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/frameworks/ml/nn/runtime/test/specs/V1_3/
Dpad_quant8_signed.mod.py20 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [1, 2, variable
26 model = Model().Operation("PAD", input0, paddings).To(output0)
48 paddings = Parameter("paddings", "TENSOR_INT32", "{1, 2}", [3, 1]) variable
51 model = Model().Operation("PAD", input0, paddings).To(output0)
61 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable
67 model = Model().Operation("PAD", input0, paddings).To(output0)
84 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable
90 model = Model().Operation("PAD", input0, paddings).To(output0)
104 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable
111 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
[all …]
Dspace_to_batch_quant8_signed.mod.py20 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)
50 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 0, 2, 0]) variable
53 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
78 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 1, 2, 4]) variable
81 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
110 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 0, 2, 0]) variable
113 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
/frameworks/base/keystore/java/android/security/keystore/
DKeyProperties.java467 public static int[] allToKeymaster(@Nullable @EncryptionPaddingEnum String[] paddings) { in allToKeymaster() argument
468 if ((paddings == null) || (paddings.length == 0)) { in allToKeymaster()
471 int[] result = new int[paddings.length]; in allToKeymaster()
472 for (int i = 0; i < paddings.length; i++) { in allToKeymaster()
473 result[i] = toKeymaster(paddings[i]); in allToKeymaster()
527 static int[] allToKeymaster(@Nullable @SignaturePaddingEnum String[] paddings) { in allToKeymaster() argument
528 if ((paddings == null) || (paddings.length == 0)) { in allToKeymaster()
531 int[] result = new int[paddings.length]; in allToKeymaster()
532 for (int i = 0; i < paddings.length; i++) { in allToKeymaster()
533 result[i] = toKeymaster(paddings[i]); in allToKeymaster()
/frameworks/ml/nn/runtime/test/specs/V1_2/
Dpad_quant8_nonzero.mod.py21 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable
27 model = Model().Operation("PAD", input0, paddings).To(output0)
Dpad_quant8.mod.py18 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable
24 model = Model().IntroducedIn("V1_1").Operation("PAD", input0, paddings).To(output0)
Dpad_low_rank_quant8.mod.py18 paddings = Parameter("paddings", "TENSOR_INT32", "{1, 2}", [3, 1]) variable
21 model = Model().IntroducedIn("V1_1").Operation("PAD", input0, paddings).To(output0)
Dpad_low_rank.mod.py18 paddings = Parameter("paddings", "TENSOR_INT32", "{1, 2}", [3, 1]) variable
21 model = Model().Operation("PAD", input0, paddings).To(output0)
Dpad_v2_low_rank_quant8.mod.py18 paddings = Parameter("paddings", "TENSOR_INT32", "{1, 2}", [3, 1]) variable
22 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
Dpad_v2_1_quant8.mod.py18 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable
25 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
Dpad_v2_low_rank.mod.py18 paddings = Parameter("paddings", "TENSOR_INT32", "{1, 2}", [3, 1]) variable
22 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
Dpad_v2_1_float.mod.py18 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable
25 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
Dspace_to_batch_quant8_nonzero.mod.py23 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 0, 2, 0]) variable
26 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
Dpad_v2_all_dims_quant8.mod.py20 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [1, 2, variable
27 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
Dpad_v2_all_dims.mod.py20 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [1, 2, variable
27 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dspace_to_batch_float_1.mod.py4 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)
Dspace_to_batch_float_3.mod.py4 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)
Dspace_to_batch.mod.py4 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)
Dspace_to_batch_quant8_1.mod.py4 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)
Dspace_to_batch_quant8_3.mod.py4 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)
Dspace_to_batch_quant8_2.mod.py4 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)
Dspace_to_batch_float_2.mod.py4 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)
Dspace_to_batch_float_3_relaxed.mod.py20 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)
Dspace_to_batch_float_1_relaxed.mod.py20 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)
Dspace_to_batch_relaxed.mod.py20 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)
Dspace_to_batch_float_2_relaxed.mod.py20 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)

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