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Results 1 - 6 of 6 for truncated_normal (0.21 sec)
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tensorflow/compiler/mlir/tfr/examples/mnist/mnist_train.py
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 20 03:05:18 UTC 2021 - 6.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
// return %[[RESULT]] func.return %0 : tensor<*xf32> } func.func @truncated_normal() -> tensor<2x2xf32> { // CHECK-NOT: tf.TruncatedNormal %0 = mhlo.constant dense<[2, 2]> : tensor<2xi32> %1 = "tf.TruncatedNormal"(%0) {T = i32, device = "", dtype = f32, seed = 0 : i64, seed2 = 1950157571 : i64} : (tensor<2xi32>) -> tensor<2x2xf32> func.return %1 : tensor<2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/jit/compilability_check_util.h
return op_name == "RandomUniform" || op_name == "RandomShuffle" || op_name == "RandomUniformInt" || op_name == "RandomStandardNormal" || op_name == "TruncatedNormal" || op_name == "Multinomial"; } bool OpProducesOrConsumesVariant(const Node& node) const { auto is_variant = [](DataType dtype) { return dtype == DT_VARIANT; };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 14.9K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"TensorScatterMax", "TensorScatterMin", "TensorScatterSub", "TensorScatterUpdate", "ToBool", "TridiagonalSolve", "TridiagonalMatMul", "TruncatedNormal", "UniformDequantize", "UniformQuantize", "UniformQuantizedAdd", "UniformQuantizedClipByValue", "UniformQuantizedConvolution", "UniformQuantizedDot",
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/ir/tf_generated_ops.td
); let results = (outs TF_FpOrI32OrI64Tensor:$z ); TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>; } def TF_TruncatedNormalOp : TF_Op<"TruncatedNormal", [TF_CannotDuplicate]> { let summary = "Outputs random values from a truncated normal distribution."; let description = [{ The generated values follow a normal distribution with mean 0 and standard
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
* Add C, C++, and Python functions for querying kernels. ## Breaking Changes * Keras: * The default values for tf.keras `RandomUniform`, `RandomNormal`, and `TruncatedNormal` initializers have been changed to match those in external Keras. * Breaking change: `model.get_config()` on a Sequential model now returns
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)