| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_LeakyReluGrad.pbtxt | 7 The backpropagated gradients to the corresponding LeakyRelu operation.
13 The features passed as input to the corresponding LeakyRelu operation,
23 summary: "Computes rectified linear gradients for a LeakyRelu operation."
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| D | api_def_LeakyRelu.pbtxt | 2 graph_op_name: "LeakyRelu"
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| /external/tensorflow/tensorflow/core/api_def/java_api/ |
| D | api_def_LeakyRelu.pbtxt | 2 graph_op_name: "LeakyRelu"
4 name: "nn.LeakyRelu"
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | LeakyRelu.pbtxt | 2 name: "LeakyRelu"
34 name: "LeakyRelu"
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| /external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/ |
| D | constant-fold.mlir | 38 %no = "tf.LeakyRelu"(%arg0) {alpha = 0.2 : f32} : (tensor<16xf32>) -> tensor<16xf32>
39 %0 = "tf.LeakyRelu"(%pos) {alpha = 0.3 : f32} : (tensor<f32>) -> tensor<f32>
40 %1 = "tf.LeakyRelu"(%neg) {alpha = 0.2 : f32} : (tensor<f32>) -> tensor<f32>
41 %2 = "tf.LeakyRelu"(%arg0) {alpha = 3.0 : f32} : (tensor<16xf32>) -> tensor<16xf32>
44 …// CHECK: [[NC1:%.*]] = "tf.LeakyRelu"(%arg0) {alpha = 2.000000e-01 : f32} : (tensor<16xf32>) -> t…
45 …// CHECK: [[NC2:%.*]] = "tf.LeakyRelu"(%arg0) {alpha = 3.000000e+00 : f32} : (tensor<16xf32>) -> t…
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| D | canonicalize.mlir | 39 %2 = "tf.LeakyRelu"(%arg0) {alpha = 1.0 : f32} : (tensor<16xf32>) -> tensor<16xf32>
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| D | tf-ops.mlir | 194 // Test valid tf.LeakyRelu
198 %0 = "tf.LeakyRelu"(%arg0) {alpha = 0.2 : f32} : (tensor<16xf32>) -> tensor<16xf32>
206 %0 = "tf.LeakyRelu"(%arg0) {alpha = 1: i32}: (tensor<16xf32>) -> tensor<16xf32>
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | relu_op.cc | 108 void LeakyRelu<GPUDevice, T>::operator()( \
111 extern template struct LeakyRelu<GPUDevice, T>; \
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| D | relu_op_gpu.cu.cc | 173 template struct functor::LeakyRelu<GPUDevice, T>; \
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| D | relu_op_functor.h | 96 struct LeakyRelu { struct
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| D | relu_op.h | 145 functor::LeakyRelu<Device, T> functor; in Operate()
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| /external/tensorflow/tensorflow/cc/gradients/ |
| D | nn_grad_test.cc | 167 auto y = ops::internal::LeakyRelu(scope_, x); in TEST_F()
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| /external/tensorflow/tensorflow/lite/kernels/ |
| D | activations_test.cc | 1569 TEST(FloatActivationsOpTest, LeakyRelu) { in TEST() argument
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| D | activations.cc | 1120 optimized_ops::LeakyRelu( in LeakyReluEval()
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| /external/tensorflow/tensorflow/lite/toco/tflite/ |
| D | operator.cc | 1381 class LeakyRelu class
1884 ops.push_back(MakeUnique<LeakyRelu>(::tflite::BuiltinOperator_LEAKY_RELU, in BuildOperatorList()
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| /external/tensorflow/tensorflow/compiler/mlir/lite/tests/ |
| D | legalize-tf.mlir | 23 func @LeakyRelu(%arg0: tensor<1xf32>) -> tensor<1xf32> {
24 %2 = "tf.LeakyRelu"(%arg0) {alpha = 0.1 : f32} : (tensor<1xf32>) -> tensor<1xf32>
27 // CHECK-LABEL: LeakyRelu
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| D | optimize.mlir | 751 // Should not fuse to LeakyRelu, since alpha > 1.
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| /external/tensorflow/tensorflow/lite/toco/ |
| D | tooling_util.cc | 440 HANDLE_OPERATORTYPENAME_CASE(LeakyRelu) in OperatorTypeName()
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| /external/tensorflow/tensorflow/compiler/tf2tensorrt/convert/ |
| D | convert_nodes_test.cc | 2637 auto act = ops::internal::LeakyRelu( in TEST_F()
2639 ops::internal::LeakyRelu::Alpha(kLeakyReluAlpha)); in TEST_F()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | reference_ops.h | 254 inline void LeakyRelu(const tflite::LeakyReluParams& params, in LeakyRelu() function
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | optimized_ops.h | 86 using reference_ops::LeakyRelu;
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.raw_ops.pbtxt | 1952 name: "LeakyRelu"
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.raw_ops.pbtxt | 1952 name: "LeakyRelu"
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| /external/tensorflow/tensorflow/compiler/mlir/tensorflow/ir/ |
| D | tf_generated_ops.td | 2646 def TF_LeakyReluOp : TF_Op<"LeakyRelu", [NoSideEffect, SameOperandsAndResultType]> {
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| /external/tensorflow/tensorflow/go/op/ |
| D | wrappers.go | 41853 func LeakyRelu(scope *Scope, features tf.Output, optional ...LeakyReluAttr) (activations tf.Output)… func
|