/external/tensorflow/tensorflow/examples/tutorials/mnist/ |
H A D | __init__.py | 21 from tensorflow.examples.tutorials.mnist import input_data namespace
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H A D | mnist_softmax.py | 27 from tensorflow.examples.tutorials.mnist import input_data namespace 36 mnist = input_data.read_data_sets(FLAGS.data_dir) 81 default='/tmp/tensorflow/mnist/input_data',
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H A D | mnist_softmax_xla.py | 27 from tensorflow.examples.tutorials.mnist import input_data namespace 35 mnist = input_data.read_data_sets(FLAGS.data_dir) 101 default='/tmp/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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H A D | mnist_deep.py | 33 from tensorflow.examples.tutorials.mnist import input_data namespace 128 mnist = input_data.read_data_sets(FLAGS.data_dir) 173 default='/tmp/tensorflow/mnist/input_data',
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/external/bsdiff/ |
H A D | bz2_decompressor.cc | 16 bool BZ2Decompressor::SetInputData(const uint8_t* input_data, size_t size) { argument 23 stream_.next_in = reinterpret_cast<char*>(const_cast<uint8_t*>(input_data));
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H A D | brotli_decompressor.cc | 11 bool BrotliDecompressor::SetInputData(const uint8_t* input_data, size_t size) { argument 18 next_in_ = input_data;
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/external/tensorflow/tensorflow/core/kernels/ |
H A D | spectrogram_convert_test_data.cc | 29 std::vector<std::vector<std::complex<double>>> input_data; local 30 ReadCSVFileToComplexVectorOrDie(input_filename, &input_data); 32 if (!WriteComplexVectorToRawFloatFile(output_filename, input_data)) {
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H A D | colorspace_op.cc | 65 typename TTypes<T, 2>::ConstTensor input_data = input.flat_inner_dims<T>(); variable 71 TensorShape({input_data.dimension(0)}), 76 functor::RGBToHSV<Device, T>()(context->eigen_device<Device>(), input_data, 102 typename TTypes<T, 2>::ConstTensor input_data = input.flat_inner_dims<T>(); variable 105 functor::HSVToRGB<Device, T>()(context->eigen_device<Device>(), input_data, 129 const GPUDevice& d, TTypes<T, 2>::ConstTensor input_data, \ 134 const GPUDevice& d, TTypes<T, 2>::ConstTensor input_data, \
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/external/tensorflow/tensorflow/examples/how_tos/reading_data/ |
H A D | fully_connected_preloaded.py | 39 from tensorflow.examples.tutorials.mnist import input_data namespace 50 data_sets = input_data.read_data_sets(FLAGS.train_dir, FLAGS.fake_data)
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H A D | fully_connected_preloaded_var.py | 38 from tensorflow.examples.tutorials.mnist import input_data namespace 49 data_sets = input_data.read_data_sets(FLAGS.train_dir, FLAGS.fake_data)
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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/contrib/lite/toco/graph_transformations/ |
H A D | resolve_reorder_axes.cc | 37 auto& input_data = input_array->GetMutableBuffer<DataType>().data; local 48 input_data.data(), reordered_data.data()); 49 input_data = reordered_data;
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/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/core/ops/ |
H A D | routing_function_op.cc | 51 .Input("input_data: float") 68 input_data: The training batch's features as a 2-d tensor; `input_data[i][j]` 88 const Tensor& input_data = context->input(0); variable 92 if (input_data.shape().dim_size(0) > 0) { 94 context, input_data.shape().dims() == 2, 95 errors::InvalidArgument("input_data should be two-dimensional")); 99 if (!CheckTensorBounds(context, input_data)) return; 101 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); 103 static_cast<int32>(input_data [all...] |
H A D | routing_gradient_op.cc | 46 .Input("input_data: float") 93 const Tensor& input_data = context->input(0); variable 100 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); 102 static_cast<int32>(input_data.shape().dim_size(1)); 117 const Tensor point = input_data.Slice(i, i + 1);
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/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/ |
H A D | reinterpret_string_to_float_op.cc | 38 void Evaluate(const Tensor& input_data, Tensor output_data, int32 start, argument 41 const auto in_data = input_data.unaligned_flat<string>(); 54 const Tensor& input_data = context->input(0); variable 57 if (!CheckTensorBounds(context, input_data)) return; 61 context, context->allocate_output(0, input_data.shape(), &output_data)); 64 const int32 num_data = static_cast<int32>(input_data.NumElements()); 68 Evaluate(input_data, *output_data, 0, num_data); 70 auto work = [&input_data, output_data, num_data](int64 start, int64 end) { 73 Evaluate(input_data, *output_data, static_cast<int32>(start),
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/external/tensorflow/tensorflow/examples/learn/ |
H A D | random_forest_mnist.py | 30 from tensorflow.examples.tutorials.mnist import input_data namespace 58 mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=False)
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/external/tensorflow/tensorflow/examples/speech_commands/ |
H A D | freeze.py | 48 import input_data namespace 74 words_list = input_data.prepare_words_list(wanted_words.split(','))
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H A D | generate_streaming_test_wav.py | 49 import input_data namespace 87 words_list = input_data.prepare_words_list(FLAGS.wanted_words.split(',')) 91 audio_processor = input_data.AudioProcessor( 142 wanted_label = input_data.UNKNOWN_WORD_LABEL 160 input_data.save_wav_file(FLAGS.output_audio_file, output_audio,
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/external/tensorflow/tensorflow/python/debug/examples/ |
H A D | debug_mnist.py | 32 from tensorflow.examples.tutorials.mnist import input_data namespace 44 mnist = input_data.read_data_sets(FLAGS.data_dir,
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/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
H A D | convolution_thunk.cc | 66 se::DeviceMemoryBase input_data = local 79 convolution_kind_, input_shape_, filter_shape_, output_shape_, input_data, 90 return input_data.opaque();
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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 | reshape_test.cc | 730 auto input_data = CreateParameterAndTransferLiteral( local 736 ComputeAndCompareLiteral(&builder, *expected, {input_data.get()}, 752 auto input_data = CreateParameterAndTransferLiteral( local 758 ComputeAndCompareLiteral(&builder, *expected, {input_data.get()}, 775 auto input_data = CreateParameterAndTransferLiteral( local 786 ComputeAndCompareLiteral(&builder, *expected, {input_data.get()}, 802 auto input_data = CreateParameterAndTransferLiteral( local 814 ->ExecuteAndTransfer(computation, {input_data.get()}, 884 auto input_data = CreateParameterAndTransferLiteral( local 895 ComputeAndCompareLiteral(&builder, *expected, {input_data 913 auto input_data = CreateParameterAndTransferLiteral( local 942 auto input_data = CreateParameterAndTransferLiteral( local 972 auto input_data = CreateParameterAndTransferLiteral( local 1001 auto input_data = CreateParameterAndTransferLiteral( local [all...] |
/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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