| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | tile_2.model.cpp | 9 auto multipliers = model->addOperand(&type1); in CreateModel() local
12 model->addOperation(ANEURALNETWORKS_TILE, {input0, multipliers}, {output0}); in CreateModel()
15 {input0, multipliers}, in CreateModel()
31 auto multipliers = model->addOperand(&type1); in CreateModel_relaxed() local
34 model->addOperation(ANEURALNETWORKS_TILE, {input0, multipliers}, {output0}); in CreateModel_relaxed()
37 {input0, multipliers}, in CreateModel_relaxed()
55 auto multipliers = model->addOperand(&type1); in CreateModel_float16() local
58 model->addOperation(ANEURALNETWORKS_TILE, {input0, multipliers}, {output0}); in CreateModel_float16()
61 {input0, multipliers}, in CreateModel_float16()
77 auto multipliers = model->addOperand(&type1); in CreateModel_quant8() local
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| D | tile_3.model.cpp | 9 auto multipliers = model->addOperand(&type1); in CreateModel() local
12 model->addOperation(ANEURALNETWORKS_TILE, {input0, multipliers}, {output0}); in CreateModel()
15 {input0, multipliers}, in CreateModel()
31 auto multipliers = model->addOperand(&type1); in CreateModel_relaxed() local
34 model->addOperation(ANEURALNETWORKS_TILE, {input0, multipliers}, {output0}); in CreateModel_relaxed()
37 {input0, multipliers}, in CreateModel_relaxed()
55 auto multipliers = model->addOperand(&type1); in CreateModel_float16() local
58 model->addOperation(ANEURALNETWORKS_TILE, {input0, multipliers}, {output0}); in CreateModel_float16()
61 {input0, multipliers}, in CreateModel_float16()
77 auto multipliers = model->addOperand(&type1); in CreateModel_quant8() local
[all …]
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| D | tile_1.model.cpp | 9 auto multipliers = model->addOperand(&type1); in CreateModel() local
12 model->addOperation(ANEURALNETWORKS_TILE, {input0, multipliers}, {output0}); in CreateModel()
15 {input0, multipliers}, in CreateModel()
31 auto multipliers = model->addOperand(&type1); in CreateModel_relaxed() local
34 model->addOperation(ANEURALNETWORKS_TILE, {input0, multipliers}, {output0}); in CreateModel_relaxed()
37 {input0, multipliers}, in CreateModel_relaxed()
55 auto multipliers = model->addOperand(&type1); in CreateModel_float16() local
58 model->addOperation(ANEURALNETWORKS_TILE, {input0, multipliers}, {output0}); in CreateModel_float16()
61 {input0, multipliers}, in CreateModel_float16()
77 auto multipliers = model->addOperand(&type1); in CreateModel_quant8() local
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| /frameworks/ml/nn/common/operations/ |
| D | Tile.cpp | 40 const M* multipliers, T* out_data, int dimension) { in TileOneDimension() argument
43 CopyMultipleTimes(in_data, dimension_size, multipliers[dimension], out_data); in TileOneDimension()
45 dimension_size * static_cast<int>(multipliers[dimension])); in TileOneDimension()
53 input_shape, copy_from_data, multipliers, copy_to_data, dimension + 1); in TileOneDimension()
59 CopyMultipleTimes(out_data, total_tiled_stride_size, multipliers[dimension] - 1, in TileOneDimension()
61 return std::make_pair(total_stride_size, total_tiled_stride_size * multipliers[dimension]); in TileOneDimension()
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| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | tile_1.mod.py | 18 multipliers = Input("multipliers", "TENSOR_INT32", "{1}") variable
21 model = Model().Operation("TILE", input0, multipliers).To(output0)
39 multipliers: multiplier_values,
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| D | tile_3.mod.py | 18 multipliers = Input("multipliers", "TENSOR_INT32", "{3}") variable
21 model = Model().Operation("TILE", input0, multipliers).To(output0)
48 multipliers: multiplier_values,
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| D | tile_2.mod.py | 18 multipliers = Input("multipliers", "TENSOR_INT32", "{2}") variable
21 model = Model().Operation("TILE", input0, multipliers).To(output0)
48 multipliers: multiplier_values,
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| /frameworks/base/config/ |
| D | hiddenapi-greylist-max-o.txt | 27905 Landroid/icu/impl/number/CompactData;->multipliers:[B
|