| /external/tensorflow/tensorflow/core/api_def/python_api/ |
| api_def_BiasAdd.pbtxt | 2 graph_op_name: "BiasAdd"
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| api_def_BiasAddV1.pbtxt | 24 This is a deprecated version of BiasAdd and will be soon removed.
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| api_def_BiasAddGrad.pbtxt | 27 summary: "The backward operation for \"BiasAdd\" on the \"bias\" tensor."
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| api_def_BiasAdd.pbtxt | 2 graph_op_name: "BiasAdd"
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| /external/tensorflow/tensorflow/contrib/specs/python/ |
| specs_test.py | 51 "_ variablev2 conv variablev2 biasadd relu")
76 "_ variablev2 dot variablev2 biasadd sig "
77 "<> variablev2 dot variablev2 biasadd relu add")
103 "_ variablev2 conv variablev2 biasadd relu maxpool"
105 " biasadd relu maxpool variablev2 conv variablev2"
106 " biasadd relu maxpool")
120 "_ variablev2 conv variablev2 biasadd relu maxpool"
121 " variablev2 conv variablev2 biasadd relu"
122 " maxpool variablev2 conv variablev2 biasadd relu"
136 "_ variablev2 dot variablev2 biasadd sig
[all...] |
| summaries_test.py | 48 "_ variablev2 conv variablev2 biasadd relu")
60 "_ variablev2 conv variablev2 biasadd relu")
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| summaries.py | 38 BiasAdd biasadd
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| /external/gemmlowp/meta/ |
| transform_kernels.h | 55 struct BiasAdd {
145 class Transform1DKernel<InType, OutType, BiasAdd<Type>, kernel_size,
148 static void Transform(const InType* in, const BiasAdd<Type>& params,
152 std::cout << "BiasAdd::Transform(" << std::string(typeid(InType).name())
157 std::cerr << "FATAL: BiasAdd::Transform not implemented." << std::endl;
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| transform_kernels_arm_32.h | [all...] |
| transform_kernels_arm_64.h | [all...] |
| test_transform_correctness.cc | 40 typedef Transform1DParams<std::uint8_t, std::int32_t, BiasAdd<std::uint8_t>> BiasAddParams;
170 std::cout << "BiasAdd: OK" << std::endl;
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| /external/tensorflow/tensorflow/python/tools/ |
| print_selective_registration_header_test.py | 64 op: "BiasAdd"
98 ('BiasAdd', 'BiasOp<CPUDevice, float>'), #
114 ('BiasAdd', 'BiasOp<CPUDevice, float>'), #
192 || isequal(op, "BiasAdd")
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| /external/tensorflow/tensorflow/examples/speech_commands/ |
| models.py | 139 [BiasAdd]<-(bias)
178 [BiasAdd]<-(bias)
186 [BiasAdd]<-(bias)
194 [BiasAdd]<-(bias)
287 [BiasAdd]<-(bias)
293 [BiasAdd]<-(bias)
297 [BiasAdd]<-(bias)
301 [BiasAdd]<-(bias)
399 [BiasAdd]<-(bias)
405 [BiasAdd]<-(bias
[all...] |
| /external/tensorflow/tensorflow/python/ops/ |
| hidden_ops.txt | 319 BiasAdd
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| /external/tensorflow/tensorflow/core/kernels/ |
| cwise_ops_test.cc | 131 Graph* BiasAdd(int rows, int cols, DataType type) {
139 test::graph::Binary(g, "BiasAdd", test::graph::Constant(g, lhs),
151 test::Benchmark(#DEVICE, BiasAdd<C_TYPE>(rows, cols, TF_TYPE)).Run(iters); \
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| bias_op.cc | 180 Name("BiasAdd").Device(DEVICE_CPU).TypeConstraint<type>("T"), \
192 Name("BiasAdd").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \
357 Name("BiasAdd").Device(DEVICE_GPU).TypeConstraint<type>("T"), \
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| bias_ops.cc | 72 REGISTER_XLA_OP(Name("BiasAdd"), BiasOp);
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| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| profile_model_architecture.md | 86 BiasAdd 1.28k float_ops (0.00%, 0.00%)
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| /external/tensorflow/tensorflow/cc/gradients/ |
| nn_grad_test.cc | 28 using ops::BiasAdd;
167 auto y = BiasAdd(scope_, x, bias);
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| /external/gemmlowp/meta/generators/ |
| transform_kernels_common.py | 391 class BiasAdd(common.Transform1DKernelGenerator):
396 'BiasAdd<%s>' % bias_type)
490 emitter.EmitComment('BiasAdd::Transform')
572 biasadd = BiasAdd('uint8_t', cc_emitter, asm_emitter)
589 biasadd.SpecializeTransform1DKernel('uint8_t', 'int32_t', shape[0],
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| /external/tensorflow/tensorflow/core/graph/ |
| mkl_layout_pass.cc | 63 // Currently, we merge Conv2D+AddBias together. Consider Conv2D and BiasAdd as:
66 // P = BiasAdd(O, C)
74 // - The merge for Conv2D and BiasAdd happens when the output of Conv2D _only_
75 // goes to BiasAdd.
264 csinfo_.bias_add = "BiasAdd";
576 // Currently, we merge Conv2D with BiasAdd only.
[all...] |
| mkl_layout_pass_test.cc | 152 // C=_MklConv2D(A,M,B,N); E=BiasAdd(C,D); Z=Zeta(E,Y) (for interleaved ordering)
153 // C=_MklConv2D(A,B,M,N); E=BiasAdd(C,D); Z=Zeta(E,Y) (for contiguous ordering)
169 "node { name: 'E' op: 'BiasAdd'"
184 // C=_MklConv2D(A,M:1,B,N:1); E=BiasAdd(C,D); Z=Zeta(E,Y) (for interleaved)
185 // C=_MklConv2D(A,B,M:1,N:1); E=BiasAdd(C,D); Z=Zeta(E,Y) (for contiguous)
202 "node { name: 'E' op: 'BiasAdd'"
217 // C=Conv2D(A,B); E=BiasAdd(C,D); Z=Zeta(E,Y);
220 // with BiasAdd to produce _MklConv2DWithBias.
234 "node { name: 'E' op: 'BiasAdd'"
269 // _MklConv2D output does not go to BiasAdd
[all...] |
| mkl_tfconversion_pass_test.cc | 241 // C=Conv2D(A,B); E=BiasAdd(C,D); Z=Sub(E,Y);
255 "node { name: 'E' op: 'BiasAdd'"
264 "A(Input);B(Input);C(Conv2D);D(Input);E(BiasAdd);Y(Input);Z(Sub)|"
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| vgg_test.py | 51 self.assertEquals(logits.op.name, 'vgg_a/fc8/BiasAdd')
172 self.assertEquals(logits.op.name, 'vgg_16/fc8/BiasAdd')
306 self.assertEquals(logits.op.name, 'vgg_19/fc8/BiasAdd')
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| /external/tensorflow/tensorflow/cc/framework/ |
| scope.h | 77 /// auto r = BiasAdd(linear, m, b); // name: "linear/BiasAdd"
|
