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Results 11 - 16 of 16 for FakeQuantWithMinMaxVarsPerChannel (0.31 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/cc/framework/fuzzing/op_fuzzing.bzl 

        "ExtractImagePatches",
    "ExtractVolumePatches",
    "FakeQuantWithMinMaxArgs",
    "FakeQuantWithMinMaxArgsGradient",
    "FakeQuantWithMinMaxVars",
    "FakeQuantWithMinMaxVarsGradient",
    "FakeQuantWithMinMaxVarsPerChannel",
    "FakeQuantWithMinMaxVarsPerChannelGradient",
    "Fill",
    "Fingerprint",
    "Gather",
    "GuaranteeConst",
    "Identity",
    "IdentityN",
    "InplaceAdd",
    "InplaceSub",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Nov 07 19:14:57 UTC 2022
    - 4.3K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir 

    }

// -----

// Test valid tf.FakeQuantWithMinMaxVarsPerChannel
// CHECK-LABEL: func @FakeQuantWithMinMaxVarsPerChannel
func.func @FakeQuantWithMinMaxVarsPerChannel(tensor<1x2x3x8xf32>, tensor<8xf32>, tensor<8xf32>) -> tensor<1x2x3x8xf32> {
^bb0(%arg0: tensor<1x2x3x8xf32>, %arg1: tensor<8xf32>, %arg2: tensor<8xf32>):
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 23 14:40:35 UTC 2023
    - 236.4K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    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
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/jit/mark_for_compilation_pass.cc 

          "FFT3D",
      "FakeParam",
      "FakeQuantWithMinMaxArgs",
      "FakeQuantWithMinMaxArgsGradient",
      "FakeQuantWithMinMaxVars",
      "FakeQuantWithMinMaxVarsGradient",
      "FakeQuantWithMinMaxVarsPerChannel",
      "FakeQuantWithMinMaxVarsPerChannelGradient",
      "Gather",
      "GatherNd",
      "GatherV2",
      "HSVToRGB",
      "IFFT",
      "IFFT2D",
      "IFFT3D",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 12:19:41 UTC 2024
    - 85.3K bytes
    - Viewed (0)
  6. github.com/tensorflow/tensorflow

    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
    - Viewed (0)
  7. github.com/tensorflow/tensorflow

    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
    - Viewed (0)
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