/external/tensorflow/tensorflow/lite/testing/model_coverage/ |
D | model_coverage_lib.py | 127 def _get_input_data_map(tflite_model, input_data): argument 142 for input_tensor, data in zip(input_details, input_data) 177 input_data = [] 185 input_data.append(np.array(val, dtype=input_tensor["dtype"])) 187 input_data_map = _get_input_data_map(tflite_model, input_data) 188 return input_data, input_data_map 191 def _evaluate_tflite_model(tflite_model, input_data, input_shapes_resize=None): argument 210 for input_tensor, tensor_data in zip(input_details, input_data): 253 def run_session(input_data): argument 255 return sess.run(outputs, dict(zip(inputs, input_data))) [all …]
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/external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
D | text_vectorization_test.py | 247 def test_layer_end_to_end_with_adapt(self, vocab_data, input_data, kwargs, argument 254 input_shape = input_data.shape 269 input_data = dataset_ops.Dataset.from_tensor_slices(input_data).batch( 279 input_data=input_data, 293 input_data = keras.Input(shape=(None,), dtype=dtypes.string) 300 int_data = layer(input_data) 301 model = keras.Model(inputs=input_data, outputs=int_data) 312 input_data = keras.Input(shape=(None,), dtype=dtypes.string) 319 int_data = layer(input_data) 320 model = keras.Model(inputs=input_data, outputs=int_data) [all …]
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D | categorical_encoding_test.py | 60 input_data = keras.Input(shape=(None,), dtype=dtypes.int32) 63 int_data = layer(input_data) 66 model = keras.Model(inputs=input_data, outputs=int_data) 80 input_data = keras.Input(shape=(None,), dtype=dtypes.int32) 84 int_data = layer(input_data) 87 model = keras.Model(inputs=input_data, outputs=int_data) 101 input_data = keras.Input(shape=(None,), dtype=dtypes.int32) 104 int_data = layer(input_data) 107 model = keras.Model(inputs=input_data, outputs=int_data) 121 input_data = keras.Input(shape=(None,), dtype=dtypes.int32) [all …]
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | base_preprocessing_layer_test.py | 159 input_data = keras.Input(shape=(1,)) 161 output = layer(input_data) 162 model = keras.Model(input_data, output) 177 input_data = keras.Input(shape=(1,)) 178 output = layer(input_data) 179 model = keras.Model(input_data, output) 189 input_data = keras.Input(shape=(1,)) 191 output = layer(input_data) 192 model = keras.Model(input_data, output) 211 input_data = keras.Input(shape=(1,)) [all …]
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/external/tensorflow/tensorflow/lite/python/ |
D | lite_v2_test.py | 57 def _evaluateTFLiteModel(self, tflite_model, input_data, input_shapes=None): argument 81 for input_tensor, tensor_data in zip(input_details, input_data): 143 input_data = constant_op.constant(1., shape=[1]) 144 concrete_func = root.f.get_concrete_function(input_data) 152 expected_value = root.f(input_data) 153 actual_value = self._evaluateTFLiteModel(tflite_model, [input_data]) 159 input_data = constant_op.constant(1., shape=[]) 160 concrete_func = root.f.get_concrete_function(input_data) 167 expected_value = root.f(input_data) 168 actual_value = self._evaluateTFLiteModel(tflite_model, [input_data]) [all …]
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/external/tensorflow/tensorflow/python/keras/utils/ |
D | composite_tensor_support_test.py | 183 input_data = np.array([[1, 0, 0], [2, 3, 0]]) 185 output = model.predict(input_data) 195 input_data = np.array([[1, 0, 0], [2, 3, 0]]) 197 output = model.predict(input_data) 208 input_data = np.random.rand(1024, 1) 209 expected_data = np.concatenate((input_data * 3, input_data * .5), axis=-1) 212 history = model.fit(input_data, expected_data, epochs=10, verbose=0) 232 input_data = np.array([[1, 0, 0], [2, 3, 0]]) 233 output = model.predict(input_data) 247 input_data = np.array([[1, 0, 0], [2, 3, 0], [4, 0, 0], [5, 6, 0]]) [all …]
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/external/tensorflow/tensorflow/lite/kernels/internal/ |
D | resize_nearest_neighbor_test.cc | 30 const RuntimeShape& input_shape, const std::vector<T>& input_data, in TestReferenceResizeNearestNeighbor() argument 39 op_params, input_shape, input_data.data(), output_size_shape, in TestReferenceResizeNearestNeighbor() 49 std::vector<float> input_data = {1, 2, 3, 4}; in TEST() local 54 TestReferenceResizeNearestNeighbor(input_shape, input_data, output_size_data, in TEST() 60 std::vector<uint8> input_data = {1, 2, 3, 4}; in TEST() local 65 TestReferenceResizeNearestNeighbor(input_shape, input_data, output_size_data, in TEST() 71 std::vector<float> input_data = {1, 2, 3, 4, 5, 6, 7, 8, 9}; in TEST() local 76 TestReferenceResizeNearestNeighbor(input_shape, input_data, output_size_data, in TEST() 82 std::vector<uint8> input_data = {1, 2, 3, 4}; in TEST() local 87 TestReferenceResizeNearestNeighbor(input_shape, input_data, output_size_data, in TEST() [all …]
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D | softmax_quantized_test.cc | 37 void RunSoftmaxFloatReference(const uint8* input_data, in RunSoftmaxFloatReference() argument 51 reference_ops::Dequantize(dq_params, shape_common, input_data, shape_common, in RunSoftmaxFloatReference() 104 void RunOneSoftmaxTest(const uint8* input_data, in RunOneSoftmaxTest() argument 112 RunSoftmaxFloatReference(input_data, shape_common, input_offset, input_scale, in RunOneSoftmaxTest() 135 optimized_ops::Softmax(params, shape_common, input_data, shape_common, in RunOneSoftmaxTest() 137 reference_ops::Softmax(params, shape_common, input_data, shape_common, in RunOneSoftmaxTest() 174 std::vector<uint8> input_data(buffer_size); in TryOneUniformSoftmax() local 175 FillRandom(&input_data); in TryOneUniformSoftmax() 176 RunOneSoftmaxTest(input_data.data(), shape_common, input_offset, input_scale, in TryOneUniformSoftmax() 183 void RunOneSoftmaxTestInt8(const int8* input_data, in RunOneSoftmaxTestInt8() argument [all …]
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D | logsoftmax_quantized_test.cc | 37 void RunLogSoftmaxFloatReference(const uint8* input_data, in RunLogSoftmaxFloatReference() argument 51 reference_ops::Dequantize(dq_params, shape_common, input_data, shape_common, in RunLogSoftmaxFloatReference() 70 void RunLogSoftmaxFloatReference(const int8* input_data, in RunLogSoftmaxFloatReference() argument 84 reference_integer_ops::Dequantize(dq_params, shape_common, input_data, in RunLogSoftmaxFloatReference() 146 void RunOneLogSoftmaxTest(const uint8* input_data, in RunOneLogSoftmaxTest() argument 154 RunLogSoftmaxFloatReference(input_data, shape_common, input_offset, in RunOneLogSoftmaxTest() 185 optimized_ops::LogSoftmax(params, input_scale, shape_common, input_data, in RunOneLogSoftmaxTest() 187 reference_ops::LogSoftmax(params, shape_common, input_data, shape_common, in RunOneLogSoftmaxTest() 204 void RunOneLogSoftmaxTest(const int8* input_data, in RunOneLogSoftmaxTest() argument 211 RunLogSoftmaxFloatReference(input_data, shape_common, input_offset, in RunOneLogSoftmaxTest() [all …]
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D | averagepool_quantized_test.cc | 37 const int8* input_data, in RunOneAveragePoolTest() argument 43 reference_integer_ops::AveragePool(params, input_shape, input_data, in RunOneAveragePoolTest() 46 optimized_integer_ops::AveragePool(params, input_shape, input_data, in RunOneAveragePoolTest() 87 std::vector<int8> input_data(buffer_size); in CreateDataAndRunAveragePool() local 88 FillRandom(&input_data); in CreateDataAndRunAveragePool() 108 RunOneAveragePoolTest(params, input_shape, input_data.data(), output_shape); in CreateDataAndRunAveragePool() 173 std::vector<int8> input_data(buffer_size); in CreateExtremalDataAndRunAveragePool() local 178 FillRandom(&input_data, min, max); in CreateExtremalDataAndRunAveragePool() 179 RunOneAveragePoolTest(params, input_shape, input_data.data(), output_shape); in CreateExtremalDataAndRunAveragePool() 184 FillRandom(&input_data, min, max); in CreateExtremalDataAndRunAveragePool() [all …]
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/external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
D | legacy_reference_ops.h | 41 inline void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument 63 DepthwiseConv(op_params, DimsToShape(input_dims), input_data, in DepthwiseConv() 68 inline void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument 76 DepthwiseConv(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv() 84 void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument 92 DepthwiseConv(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv() 100 void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument 105 DepthwiseConv<Ac>(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv() 110 inline void DepthwiseConv(const uint8* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument 140 DepthwiseConv(op_params, DimsToShape(input_dims), input_data, in DepthwiseConv() [all …]
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D | pad.h | 39 const RuntimeShape& input_shape, const T* input_data, in PadImpl() argument 86 const T* in_ptr = input_data; in PadImpl() 112 const RuntimeShape& input_shape, const T* input_data, in Pad() argument 115 PadImpl(op_params, input_shape, input_data, pad_value_ptr, output_shape, in Pad() 122 const RuntimeShape& input_shape, const T* input_data, in Pad() argument 126 PadImpl(op_params, input_shape, input_data, &converted_pad_value, in Pad() 133 const RuntimeShape& input_shape, const int32* input_data, in Pad() argument 136 PadImpl(op_params, input_shape, input_data, pad_value_ptr, output_shape, in Pad() 145 const RuntimeShape& input_shape, const T* input_data, in PadImageStyle() argument 154 const uint8* input_data, const P* pad_value_ptr, in PadImageStyle() argument [all …]
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/external/tensorflow/tensorflow/python/framework/ |
D | convert_to_constants_test.py | 83 input_data): argument 91 expected_value = nest.flatten(func(**input_data)) 92 actual_value = nest.flatten(converted_concrete_func(**input_data)) 99 actual_shape = input_data[tensor.name.split(":")[0]].shape 110 actual_value = nest.flatten(loaded_obj.signatures["mykey"](**input_data)) 117 input_data = {"x": constant_op.constant(1., shape=[1])} 120 to_save = root.f.get_concrete_function(input_data["x"]) 133 self._testConvertedFunction(root, root.f, output_func, input_data) 138 input_data = {"x": constant_op.constant(1., shape=[1])} 143 input_func = root.f.get_concrete_function(input_data["x"]) [all …]
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/external/tensorflow/tensorflow/compiler/xla/tests/ |
D | convolution_variants_test.cc | 383 std::vector<float> input_data(64); in XLA_TEST_F() local 384 std::iota(input_data.begin(), input_data.end(), 0.0); in XLA_TEST_F() 385 Array4D<float> input_array(1, 1, 8, 8, input_data); in XLA_TEST_F() 403 std::vector<float> input_data(16 * 1 * 1 * 1); in XLA_TEST_F() local 404 std::iota(input_data.begin(), input_data.end(), 1.0); in XLA_TEST_F() 405 Array4D<float> input_array(16, 1, 1, 1, input_data); in XLA_TEST_F() 515 std::vector<float> input_data(2 * 8 * 8); in XLA_TEST_F() local 516 std::iota(input_data.begin(), input_data.end(), 0.0); in XLA_TEST_F() 517 Array4D<float> input_array(1, 2, 8, 8, input_data); in XLA_TEST_F() 541 std::vector<float> input_data(2 * 2 * 8 * 8); in XLA_TEST_F() local [all …]
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/external/tensorflow/tensorflow/compiler/xla/client/lib/ |
D | slicing_test.cc | 111 auto input_data = in XLA_TEST_F() local 118 {input_data.get(), index_data.get()}); in XLA_TEST_F() 125 auto input_data = in XLA_TEST_F() local 132 {input_data.get(), index_data.get()}); in XLA_TEST_F() 139 auto input_data = CreateR2Parameter<int>({{0, 0, 0}, {0, 0, 0}}, 0, "input", in XLA_TEST_F() local 150 {input_data.get(), index_data.get(), src_data.get()}); in XLA_TEST_F() 157 auto input_data = in XLA_TEST_F() local 169 {input_data.get(), index_data.get()}); in XLA_TEST_F() 176 auto input_data = in XLA_TEST_F() local 188 {input_data.get(), index_data.get()}); in XLA_TEST_F() [all …]
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/external/adhd/cras/src/server/ |
D | input_data.c | 20 struct input_data *data = (struct input_data *)ext; in input_data_run() 48 struct input_data *data = (struct input_data *)ext; in input_data_configure() 55 struct input_data *input_data_create(void *dev_ptr) in input_data_create() 57 struct input_data *data = (struct input_data *)calloc(1, sizeof(*data)); in input_data_create() 67 void input_data_destroy(struct input_data **data) in input_data_destroy() 75 void input_data_set_all_streams_read(struct input_data *data, in input_data_set_all_streams_read() 144 int input_data_get_for_stream(struct input_data *data, in input_data_get_for_stream() 180 int input_data_put_for_stream(struct input_data *data, in input_data_put_for_stream()
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D | input_data.h | 22 struct input_data { struct 34 struct input_data *input_data_create(void *dev_ptr); 37 void input_data_destroy(struct input_data **data); 40 void input_data_set_all_streams_read(struct input_data *data, 58 int input_data_get_for_stream(struct input_data *data, 73 int input_data_put_for_stream(struct input_data *data,
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/external/tensorflow/tensorflow/examples/speech_commands/ |
D | input_data_test.py | 27 from tensorflow.examples.speech_commands import input_data 80 audio_processor = input_data.AudioProcessor( 90 len(input_data.prepare_words_list(words_list)), len(words_list)) 94 input_data.which_set("foo.wav", 10, 10), 95 input_data.which_set("foo.wav", 10, 10)) 97 input_data.which_set("foo_nohash_0.wav", 10, 10), 98 input_data.which_set("foo_nohash_1.wav", 10, 10)) 104 audio_processor = input_data.AudioProcessor("", tmp_dir, 10, 10, 111 self.assertEquals(input_data.UNKNOWN_WORD_INDEX, 118 _ = input_data.AudioProcessor("", tmp_dir, 10, 10, ["a", "b"], 10, 10, [all …]
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/external/libjpeg-turbo/ |
D | jcsample.c | 62 JSAMPARRAY input_data, 148 JSAMPARRAY input_data, JSAMPARRAY output_data) in int_downsample() argument 165 expand_right_edge(input_data, cinfo->max_v_samp_factor, cinfo->image_width, in int_downsample() 175 inptr = input_data[inrow + v] + outcol_h; in int_downsample() 195 JSAMPARRAY input_data, JSAMPARRAY output_data) in fullsize_downsample() argument 198 jcopy_sample_rows(input_data, 0, output_data, 0, cinfo->max_v_samp_factor, in fullsize_downsample() 220 JSAMPARRAY input_data, JSAMPARRAY output_data) in h2v1_downsample() argument 232 expand_right_edge(input_data, cinfo->max_v_samp_factor, cinfo->image_width, in h2v1_downsample() 237 inptr = input_data[outrow]; in h2v1_downsample() 257 JSAMPARRAY input_data, JSAMPARRAY output_data) in h2v2_downsample() argument [all …]
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D | jdsample.c | 127 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in fullsize_upsample() argument 129 *output_data_ptr = input_data; in fullsize_upsample() 140 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in noop_upsample() argument 159 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in int_upsample() argument 176 inptr = input_data[inrow]; in int_upsample() 203 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in h2v1_upsample() argument 212 inptr = input_data[inrow]; in h2v1_upsample() 231 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in h2v2_upsample() argument 241 inptr = input_data[inrow]; in h2v2_upsample() 274 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in h2v1_fancy_upsample() argument [all …]
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/external/tensorflow/tensorflow/lite/kernels/ |
D | quantize.cc | 49 const float* input_data, in AffineQuantize() argument 53 reference_ops::AffineQuantize(op_params, input_shape, input_data, in AffineQuantize() 56 optimized_ops::AffineQuantize(op_params, input_shape, input_data, in AffineQuantize() 62 static inline void Requantize(const input_type* input_data, int32_t size, in Requantize() argument 68 reference_ops::Requantize(input_data, size, effective_scale_multiplier, in Requantize() 72 optimized_ops::Requantize(input_data, size, effective_scale_multiplier, in Requantize() 154 const float* input_data = GetTensorData<float>(input); in Eval() local 157 AffineQuantize<kernel_type>(op_params, input_shape, input_data, in Eval() 162 AffineQuantize<kernel_type>(op_params, input_shape, input_data, in Eval() 167 AffineQuantize<kernel_type>(op_params, input_shape, input_data, in Eval() [all …]
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/external/tensorflow/tensorflow/core/kernels/ |
D | colorspace_op.h | 30 typename TTypes<T, 2>::ConstTensor input_data, in operator() 37 auto R = input_data.template chip<1>(0); in operator() 38 auto G = input_data.template chip<1>(1); in operator() 39 auto B = input_data.template chip<1>(2); in operator() 47 V.device(d) = input_data.maximum(channel_axis); in operator() 49 range.device(d) = V - input_data.minimum(channel_axis); in operator() 68 typename TTypes<T, 2>::ConstTensor input_data, in operator() 70 auto H = input_data.template chip<1>(0); in operator() 71 auto S = input_data.template chip<1>(1); in operator() 72 auto V = input_data.template chip<1>(2); in operator()
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/external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
D | legacy_optimized_ops.h | 139 inline void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument 164 DepthwiseConvImpl(op_params, DimsToShape(input_dims), input_data, in DepthwiseConv() 171 inline void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument 179 DepthwiseConv(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv() 187 void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument 195 DepthwiseConv(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv() 203 void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument 208 DepthwiseConv<Ac>(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv() 216 const uint8* input_data, const RuntimeShape& filter_shape, in LegacyDepthwiseConvWithRounding() argument 254 params, input_shape, input_data, filter_shape, filter_data, bias_shape, in LegacyDepthwiseConvWithRounding() [all …]
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/external/protobuf/src/google/protobuf/util/ |
D | json_util_test.cc | 556 std::string input_data = "0123456789"; in TEST() local 557 for (int input_pattern = 0; input_pattern < (1 << (input_data.size() - 1)); in TEST() 564 for (int j = 0; j < input_data.length() - 1; ++j) { in TEST() 566 byte_sink.Append(&input_data[start], j - start + 1); in TEST() 570 byte_sink.Append(&input_data[start], input_data.length() - start); in TEST() 572 EXPECT_EQ(input_data, std::string(buffer, input_data.length())); in TEST() 576 input_data = "012345678"; in TEST() 577 for (int input_pattern = 0; input_pattern < (1 << (input_data.size() - 1)); in TEST() 584 for (int j = 0; j < input_data.length() - 1; ++j) { in TEST() 586 byte_sink.Append(&input_data[start], j - start + 1); in TEST() [all …]
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/external/mesa3d/src/gallium/auxiliary/draw/ |
D | draw_tess.c | 60 float (*input_data)[32][NUM_TCS_INPUTS][TGSI_NUM_CHANNELS] = &shader->tcs_input->data; in llvm_fetch_tcs_input() local 83 (*input_data)[i][slot][0] = 0; in llvm_fetch_tcs_input() 84 (*input_data)[i][slot][1] = 0; in llvm_fetch_tcs_input() 85 (*input_data)[i][slot][2] = 0; in llvm_fetch_tcs_input() 86 (*input_data)[i][slot][3] = 0; in llvm_fetch_tcs_input() 88 (*input_data)[i][slot][0] = input[vs_slot][0]; in llvm_fetch_tcs_input() 89 (*input_data)[i][slot][1] = input[vs_slot][1]; in llvm_fetch_tcs_input() 90 (*input_data)[i][slot][2] = input[vs_slot][2]; in llvm_fetch_tcs_input() 91 (*input_data)[i][slot][3] = input[vs_slot][3]; in llvm_fetch_tcs_input() 93 debug_printf("\t\t%p = %f %f %f %f\n", &(*input_data)[i][slot][0], in llvm_fetch_tcs_input() [all …]
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