/external/tensorflow/tensorflow/core/graph/ |
D | quantize_training_test.cc | 144 Node* relu6 = test::graph::Relu6(g, b); in TEST_F() local 145 Node* m1 = test::graph::Matmul(g, relu, relu6, false, false); in TEST_F() 165 FindNode(g, strings::StrCat(relu6->name(), "/QuantizeAndDequantizeV2"), in TEST_F() 374 Node* relu6 = test::graph::Relu6(g, c); in TEST_F() local 375 Node* m1 = test::graph::Matmul(g, relu, relu6, false, false); in TEST_F() 403 string min_const_name = strings::StrCat(relu6->name(), "/InputMin"); in TEST_F() 404 string max_const_name = strings::StrCat(relu6->name(), "/InputMax"); in TEST_F() 468 Node* relu6 = test::graph::Relu6(g, c); in TEST_F() local 469 Node* m1 = test::graph::Matmul(g, relu, relu6, false, false); in TEST_F() 497 string min_const_name = strings::StrCat(relu6->name(), "/InputMin"); in TEST_F() [all …]
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D | mkl_layout_pass.cc | 317 csinfo_.relu6 = "Relu6"; in MklLayoutRewritePass() 499 rinfo_.push_back({csinfo_.relu6, in MklLayoutRewritePass() 500 mkl_op_registry::GetMklOpName(csinfo_.relu6), in MklLayoutRewritePass() 741 string relu6; member
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/external/tensorflow/tensorflow/contrib/quantize/python/ |
D | quantize_test.py | 58 relu = nn_ops.relu6(inputs) 81 node = nn_ops.relu6(node, name='test/relu6') 121 node = nn_ops.relu6(node, name='test/relu6') 163 node = nn_ops.relu6(node, name='test/relu6') 213 activation_fn=nn_ops.relu6, 263 activation_fn=nn_ops.relu6, 273 activation_fn=nn_ops.relu6, 301 activation_fn=nn_ops.relu6, 316 _ = nn_ops.relu6(bypass_tensor, name='test/output') 438 node = nn_ops.relu6(node, name='test/relu6') [all …]
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D | quantize_parameterized_test.py | 46 (nn_ops.relu6, 'Relu6', False, None), 49 (nn_ops.relu6, 'Relu6', False, 5000), 52 (nn_ops.relu6, 'Relu6', True, None), 55 (nn_ops.relu6, 'Relu6', True, 5000), 366 (nn_ops.relu6, 'Relu6', False, None, False), 369 (nn_ops.relu6, 'Relu6', False, 5000, False), 372 (nn_ops.relu6, 'Relu6', True, None, False), 375 (nn_ops.relu6, 'Relu6', True, 5000, False), 378 (nn_ops.relu6, 'Relu6', False, None, True), 381 (nn_ops.relu6, 'Relu6', False, 5000, True), [all …]
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D | input_to_ops_test.py | 45 output_tensor = nn_ops.relu6(input_tensor) 56 output_tensor_1 = nn_ops.relu6(input_tensor)
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D | fold_batch_norms_test.py | 52 (nn_ops.relu6, 'Relu6', False, False, False, 100, False), 54 (nn_ops.relu6, 'Relu6', True, False, False, 100, False), 56 (nn_ops.relu6, 'Relu6', False, True, False, 100, False), 58 (nn_ops.relu6, 'Relu6', True, True, False, 100, False), 61 (nn_ops.relu6, 'Relu6', False, True, True, None, False), 63 (nn_ops.relu6, 'Relu6', True, True, True, None, False), 65 (nn_ops.relu6, 'Relu6', False, True, True, None, True), 67 (nn_ops.relu6, 'Relu6', True, True, True, None, True),
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D | quantize_graph_test.py | 370 output = nn_ops.relu6(output) 454 output = nn_ops.relu6(output) 509 output = nn_ops.relu6(output)
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/external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/ |
D | nn.py | 26 relu6 = core.define_unary_op('relu6', nn.relu6) variable
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D | nn_test.py | 38 ('relu6', nn_ops.relu6, nn.relu6),
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/external/tensorflow/tensorflow/python/compiler/tensorrt/test/ |
D | quantization_mnist_test.py | 98 x = nn.relu6(x) 101 x = nn.relu6(x) 107 x = nn.relu6(x)
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | saved_model_test.py | 422 def relu6(x): function 425 outputs = keras.layers.Activation(relu6)(inputs) 428 model, saved_model_dir, custom_objects={'relu6': relu6})
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/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | summaries_test.py | 69 op = nn_ops.relu6(var, name='SummaryTest')
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D | layers.py | 3324 relu6 = functools.partial(fully_connected, activation_fn=nn.relu6) variable
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | relu_op_test.py | 237 tf_relu6 = nn_ops.relu6(np_features) 265 *gradient_checker_v2.compute_gradient(nn_ops.relu6, [x])) 276 *gradient_checker_v2.compute_gradient(nn_ops.relu6, [x]))
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/external/tensorflow/tensorflow/python/ops/ |
D | nn_grad_test.py | 42 r = nn_ops.relu6(inputs)
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D | nn_ops.py | 2719 def relu6(features, name=None): function 2735 return gen_nn_ops.relu6(features, name=name)
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/external/tensorflow/tensorflow/core/kernels/ |
D | unary_ops_composition.cc | 185 auto relu6 = functor::Relu6<Eigen::DefaultDevice, T>(); \ 186 relu6(Eigen::DefaultDevice(), in, *out); \
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/external/tensorflow/tensorflow/python/tools/ |
D | freeze_graph_test.py | 293 node = nn.relu6(node, name="test/relu6")
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | math_test.py | 86 nn.relu6,
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/external/tensorflow/tensorflow/python/data/experimental/kernel_tests/optimization/ |
D | map_vectorization_test.py | 87 ("Relu6", nn.relu6),
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/external/tensorflow/tensorflow/lite/g3doc/guide/ |
D | ops_compatibility.md | 125 * [tf.nn.relu6](https://www.tensorflow.org/api_docs/python/tf/nn/relu6)
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.nn.pbtxt | 248 name: "relu6"
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/external/tensorflow/tensorflow/lite/ |
D | build_def.bzl | 300 "relu6",
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.nn.pbtxt | 320 name: "relu6"
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/external/tensorflow/tensorflow/compiler/tests/ |
D | unary_ops_test.py | 359 nn_ops.relu6,
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