Searched refs:leaky_relu (Results 1 – 23 of 23) sorted by relevance
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | relu_op_test.py | 287 tf_leaky_relu = nn_ops.leaky_relu(np_features, alpha)
322 *gradient_checker_v2.compute_gradient(nn_ops.leaky_relu, [x]))
332 *gradient_checker_v2.compute_gradient(nn_ops.leaky_relu, [x]))
342 y = nn_ops.leaky_relu(x)
360 y = nn_ops.leaky_relu(x)
375 return nn_ops.leaky_relu(x, 0.05)**2
385 nn_ops.leaky_relu(
391 nn_ops.leaky_relu(
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| /external/XNNPACK/src/subgraph/ |
| D | leaky-relu.c | 57 node->params.leaky_relu.negative_slope = negative_slope; in xnn_define_leaky_relu()
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| /external/tensorflow/tensorflow/lite/testing/op_tests/ |
| D | leaky_relu.py | 44 out = tf.nn.leaky_relu(input_tensor, alpha=parameters["alpha"])
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| /external/XNNPACK/src/xnnpack/ |
| D | subgraph.h | 189 } leaky_relu; member
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| /external/llvm-project/mlir/docs/Tutorials/ |
| D | QuickstartRewrites.md | 47 def TFL_LeakyReluOp: TFL_Op<TFL_Dialect, "leaky_relu",
232 // CHECK: %0 = "tfl.leaky_relu"(%arg0) {alpha: 1.000000e-01} : (tensor<1xf32>) -> tensor<1xf32>
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| /external/tensorflow/tensorflow/lite/testing/ |
| D | generate_examples_lib.py | 92 from tensorflow.lite.testing.op_tests.leaky_relu import make_leaky_relu_tests
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| D | BUILD | 490 "reference/leaky_relu.h",
598 "reference/leaky_relu.h",
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| /external/tensorflow/tensorflow/python/ops/ |
| D | nn_test.py | 1034 outputs = nn_ops.leaky_relu(inputs)
1047 outputs = nn_ops.leaky_relu(constant_op.constant(np_values))
1058 outputs_with_name_set = nn_ops.leaky_relu(
1062 outputs_without_name_set = nn_ops.leaky_relu(
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| D | nn_ops.py | 3473 def leaky_relu(features, alpha=0.2, name=None): function
3501 return gen_nn_ops.leaky_relu(features, alpha=alpha, name=name)
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.nn.pbtxt | 192 name: "leaky_relu"
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| D | math_test.py | 137 lambda t: nn.leaky_relu(t, alpha=0.1),
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| D | pfor.py | 2908 return wrap(gen_nn_ops.leaky_relu(t, alpha=alpha), True)
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| /external/tensorflow/tensorflow/compiler/mlir/tosa/tests/ |
| D | tfl-to-tosa-pipeline.mlir | 153 …%0 = "tfl.leaky_relu"(%arg0) {alpha = 0.707330704 : f32} : (tensor<13x21x3xf32>) -> tensor<13x21…
912 …%0 = "tfl.leaky_relu"(%arg0) {alpha = 0.368738383 : f32} : (tensor<13x21x3x!quant.uniform<i8:f32…
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.nn.pbtxt | 228 name: "leaky_relu"
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| /external/tensorflow/tensorflow/lite/ |
| D | build_def.bzl | 338 "leaky_relu",
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | unary_ops_test.py | 409 nn_ops.leaky_relu,
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| /external/XNNPACK/src/ |
| D | runtime.c | 542 node->params.leaky_relu.negative_slope, in xnn_create_runtime_v2()
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| /external/tensorflow/tensorflow/python/grappler/ |
| D | layout_optimizer_test.py | 1189 y = nn.leaky_relu(y, alpha=0.2)
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| /external/tensorflow/tensorflow/python/keras/ |
| D | backend.py | 4803 return nn.leaky_relu(x, alpha=alpha)
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| /external/tensorflow/tensorflow/compiler/mlir/lite/tests/ |
| D | optimize.mlir | 1110 // CHECK: %[[RESULT:[0-9].*]] = "tfl.leaky_relu"
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| D | legalize-tf.mlir | 33 // CHECK: "tfl.leaky_relu"(%arg0) {alpha = 1.000000e-01 : f32} : (tensor<1xf32>) -> tensor<1xf32>
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| /external/tensorflow/tensorflow/compiler/mlir/tosa/g3doc/ |
| D | legalization.md | 3837 ### tfl.leaky_relu
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| /external/tensorflow/tensorflow/compiler/mlir/lite/ir/ |
| D | tfl_ops.td | 1762 def TFL_LeakyReluOp: TFL_Op<"leaky_relu", [
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