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Results 11 - 18 of 18 for relu_grad (0.26 sec)
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tensorflow/compiler/jit/tests/keras_imagenet_main.golden_summary
Conv2DBackpropFilter 53 Conv2DBackpropInput 52 Equal 1 FusedBatchNormGradV2 53 FusedBatchNormV2 53 MatMul 3 MaxPool 1 MaxPoolGrad 1 Mean 1 Mul 218 Pad 2 ReadVariableOp 538 Relu 49 ReluGrad 49 Reshape 2 ResourceApplyKerasMomentum 161 Slice 1 Softmax 1 SparseSoftmaxCrossEntropyWithLogits 1 Squeeze 1 Sum 1 Tile 1 Transpose 1 cluster 1 size 815 AddN 1 AssignAddVariableOp 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 874 bytes - Viewed (0) -
tensorflow/c/experimental/ops/nn_ops.h
AbstractTensorHandle** backprop, const char* name = nullptr, const char* raw_device_name = nullptr); // Computes rectified linear gradients for a Relu operation. Status ReluGrad(AbstractContext* ctx, AbstractTensorHandle* const gradients, AbstractTensorHandle* const features, AbstractTensorHandle** backprops, const char* name = nullptr,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
// Others "AddN", "Bitcast", "Cast", "ClipByValue", "Const", "Empty", "Identity", "IdentityN", "Relu", "Relu6", "ReluGrad", "Relu6Grad", "LeakyReluGrad", "Elu", "EluGrad", "Selu", "SeluGrad", "Select", "SelectV2", "Transpose", "ConjugateTranspose", "_UnaryOpsComposition", "CollectiveReduceV2", "CollectiveAssignGroupV2",
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/tf2xla/transforms/legalize_tf_patterns.td
(MHLO_ClampOp (MHLO_ConstantOp (GetScalarOfType<0> $input)), $input, (MHLO_ConstantOp (GetScalarOfType<6> $input))), [(TF_IntOrFpTensor $input)]>; // ReluGrad(gradients, features) = gradients * (features > 0) // The condition that $gradients and $features need to have the same shape is // implicitly enforced: $zero is created to have the same shape as $features,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 34.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
%0 = "tf.Selu"(%arg0) : (tensor<1x4x4x3xf32>) -> tensor<1x4x4x3xf32> func.return %0 : tensor<1x4x4x3xf32> } // CHECK-LABEL: func @selu_grad // CHECK-SAME: (%[[GRADIENTS:.*]]: tensor<4x8xf32>, %[[FEATURES:.*]]: tensor<4x8xf32>) -> tensor<4x8xf32> { func.func @selu_grad(%gradients: tensor<4x8xf32>, %features: tensor<4x8xf32>) -> tensor<4x8xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
%0 = "tf.Elu"(%arg0) : (tensor<1xf32>) -> tensor<1xf32> func.return %0: tensor<1xf32> } // ----- // CHECK-LABEL: func @elu_grad // CHECK-SAME: (%[[GRADIENTS:.*]]: tensor<4x8xf32>, %[[FEATURES:.*]]: tensor<?x?xf32>) func.func @elu_grad(%gradients: tensor<4x8xf32>, %features: tensor<?x?xf32>) -> tensor<4x8xf32> { // CHECK-DAG: %[[ZERO:.*]] = mhlo.constant dense<0.000000e+00> : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
func.func @testSameOperandsAndResultTypeResolveRefBinary(%lhs: tensor<2x3x?x?xf32>, %rhs: tensor<2x?x5x?xf32>) -> (tensor<?x?x?x?xf32>) { // CHECK: (tensor<2x3x?x?xf32>, tensor<2x?x5x?xf32>) -> tensor<2x3x5x?xf32> %0 = "tf.ReluGrad"(%lhs, %rhs) : (tensor<2x3x?x?xf32>, tensor<2x?x5x?xf32>) -> tensor<?x?x?x?xf32> func.return %0 : tensor<?x?x?x?xf32> } // CHECK-LABEL: func @test_xla_sharding
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
static bool isCompatibleReturnTypes(TypeRange inferred, TypeRange actual) { return ArraysAreCastCompatible(inferred, actual); } }]; } def TF_Relu6GradOp : TF_Op<"Relu6Grad", [Pure, TF_SameOperandsAndResultTypeResolveRef]> { let summary = "Computes rectified linear 6 gradients for a Relu6 operation."; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)