Searched refs:input_data (Results 126 - 150 of 180) sorted by relevance

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/external/tensorflow/tensorflow/examples/speech_commands/
H A Dtrain.py81 import input_data namespace
99 len(input_data.prepare_words_list(FLAGS.wanted_words.split(','))),
102 audio_processor = input_data.AudioProcessor(
/external/tensorflow/tensorflow/python/kernel_tests/
H A Dpooling_ops_test.py1207 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,
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/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/
H A Dgrow_stats.cc41 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
/external/tensorflow/tensorflow/contrib/factorization/examples/
H A Dmnist.py39 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)
/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/
H A Dresolve_constant_transpose.cc32 const std::vector<DataType<Type>>& input_data = local
80 input_data.data() + i3 * input_stride_3;
/external/tensorflow/tensorflow/examples/tutorials/mnist/
H A Dfully_connected_feed.py30 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'),
H A Dmnist_with_summaries.py33 from tensorflow.examples.tutorials.mnist import input_data namespace
40 mnist = input_data.read_data_sets(FLAGS.data_dir,
204 'tensorflow/mnist/input_data'),
/external/tensorflow/tensorflow/python/data/kernel_tests/
H A Ddataset_constructor_op_test.py504 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)
H A Dfilter_dataset_op_test.py106 input_data = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.int64)
124 self.assertAllEqual(input_data[0], sess.run(get_next))
/external/tensorflow/tensorflow/tools/dist_test/python/
H A Dmnist_replica.py44 from tensorflow.examples.tutorials.mnist import input_data namespace
90 mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=True)
/external/tensorflow/tensorflow/core/kernels/
H A Dquantized_conv_ops.cc48 // 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);
H A Dpooling_ops_3d_sycl.h137 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_;
H A Dadjust_contrast_op.cc216 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);
H A Dresize_bicubic_op.cc226 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
H A Dcudnn_pooling_gpu.cc91 auto input_data = AsDeviceMemory(transformed_input.template flat<T>().data(), local
101 ->ThenPoolForward(pooling_desc, input_desc, input_data,
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/
H A Dmodel_ops.cc20 #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,
/external/tensorflow/tensorflow/compiler/xla/tests/
H A Dcopy_test.cc251 auto input_data = client_->TransferToServer(*empty).ConsumeValueOrDie(); local
253 auto actual = ExecuteAndTransfer(&builder, {input_data.get()}, &out_shape)
H A Dreduce_window_test.cc300 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());
H A Dbatch_normalization_test.cc520 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(),
/external/tensorflow/tensorflow/contrib/eager/python/examples/gan/
H A Dmnist.py33 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)'))
/external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/
H A Dmnist.py33 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',
/external/tensorflow/tensorflow/contrib/lite/toco/
H A Dtooling_util.h287 const float* input_data, float* output_data);
290 const uint8* input_data, uint8* output_data);
H A Dexport_tensorflow.cc89 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
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/external/tensorflow/tensorflow/core/kernels/neon/
H A Ddepthwiseconv_float.h427 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
/external/tensorflow/tensorflow/python/keras/_impl/keras/engine/
H A Dtopology.py1011 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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