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Results 1 - 3 of 3 for depthwise_ (0.21 sec)

  1. RELEASE.md

    *   Fixes a missing validation which causes denial of service via `Conv3DBackpropFilterV2` ([CVE-2022-29196](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29196))
    *   Fixes a `CHECK` failure in depthwise ops via overflows ([CVE-2021-41197](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-41197))
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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  2. tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc

        const int64_t filter_channels = GetDimSize(filter_ty, num_spatial_dims);
        // TensorFlow convolution op verifies that the number of input channels is
        // divisible by the number of filter channels.
        // For depthwise convolution the feature_group_count argument would be set
        // to the input feature dimension.
        const int64_t feature_group_count =
            depthwise_conv ? input_channels : input_channels / filter_channels;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 20:00:43 UTC 2024
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  3. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

      );
    
      TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
    }
    
    def TF_DepthwiseConv2dNativeOp : TF_Op<"DepthwiseConv2dNative", [Pure]> {
      let summary = [{
    Computes a 2-D depthwise convolution given 4-D `input` and `filter` tensors.
      }];
    
      let description = [{
    Given an input tensor of shape `[batch, in_height, in_width, in_channels]`
    and a filter / kernel tensor of shape
    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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