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Searched refs:block_size (Results 1 – 25 of 44) sorted by relevance

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/frameworks/ml/nn/runtime/test/generated/models/
Ddepth_to_space_float_2_relaxed.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel()
35 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
39 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
40 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_depth_float_3_relaxed.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel()
35 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
39 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
40 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dbatch_to_space.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel()
33 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dbatch_to_space_float_1_relaxed.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel()
35 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
39 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
40 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_depth_float_1.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel()
33 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_depth_float_2_relaxed.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel()
35 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
39 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
40 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Ddepth_to_space_float_3_relaxed.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel()
35 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
39 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
40 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Ddepth_to_space_float_3.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel()
33 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dbatch_to_space_float_1.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel()
33 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_depth_float_3.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel()
33 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_depth_float_2.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel()
33 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_depth_float_1_relaxed.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel()
35 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
39 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
40 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Ddepth_to_space_float_1_relaxed.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel()
35 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
39 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
40 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Ddepth_to_space_float_1.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel()
33 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dbatch_to_space_quant8_1.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel()
33 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Ddepth_to_space_float_2.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel()
33 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dbatch_to_space_relaxed.model.cpp9 auto block_size = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel()
35 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
39 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
40 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_batch_quant8_3.model.cpp10 auto block_size = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
38 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
43 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
46 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_batch_float_2.model.cpp10 auto block_size = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
38 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
43 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
46 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_batch_relaxed.model.cpp10 auto block_size = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
40 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
48 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_batch_float_3_relaxed.model.cpp10 auto block_size = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
40 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
48 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_batch_float_1.model.cpp10 auto block_size = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
38 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
43 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
46 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel_dynamic_output_shape()
Dspace_to_batch_quant8_1.model.cpp10 auto block_size = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
38 auto block_size = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
43 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
46 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel_dynamic_output_shape()
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/src/google/protobuf/io/
Dzero_copy_stream_impl_lite.cc59 int block_size) in ArrayInputStream() argument
62 block_size_(block_size > 0 ? block_size : size), in ArrayInputStream()
112 ArrayOutputStream::ArrayOutputStream(void* data, int size, int block_size) in ArrayOutputStream() argument
115 block_size_(block_size > 0 ? block_size : size), in ArrayOutputStream()
250 CopyingInputStream* copying_stream, int block_size) in CopyingInputStreamAdaptor() argument
255 buffer_size_(block_size > 0 ? block_size : kDefaultBlockSize), in CopyingInputStreamAdaptor()
356 CopyingOutputStream* copying_stream, int block_size) in CopyingOutputStreamAdaptor() argument
361 buffer_size_(block_size > 0 ? block_size : kDefaultBlockSize), in CopyingOutputStreamAdaptor()
Dprinter_unittest.cc57 const int block_size = 100; in TEST() local
58 ArrayOutputStream output(buffer, GOOGLE_ARRAYSIZE(buffer), block_size); in TEST()
66 for (int block_size = 1; block_size < 512; block_size *= 2) { in TEST() local
67 ArrayOutputStream output(buffer, sizeof(buffer), block_size); in TEST()
91 for (int block_size = 1; block_size < 512; block_size *= 2) { in TEST() local
92 ArrayOutputStream output(buffer, sizeof(buffer), block_size); in TEST()
119 for (int block_size = 1; block_size < 512; block_size *= 2) { in TEST() local
120 ArrayOutputStream output(buffer, sizeof(buffer), block_size); in TEST()
366 for (int block_size = 1; block_size < 512; block_size *= 2) { in TEST() local
367 ArrayOutputStream output(buffer, sizeof(buffer), block_size); in TEST()

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