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Results 1 - 7 of 7 for QuantizeAndDequantizeV2 (0.42 sec)
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tensorflow/cc/framework/fuzzing/cc_op_fuzz_gen.cc
"DiagPart", "GatherNd", "GatherV2", "QuantizeAndDequantizeV2", "QuantizeAndDequantizeV3", "QuantizeAndDequantizeV4", "QuantizeAndDequantizeV4Grad",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jan 27 16:26:51 UTC 2024 - 13K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/canonicalize.td
(TF_ConstOp (GetScalarOfType<0> $diag)), (GetStrAttr<"RIGHT_LEFT">)), [], [(CopyAttrs $src, $dest)]>; //===----------------------------------------------------------------------===// // QuantizeAndDequantizeV2 op patterns. //===----------------------------------------------------------------------===// def QuantizeAndDequantizeV2ToQuantizeAndDequantizeV4 : Pat<
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:42:28 UTC 2023 - 17K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalization_op_config.cc
TypeID::get<TF::PopulationCountOp>(), TypeID::get<TF::PowOp>(), TypeID::get<TF::QrOp>(), // TODO(hinsu): Canonicalize QuantizeAndDequantize and // QuantizeAndDequantizeV2 to QuantizeAndDequantizeV3 by converting // attributes to operands. TypeID::get<TF::QuantizeAndDequantizeOp>(), TypeID::get<TF::QuantizeAndDequantizeV2Op>(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 04:08:35 UTC 2024 - 21.7K bytes - Viewed (0) -
RELEASE.md
* Fixes a invalid char to bool conversion in printing a tensor ([CVE-2022-41911](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41911)) * Fixes a heap overflow in `QuantizeAndDequantizeV2` ([CVE-2022-41910](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41910))
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/jit/mark_for_compilation_pass.cc
"NonMaxSuppressionV4", "ParallelDynamicStitch", "ParameterizedTruncatedNormal", "PartitionedCall", "Polygamma", "PopulationCount", "Qr", "QuantizeAndDequantizeV2", "QuantizeAndDequantizeV3", "QuantizeAndDequantizeV4", "RFFT", "RFFT2D", "RFFT3D", "RGBToHSV", "RandomShuffle", "RandomStandardNormal",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
func.func @testConvertQuantizeAndDequantizeV2ToQuantizeAndDequantizeV4(%arg0 : tensor<?x?xf32>, %arg1 : tensor<f32>, %arg2 : tensor<f32>) -> tensor<?x?xf32> { %0 = "tf.QuantizeAndDequantizeV2"(%arg0, %arg1, %arg2) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<?x?xf32>, tensor<f32>, tensor<f32>) -> tensor<?x?xf32> func.return %0 : tensor<?x?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let hasVerifier = 1; } def TF_QuantizeAndDequantizeOp : TF_Op<"QuantizeAndDequantize", [Pure, TF_SameOperandsAndResultTypeResolveRef]> { let summary = "Use QuantizeAndDequantizeV2 instead."; let arguments = (ins TF_FloatTensor:$input, DefaultValuedOptionalAttr<BoolAttr, "true">:$signed_input, DefaultValuedOptionalAttr<I64Attr, "8">:$num_bits,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)