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/packages/modules/NeuralNetworks/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)
/packages/modules/NeuralNetworks/common/operations/
DReshape.cpp85 bool padGeneric(const T* inputData, const Shape& inputShape, const int32_t* paddings, T padValue, in padGeneric() argument
99 leftPaddings.push_back(paddings[i * 2]); in padGeneric()
100 rightPaddings.push_back(paddings[i * 2 + 1]); in padGeneric()
185 const int32_t* paddings, float padValue, float* outputData,
188 const int32_t* paddings, _Float16 padValue, _Float16* outputData,
191 const int32_t* paddings, uint8_t padValue, uint8_t* outputData,
194 const int32_t* paddings, int8_t padValue, int8_t* outputData,
/packages/modules/NeuralNetworks/common/
DCpuExecutor.cpp1173 const RunTimeOperandInfo& paddings = operands[ins[2]]; in executeOperation() local
1191 blockSize.shape(), reinterpret_cast<const int32_t*>(paddings.buffer), in executeOperation()
1192 paddings.shape(), &outShape) || in executeOperation()
1202 reinterpret_cast<const int32_t*>(paddings.buffer), paddings.shape(), in executeOperation()
1210 reinterpret_cast<const int32_t*>(paddings.buffer), paddings.shape(), in executeOperation()
1218 reinterpret_cast<const int32_t*>(paddings.buffer), paddings.shape(), in executeOperation()
1226 reinterpret_cast<const int32_t*>(paddings.buffer), paddings.shape(), in executeOperation()
1250 const RunTimeOperandInfo& paddings = operands[ins[1]]; in executeOperation() local
1255 if (!padPrepare(input.shape(), reinterpret_cast<const int32_t*>(paddings.buffer), in executeOperation()
1256 paddings.shape(), &outShape) || in executeOperation()
[all …]
/packages/modules/NeuralNetworks/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_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_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_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_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_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)
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)
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)
/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
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.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_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_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_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_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_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_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)

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