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Results 11 - 16 of 16 for FakeQuantWithMinMaxVarsPerChannel (0.44 sec)
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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) -
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) -
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) -
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) -
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) -
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)