100%;\n  margin-bottom: 1rem;\n  vertical-align: top;\n  border-color: var(--bs-table-border-color);\n}\n.table > :not(caption) > * > * {\n  padding: 0.5rem 0.5rem;\n  color: var(--bs-table-color-state, var(--bs-table-color-type, var(--bs-table-color)));\n  background-color: var(--bs-table-bg);\n  border-bottom-width: var(--bs-border-width);\n  box-shadow: inset 0 0 0 9999px var(--bs-table-bg-state, var(--bs-table-bg-type, var(--bs-table-accent-bg)));\n}\n.table > tbody {\n  vertical-align: inherit;\n}\n.table...

* 👷 Update GitHub actions to download and upload artifacts to v4, for docs and coverage. PR [#11550](https://github.com/tiangolo/fastapi/pull/11550) by [@tamird](https://github.com/tamird).
* 👷 Tweak CI for test-redistribute, add needed env vars for slim. PR [#11549](https://github.com/tiangolo/fastapi/pull/11549) by [@tiangolo](https://github.com/tiangolo).

        mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],