| /bootable/recovery/minadbd/ |
| fuse_adb_provider.h | 26 uint32_t block_size; member in struct:adb_data
30 int run_adb_fuse(int sfd, uint64_t file_size, uint32_t block_size);
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| minadbd_services.cpp | 34 int block_size; local
35 if (sscanf(args.c_str(), "%d:%d", &file_size, &block_size) != 2) {
40 printf("sideload-host file size %d block size %d\n", file_size, block_size);
42 int result = run_adb_fuse(sfd, file_size, block_size);
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| /external/tensorflow/tensorflow/core/util/ |
| work_sharder.cc | 50 // Each shard contains up to "block_size" units. [0, total) is sharded
52 // [0, block_size), [block_size, 2*block_size), ...
55 // block_size.
56 const int64 block_size = (total + num_shards - 1) / num_shards; local
57 CHECK_GT(block_size, 0); // total > 0 guarantees this.
58 if (block_size >= total) {
62 const int num_shards_used = (total + block_size - 1) / block_size;
[all...] |
| /frameworks/ml/nn/runtime/test/generated/models/ |
| batch_to_space.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
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| batch_to_space_float_1.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
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| batch_to_space_float_1_relaxed.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
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| batch_to_space_quant8_1.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
|
| batch_to_space_relaxed.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
|
| depth_to_space_float_1.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
|
| depth_to_space_float_1_relaxed.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
|
| depth_to_space_float_2.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
|
| depth_to_space_float_2_relaxed.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
|
| depth_to_space_float_3.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
|
| depth_to_space_float_3_relaxed.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
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| space_to_depth_float_1.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
|
| space_to_depth_float_1_relaxed.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
|
| space_to_depth_float_2.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
|
| space_to_depth_float_2_relaxed.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
|
| space_to_depth_float_3.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
|
| space_to_depth_float_3_relaxed.model.cpp | 8 auto block_size = model->addOperand(&type1); local
12 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
|
| /system/core/libsparse/ |
| sparse_file.h | 27 unsigned int block_size; member in struct:sparse_file
|
| /system/extras/squashfs_utils/ |
| squashfs_utils.h | 28 uint32_t block_size; member in struct:squashfs_info
|
| /bootable/recovery/ |
| fuse_sdcard_provider.cpp | 38 uint32_t block_size; member in struct:file_data
43 off64_t offset = static_cast<off64_t>(block) * fd.block_size;
71 fd.block_size = 65536;
82 return run_fuse_sideload(vtab, fd.file_size, fd.block_size) == 0;
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| /device/linaro/bootloader/arm-trusted-firmware/include/drivers/io/ |
| io_block.h | 21 size_t block_size; member in struct:io_block_dev_spec
|
| /external/syslinux/gpxe/src/include/gpxe/ |
| nvs.h | 36 unsigned int block_size; member in struct:nvs_device
|
