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Results 1 - 2 of 2 for conv2d_backprop_input (0.41 sec)
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RELEASE.md
* Fixes a `CHECK` fail in `AvgPoolGrad` ([CVE-2022-35968](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35968)) * Fixes a `CHECK` fail in `Conv2DBackpropInput` ([CVE-2022-35969](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35969)) * Fixes a segfault in `QuantizedInstanceNorm` ([CVE-2022-35970](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35970))
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
the `filter` input of the convolution.}]>:$output ); TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>; } def TF_Conv2DBackpropInputOp : TF_Op<"Conv2DBackpropInput", [Pure, TF_LayoutSensitiveInterface]> { let summary = [{ Computes the gradients of convolution with respect to the input. }]; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)