Search Options

Display Count
Sort
Preferred Language
Advanced Search

Results 1 - 3 of 3 for 0123 (0.03 seconds)

The search processing time has exceeded the limit. The displayed results may be partial.

  1. docs/en/docs/release-notes.md

    * ⬆ Bump typer from 0.12.5 to 0.15.3. PR [#13666](https://github.com/fastapi/fastapi/pull/13666) by [@dependabot[bot]](https://github.com/apps/dependabot).
    * ⬆ Bump sqlmodel from 0.0.23 to 0.0.24. PR [#13665](https://github.com/fastapi/fastapi/pull/13665) by [@dependabot[bot]](https://github.com/apps/dependabot).
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri Apr 03 12:07:04 GMT 2026
    - 631K bytes
    - Click Count (0)
  2. src/cmd/asm/internal/asm/testdata/amd64enc.s

    	ADDL $7, (R11)                          // 41830307
    	ADDL $7, DX                             // 83c207
    	ADDL $7, R11                            // 4183c307
    	ADDL DX, (BX)                           // 0113
    	ADDL R11, (BX)                          // 44011b
    	ADDL DX, (R11)                          // 410113
    	ADDL R11, (R11)                         // 45011b
    	ADDL DX, DX                             // 01d2 or 03d2
    Created: Tue Apr 07 11:13:11 GMT 2026
    - Last Modified: Fri Oct 08 21:38:44 GMT 2021
    - 581.9K bytes
    - Click Count (1)
  3. RELEASE.md

            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],
            keepdims=True) # Author code uses std + 1e-5 return
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Mon Mar 30 18:31:38 GMT 2026
    - 746.5K bytes
    - Click Count (3)
Back to Top