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Results 1 - 3 of 3 for EncodePng (0.41 sec)

  1. tensorflow/compiler/mlir/tf2xla/api/v2/testdata/outside_compilation.mlir

          %outputs_83, %control_84 = tf_executor.island wraps "tf.EncodePng"(%outputs_81) {compression = -1 : i64, device = "/device:CPU:0"} : (tensor<*xui8>) -> tensor<*x!tf_type.string>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Oct 19 20:19:45 UTC 2023
    - 21.9K bytes
    - Viewed (0)
  2. RELEASE.md

    *   Fixes a heap buffer overflow caused by rounding
        ([CVE-2021-29529](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29529))
    *   Fixes a `CHECK`-fail in `tf.raw_ops.EncodePng`
        ([CVE-2021-29531](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29531))
    *   Fixes a heap out of bounds read in `RaggedCross`
        ([CVE-2021-29532](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29532))
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 730.3K bytes
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  3. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

        Res<TF_Tensor, [{A `Tensor` of type `T`.}]>:$output
      );
    
      TF_DerivedResultTypeAttr dtype = TF_DerivedResultTypeAttr<0>;
    
      let hasFolder = 1;
    }
    
    def TF_EncodePngOp : TF_Op<"EncodePng", [Pure]> {
      let summary = "PNG-encode an image.";
    
      let description = [{
    `image` is a 3-D uint8 or uint16 Tensor of shape `[height, width, channels]`
    where `channels` is:
    
    *   1: for grayscale.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
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