description: Computes the Poisson loss between y_true and y_pred.

tf.keras.losses.poisson

Computes the Poisson loss between y_true and y_pred.

tf.keras.losses.poisson(
    y_true, y_pred
)

The Poisson loss is the mean of the elements of the Tensor y_pred - y_true * log(y_pred).

Standalone usage:

>>> y_true = np.random.randint(0, 2, size=(2, 3))
>>> y_pred = np.random.random(size=(2, 3))
>>> loss = tf.keras.losses.poisson(y_true, y_pred)
>>> assert loss.shape == (2,)
>>> y_pred = y_pred + 1e-7
>>> assert np.allclose(
...     loss.numpy(), np.mean(y_pred - y_true * np.log(y_pred), axis=-1),
...     atol=1e-5)

Args

y_true Ground truth values. shape = [batch_size, d0, .. dN].
y_pred The predicted values. shape = [batch_size, d0, .. dN].

Returns

Poisson loss value. shape = [batch_size, d0, .. dN-1].

Raises

InvalidArgumentError If y_true and y_pred have incompatible shapes.