Mul

Performs element-wise binary multiplication (with Numpy-style broadcasting support). This operator supports multidirectional (i.e., Numpy-style) broadcasting; for more details please check [the doc](Broadcasting.md). (Opset 14 change): Extend supported types to include uint8, int8, uint16, and i…

Abstract Signature:

Mul(A: Tensor, B: Tensor)

PyTorch

API: torch.mul
Strategy: Direct Mapping
Official Docs ↗

JAX (Core)

API: jnp.multiply
Strategy: Direct Mapping
Official Docs ↗

NumPy

API: np.multiply
Strategy: Infix (*)
Official Docs ↗

Keras

API: keras.ops.multiply
Strategy: Direct Mapping
Official Docs ↗

TensorFlow

API: tf.math.multiply
Strategy: Direct Mapping
Official Docs ↗

Apple MLX

API: mx.multiply
Strategy: Direct Mapping
Official Docs ↗

NVIDIA SASS

API: FMUL
Strategy: Direct Mapping

AMD RDNA

API: v_mul_f32
Strategy: Direct Mapping
Official Docs ↗

Flax NNX

API: optax.tree.mul
Strategy: Direct Mapping
Official Docs ↗