| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| space_to_batch.mod.py | 4 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [0, 0, 0, 0]) variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_float_1.mod.py | 4 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [0, 0, 0, 0]) variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_float_1_relaxed.mod.py | 20 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [0, 0, 0, 0]) variable
23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_float_2.mod.py | 4 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 0, 2, 0]) variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_float_2_relaxed.mod.py | 20 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 0, 2, 0]) variable
23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_float_3.mod.py | 4 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 1, 2, 4]) variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_float_3_relaxed.mod.py | 20 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 1, 2, 4]) variable
23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_quant8_1.mod.py | 4 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [0, 0, 0, 0]) variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_quant8_2.mod.py | 4 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 0, 2, 0]) variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_quant8_3.mod.py | 4 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 1, 2, 4]) variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| space_to_batch_relaxed.mod.py | 20 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [0, 0, 0, 0]) variable
23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
|
| /external/bouncycastle/bcprov/src/main/java/org/bouncycastle/crypto/paddings/ |
| BlockCipherPadding.java | 1 package org.bouncycastle.crypto.paddings;
|
| PKCS7Padding.java | 1 package org.bouncycastle.crypto.paddings;
|
| /external/eigen/unsupported/test/ |
| cxx11_tensor_padding.cpp | 22 array<std::pair<ptrdiff_t, ptrdiff_t>, 4> paddings; local
23 paddings[0] = std::make_pair(0, 0);
24 paddings[1] = std::make_pair(2, 1);
25 paddings[2] = std::make_pair(3, 4);
26 paddings[3] = std::make_pair(0, 0);
29 padded = tensor.pad(paddings);
57 array<std::pair<ptrdiff_t, ptrdiff_t>, 4> paddings; local
58 paddings[0] = std::make_pair(0, 0);
59 paddings[1] = std::make_pair(2, 1);
60 paddings[2] = std::make_pair(3, 4)
[all...] |
| /frameworks/ml/nn/runtime/test/generated/models/ |
| space_to_batch.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_float_1.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_float_1_relaxed.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_float_2.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_float_2_relaxed.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_float_3.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_float_3_relaxed.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_quant8_1.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_quant8_2.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_quant8_3.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
| space_to_batch_relaxed.model.cpp | 10 auto paddings = model->addOperand(&type2); local
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
|
