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Results 11 - 14 of 14 for FakeQuantWithMinMaxVarsPerChannel (0.32 sec)

  1. tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir

      %2 = "tf.Neg"(%1) {device = ""} : (tensor<4xf32>) -> tensor<4xf32>
      %3 = "tfl.custom_tf"(%cst, %2, %1) ({
      ^bb0(%arg1: tensor<*xf32>, %arg2: tensor<*xf32>, %arg3: tensor<*xf32>):
        %7 = "tf.FakeQuantWithMinMaxVarsPerChannel"(%arg1, %arg2, %arg3) {device = "", narrow_range = false, num_bits = 8 : i64} : (tensor<*xf32>, tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
        "tfl.yield"(%7) : (tensor<*xf32>) -> ()
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 59.8K bytes
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  2. tensorflow/compiler/jit/mark_for_compilation_pass.cc

    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 12:19:41 UTC 2024
    - 85.3K bytes
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  3. RELEASE.md

    *   Fixes a segfault in `QuantizedBiasAdd` ([CVE-2022-35972](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35972))
    *   Fixes a `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` ([CVE-2022-36019](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-36019))
    *   Fixes a segfault in `QuantizedMatMul` ([CVE-2022-35973](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35973))
    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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  4. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

        Res<TF_Float32Tensor, [{Backpropagated gradients w.r.t. max parameter:
    `sum(gradients * (inputs > max))`.}]>:$backprop_wrt_max
      );
    }
    
    def TF_FakeQuantWithMinMaxVarsPerChannelOp : TF_Op<"FakeQuantWithMinMaxVarsPerChannel", [Pure]> {
      let summary = [{
    Fake-quantize the 'inputs' tensor of type float via per-channel floats
      }];
    
      let description = [{
    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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