/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
D | pad_quant8_signed.mod.py | 20 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 …]
|
D | space_to_batch_quant8_signed.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) 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/ |
D | Reshape.cpp | 85 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/ |
D | CpuExecutor.cpp | 1173 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/ |
D | pad_quant8_nonzero.mod.py | 21 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable 27 model = Model().Operation("PAD", input0, paddings).To(output0)
|
D | pad_low_rank_quant8.mod.py | 18 paddings = Parameter("paddings", "TENSOR_INT32", "{1, 2}", [3, 1]) variable 21 model = Model().IntroducedIn("V1_1").Operation("PAD", input0, paddings).To(output0)
|
D | pad_quant8.mod.py | 18 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable 24 model = Model().IntroducedIn("V1_1").Operation("PAD", input0, paddings).To(output0)
|
D | pad_v2_low_rank_quant8.mod.py | 18 paddings = Parameter("paddings", "TENSOR_INT32", "{1, 2}", [3, 1]) variable 22 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
|
D | pad_v2_1_quant8.mod.py | 18 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable 25 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
|
D | pad_low_rank.mod.py | 18 paddings = Parameter("paddings", "TENSOR_INT32", "{1, 2}", [3, 1]) variable 21 model = Model().Operation("PAD", input0, paddings).To(output0)
|
D | pad_v2_1_float.mod.py | 18 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [0, 0, variable 25 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
|
D | pad_v2_low_rank.mod.py | 18 paddings = Parameter("paddings", "TENSOR_INT32", "{1, 2}", [3, 1]) variable 22 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
|
D | space_to_batch_quant8_nonzero.mod.py | 23 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)
|
D | pad_v2_all_dims_quant8.mod.py | 20 paddings = Parameter("paddings", "TENSOR_INT32", "{4, 2}", [1, 2, variable 27 model = Model().Operation("PAD_V2", input0, paddings, pad_value).To(output0)
|
D | pad_v2_all_dims.mod.py | 20 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/ |
D | 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)
|
D | 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)
|
D | 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)
|
D | 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)
|
D | 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)
|
D | 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)
|
D | 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)
|
D | 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)
|
D | 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)
|
D | 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)
|