
(
*
args
:
Any
,
**
kwargs
:
Any
)
#
Contents
l1_loss
