| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| strided_slice_qaunt8_11.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{2}", [0, 0]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
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| strided_slice_quant8_1.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
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| strided_slice_quant8_2.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{1}", [-3]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
|
| strided_slice_quant8_3.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{1}", [-5]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
|
| strided_slice_quant8_4.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
|
| strided_slice_quant8_5.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
|
| strided_slice_quant8_6.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
|
| strided_slice_quant8_7.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{1}", [-1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
|
| strided_slice_quant8_8.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{2}", [1, -1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
|
| strided_slice_quant8_9.mod.py | 3 begins = Parameter("begins", "TENSOR_INT32", "{2}", [1, 0]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
|
| strided_slice_relaxed.mod.py | 19 begins = Parameter("begins", "TENSOR_INT32", "{2}", [0, 0]) variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
|
| /external/llvm/utils/abtest/ |
| mark_aarch64fns.py | 20 begins = dict() variable
48 begins[begin] = triple
61 triple = begins.get(linenum)
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| strided_slice.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_1.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_10.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_10_relaxed.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_11.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_11_relaxed.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_1_relaxed.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_2.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_2_relaxed.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_3.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_3_relaxed.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_4.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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| strided_slice_float_4_relaxed.model.cpp | 9 auto begins = model->addOperand(&type1); local
18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
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