/external/tensorflow/tensorflow/examples/speech_commands/ |
H A D | train.py | 81 import input_data namespace 99 len(input_data.prepare_words_list(FLAGS.wanted_words.split(','))), 102 audio_processor = input_data.AudioProcessor(
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/external/tensorflow/tensorflow/python/kernel_tests/ |
H A D | pooling_ops_test.py | 1207 def _testMaxPoolGradDirect(self, input_data, output_backprop, 1213 input_tensor = constant_op.constant(input_data, shape=input_sizes) 1235 input_data = [ 1248 input_data, 1262 input_data = [ 1275 input_data, 1289 input_data = [ 1333 input_data, 1347 input_data = [float("nan")] * 16 1356 input_data, [all...] |
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
H A D | grow_stats.cc | 41 const std::unique_ptr<TensorDataSet>& input_data, 53 if (input_data != nullptr && target != nullptr && 55 AdditionalInitializationExample(input_data, target, example); 133 const std::unique_ptr<TensorDataSet>& input_data, const InputTarget* target, 147 input_data->GetExampleValue(example, test.feature_id()); 183 const std::unique_ptr<TensorDataSet>& input_data, const InputTarget* target, 190 if (eval->Decide(input_data, example) == LEFT_INDEX) { 863 const std::unique_ptr<TensorDataSet>& input_data, const InputTarget* target, 869 if (eval->Decide(input_data, example) == LEFT_INDEX) { 40 AddSplit(const decision_trees::BinaryNode& split, const std::unique_ptr<TensorDataSet>& input_data, const InputTarget* target, int example) argument 132 AdditionalInitializationExample( const std::unique_ptr<TensorDataSet>& input_data, const InputTarget* target, int example) argument 182 AddExample( const std::unique_ptr<TensorDataSet>& input_data, const InputTarget* target, int example) argument 862 AddExample( const std::unique_ptr<TensorDataSet>& input_data, const InputTarget* target, int example) argument
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/external/tensorflow/tensorflow/contrib/factorization/examples/ |
H A D | mnist.py | 39 from tensorflow.examples.tutorials.mnist import input_data namespace 69 data_set: The set of images and labels, from input_data.read_data_sets() 100 input_data.read_data_sets(). 188 data_sets = input_data.read_data_sets(train_dir, FLAGS.fake_data)
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/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
H A D | resolve_constant_transpose.cc | 32 const std::vector<DataType<Type>>& input_data = local 80 input_data.data() + i3 * input_stride_3;
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/external/tensorflow/tensorflow/examples/tutorials/mnist/ |
H A D | fully_connected_feed.py | 30 from tensorflow.examples.tutorials.mnist import input_data namespace 69 data_set: The set of images and labels, from input_data.read_data_sets() 100 input_data.read_data_sets(). 120 data_sets = input_data.read_data_sets(FLAGS.input_data_dir, FLAGS.fake_data) 261 'tensorflow/mnist/input_data'),
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H A D | mnist_with_summaries.py | 33 from tensorflow.examples.tutorials.mnist import input_data namespace 40 mnist = input_data.read_data_sets(FLAGS.data_dir, 204 'tensorflow/mnist/input_data'),
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/external/tensorflow/tensorflow/python/data/kernel_tests/ |
H A D | dataset_constructor_op_test.py | 504 input_data = np.random.randn(input_size) 507 dataset_ops.Dataset.from_tensor_slices(input_data) 541 input_data = np.random.randn(input_size) 544 dataset_ops.Dataset.from_tensor_slices(input_data) 580 input_data = np.random.randn(input_size) 583 dataset_ops.Dataset.from_tensor_slices(input_data.reshape(100, 100)) 618 input_data = np.random.randn(input_size) 621 dataset_ops.Dataset.from_tensor_slices(input_data).batch(batch_size)
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H A D | filter_dataset_op_test.py | 106 input_data = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.int64) 124 self.assertAllEqual(input_data[0], sess.run(get_next))
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/external/tensorflow/tensorflow/tools/dist_test/python/ |
H A D | mnist_replica.py | 44 from tensorflow.examples.tutorials.mnist import input_data namespace 90 mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=True)
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/external/tensorflow/tensorflow/core/kernels/ |
H A D | quantized_conv_ops.cc | 48 // input_data = [input_batches, input_height, input_width, input_depth] 54 void operator()(OpKernelContext* context, const T1* input_data, argument 144 input_data[(batch * input_height * input_width * 200 void operator()(OpKernelContext* context, const T1* input_data, argument 222 conv_functor(context, input_data, input_batches, input_height, 306 input_data + (batch * input_height * input_width * input_depth);
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H A D | pooling_ops_3d_sycl.h | 137 T* input_data = ConvertToActualTypeSycl(T, input_accessor_); local 158 input_data + n * p_.in_planes_ * p_.in_cols_ * p_.in_rows_ * p_.depth_; 252 T* input_data = ConvertToActualTypeSycl(T, input_data_accessor_); local 283 input_data + n * p_.in_planes_ * p_.in_cols_ * p_.in_rows_ * p_.depth_; 309 bool is_max = (input_data[index] == output_data_n[output_data_idx]); 423 T* input_data = ConvertToActualTypeSycl(T, input_data_accessor_); local 447 input_data + n * p_.in_planes_ * p_.in_cols_ * p_.in_rows_ * p_.depth_; 543 T* input_data = ConvertToActualTypeSycl(T, input_accessor_); local 566 input_data + n * p_.in_planes_ * p_.in_cols_ * p_.in_rows_ * p_.depth_;
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H A D | adjust_contrast_op.cc | 216 auto input_data = input->shaped<float, 3>({batch, image_size, channels}); variable 221 ReduceMeanAcrossImage(input_data, mean_data, output_data); 226 IncrementWithScaling(input_data, factor->scalar<float>(), output_data);
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H A D | resize_bicubic_op.cc | 226 const typename TTypes<T, 4>::ConstTensor& input_data, 236 const T* input_b_ptr = input_data.data(); 483 typename TTypes<T, 4>::ConstTensor input_data(input.tensor<T, 4>()); 486 interpolate_with_caching<T>(input_data, st, output_data); 225 interpolate_with_caching( const typename TTypes<T, 4>::ConstTensor& input_data, const ImageResizerState& resizer_state, typename TTypes<float, 4>::Tensor output_data) argument
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H A D | cudnn_pooling_gpu.cc | 91 auto input_data = AsDeviceMemory(transformed_input.template flat<T>().data(), local 101 ->ThenPoolForward(pooling_desc, input_desc, input_data,
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/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/ |
H A D | model_ops.cc | 20 #include "tensorflow/contrib/tensor_forest/kernels/v4/input_data.h" 176 const Tensor& input_data = context->input(1); variable 182 data_set->set_input_tensors(input_data, sparse_input_indices, 277 const Tensor& input_data = context->input(1); variable 283 data_set->set_input_tensors(input_data, sparse_input_indices,
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/external/tensorflow/tensorflow/compiler/xla/tests/ |
H A D | copy_test.cc | 251 auto input_data = client_->TransferToServer(*empty).ConsumeValueOrDie(); local 253 auto actual = ExecuteAndTransfer(&builder, {input_data.get()}, &out_shape)
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H A D | reduce_window_test.cc | 300 auto input_data = CreateParameterAndTransferLiteral( local 310 {input_data.get()}, DefaultErrorSpec()); 368 auto input_data = CreateParameterAndTransferLiteral( local 380 {input_data.get()}, DefaultErrorSpec()); 390 auto input_data = CreateParameterAndTransferLiteral( local 402 {input_data.get()}, DefaultErrorSpec()); 412 auto input_data = CreateParameterAndTransferLiteral( local 424 {input_data.get()}, DefaultErrorSpec());
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H A D | batch_normalization_test.cc | 520 std::unique_ptr<GlobalData> input_data = local 536 {input_data.get(), scale_data.get(), offset_data.get()}, 621 std::unique_ptr<GlobalData> input_data = local 643 {input_data.get(), scale_data.get(), offset_data.get(), mean_data.get(), 806 std::unique_ptr<GlobalData> input_data = local 832 {input_data.get(), scale_data.get(), mean_data.get(),
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/external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
H A D | mnist.py | 33 from tensorflow.examples.tutorials.mnist import input_data namespace 268 data = input_data.read_data_sets(FLAGS.data_dir) 320 default='/tmp/tensorflow/mnist/input_data', 322 '/tmp/tensorflow/mnist/input_data)'))
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/external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/ |
H A D | mnist.py | 33 from tensorflow.examples.tutorials.mnist import input_data namespace 157 data = input_data.read_data_sets(data_dir, one_hot=True) 219 default='/tmp/tensorflow/mnist/input_data',
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/external/tensorflow/tensorflow/contrib/lite/toco/ |
H A D | tooling_util.h | 287 const float* input_data, float* output_data); 290 const uint8* input_data, uint8* output_data);
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H A D | export_tensorflow.cc | 89 void ExportFloatArray(const Shape& input_shape, const float* input_data, argument 104 string(reinterpret_cast<const char*>(input_data), 105 sizeof(*input_data) * input_flat_size)); 109 const float* input_data, AxesOrder output_axes_order, 122 input_data, shuffled_data.data()); 139 const float* input_data, 152 ExportFloatArray(input_axes_order, input_shape, input_data, output_axes_order, 157 const float* input_data, 169 ExportFloatArray(input_axes_order, input_shape, input_data, output_axes_order, 190 const float* input_data local 108 ExportFloatArray(AxesOrder input_axes_order, const Shape& input_shape, const float* input_data, AxesOrder output_axes_order, TensorProto* output_tensor, LegacyScalarPolicy legacy_scalar_policy) argument 138 ConvertFloatTensorConst(const string& name, const Shape& input_shape, const float* input_data, AxesOrder input_axes_order, AxesOrder output_axes_order, GraphDef* tensorflow_graph, LegacyScalarPolicy legacy_scalar_policy) argument 156 ConvertFloatTensorConst(const string& name, const Shape& input_shape, const float* input_data, AxesOrder input_axes_order, AxesOrder output_axes_order, GraphDef* tensorflow_graph) argument 211 const float* input_data = local [all...] |
/external/tensorflow/tensorflow/core/kernels/neon/ |
H A D | depthwiseconv_float.h | 427 const float* input_data, int pad_width, 484 const float* input_ptr = input_data + in_x_origin * input_depth; 500 int stride, int input_depth, int input_width, const float* input_data, 522 const float* input_ptr = input_data + in_x_origin * input_depth; 553 void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, argument 652 input_data + in_y * input_dims.strides[2] + 426 FloatDepthwiseConvAccumRow(int stride, int input_depth, int input_width, const float* input_data, int pad_width, int depth_multiplier, int filter_width, const float* filter_data, int out_x_buffer_start, int out_x_buffer_end, int output_depth, float* acc_buffer) argument 499 FloatDepthwiseConvAccumRowGeneric( int stride, int input_depth, int input_width, const float* input_data, int pad_width, int depth_multiplier, int filter_width, const float* filter_data, int out_x_buffer_start, int out_x_buffer_end, int output_depth, float* acc_buffer) argument
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/external/tensorflow/tensorflow/python/keras/_impl/keras/engine/ |
H A D | topology.py | 1011 for input_data in node_data: 1012 inbound_layer_name = input_data[0] 1013 inbound_node_index = input_data[1] 1014 inbound_tensor_index = input_data[2] 1015 if len(input_data) == 3: 1017 elif len(input_data) == 4: 1018 kwargs = input_data[3]
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