Home
last modified time | relevance | path

Searched refs:paddings (Results 1 – 25 of 55) sorted by relevance

123

/frameworks/ml/nn/runtime/test/generated/models/
Dpad_all_dims.model.cpp9 auto paddings = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel()
33 auto paddings = model->addOperand(&type1); in CreateModel_float16() local
37 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_float16()
38 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel_float16()
57 auto paddings = model->addOperand(&type1); in CreateModel_relaxed() local
61 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_relaxed()
62 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel_relaxed()
83 auto paddings = model->addOperand(&type1); in CreateModel_quant8() local
[all …]
Dpad_v2_1_float.model.cpp10 auto paddings = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel()
38 auto paddings = model->addOperand(&type1); in CreateModel_float16() local
43 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_float16()
46 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel_float16()
66 auto paddings = model->addOperand(&type1); in CreateModel_relaxed() local
71 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_relaxed()
74 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel_relaxed()
96 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
[all …]
Dpad_v2_all_dims.model.cpp10 auto paddings = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel()
38 auto paddings = model->addOperand(&type1); in CreateModel_float16() local
43 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_float16()
46 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel_float16()
66 auto paddings = model->addOperand(&type1); in CreateModel_relaxed() local
71 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_relaxed()
74 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel_relaxed()
96 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
[all …]
Dpad_low_rank.model.cpp9 auto paddings = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel()
33 auto paddings = model->addOperand(&type1); in CreateModel_float16() local
37 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel_float16()
38 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel_float16()
57 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
61 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
62 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel_dynamic_output_shape()
81 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape_float16() local
[all …]
Dpad_v2_low_rank.model.cpp10 auto paddings = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel()
38 auto paddings = model->addOperand(&type1); in CreateModel_float16() local
43 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel_float16()
46 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel_float16()
66 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
74 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel_dynamic_output_shape()
94 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape_float16() local
[all …]
Dpad_quant8_nonzero.model.cpp9 auto paddings = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel()
33 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel_dynamic_output_shape()
Dpad_quant8.model.cpp9 auto paddings = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel()
33 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel_dynamic_output_shape()
Dpad_low_rank_quant8.model.cpp9 auto paddings = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel()
33 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
37 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
38 model->addOperation(ANEURALNETWORKS_PAD, {input0, paddings}, {output0}); in CreateModel_dynamic_output_shape()
Dpad_v2_low_rank_quant8.model.cpp10 auto paddings = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel()
38 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
43 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 2); in CreateModel_dynamic_output_shape()
46 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel_dynamic_output_shape()
Dspace_to_batch_quant8_3.model.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
39 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
39 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
41 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
41 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel_dynamic_output_shape()
48 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel_dynamic_output_shape()
Dpad_v2_all_dims_quant8.model.cpp10 auto paddings = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel()
38 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
43 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_dynamic_output_shape()
46 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel_dynamic_output_shape()
Dspace_to_batch_float_1.model.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
39 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
39 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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_nonzero.model.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
39 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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_relaxed.model.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
41 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel_dynamic_output_shape()
48 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel_dynamic_output_shape()
Dpad_v2_1_quant8.model.cpp10 auto paddings = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel()
38 auto paddings = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
43 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8); in CreateModel_dynamic_output_shape()
46 model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0}); in CreateModel_dynamic_output_shape()
Dspace_to_batch_float_3.model.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
39 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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_1_relaxed.model.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
41 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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_quant8_2.model.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
39 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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.model.cpp11 auto paddings = model->addOperand(&type2); in CreateModel() local
17 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); in CreateModel()
39 auto paddings = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); 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_v1_2.model.cpp12 auto paddings = model->addOperand(&type2); in CreateModel_nhwc() local
19 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel_nhwc()
22 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op1, param, paddings, layout}, {op4}); in CreateModel_nhwc()
44 auto paddings = model->addOperand(&type2); in CreateModel_nhwc_relaxed() local
51 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel_nhwc_relaxed()
54 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op1, param, paddings, layout}, {op4}); in CreateModel_nhwc_relaxed()
78 auto paddings = model->addOperand(&type2); in CreateModel_nhwc_float16() local
85 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); in CreateModel_nhwc_float16()
88 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op1, param, paddings, layout}, {op4}); in CreateModel_nhwc_float16()
110 auto paddings = model->addOperand(&type2); in CreateModel_nhwc_quant8() local
[all …]
/frameworks/base/keystore/java/android/security/keystore/
DKeyProperties.java446 public static int[] allToKeymaster(@Nullable @EncryptionPaddingEnum String[] paddings) { in allToKeymaster() argument
447 if ((paddings == null) || (paddings.length == 0)) { in allToKeymaster()
450 int[] result = new int[paddings.length]; in allToKeymaster()
451 for (int i = 0; i < paddings.length; i++) { in allToKeymaster()
452 result[i] = toKeymaster(paddings[i]); in allToKeymaster()
506 static int[] allToKeymaster(@Nullable @SignaturePaddingEnum String[] paddings) { in allToKeymaster() argument
507 if ((paddings == null) || (paddings.length == 0)) { in allToKeymaster()
510 int[] result = new int[paddings.length]; in allToKeymaster()
511 for (int i = 0; i < paddings.length; i++) { in allToKeymaster()
512 result[i] = toKeymaster(paddings[i]); in allToKeymaster()

123