| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | avg_pool_v1_2.model.cpp | 4395 OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); in CreateModel_zero_sized_nhwc_float16() local
4844 OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); in CreateModel_zero_sized_nchw_float16() local
5296 OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); in CreateModel_zero_sized_dynamic_output_shape_nhwc_float16() local
5745 OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); in CreateModel_zero_sized_dynamic_output_shape_nchw_float16() local
6165 OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); in CreateModel_zero_sized_nhwc_float16_2() local
6574 OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); in CreateModel_zero_sized_nchw_float16_2() local
6989 OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); in CreateModel_zero_sized_dynamic_output_shape_nhwc_float16_2() local
7402 OperandType type66(Type::TENSOR_FLOAT16, {1, 1, 1, 1}); in CreateModel_zero_sized_dynamic_output_shape_nchw_float16_2() local
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| D | depthwise_conv2d_v1_2.model.cpp | 5781 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 2.0f, 128); in CreateModel_large_dynamic_output_shape_nhwc_quant8() local
5838 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 2.0f, 128); in CreateModel_large_dynamic_output_shape_nhwc_channelQuant8() local
6053 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 2.0f, 128); in CreateModel_large_dynamic_output_shape_nhwc_weight_as_input_quant8() local
6106 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 2.0f, 128); in CreateModel_large_dynamic_output_shape_nhwc_weight_as_input_channelQuant8() local
6329 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 2.0f, 128); in CreateModel_large_dynamic_output_shape_nchw_quant8() local
6386 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 2.0f, 128); in CreateModel_large_dynamic_output_shape_nchw_channelQuant8() local
6601 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 2.0f, 128); in CreateModel_large_dynamic_output_shape_nchw_weight_as_input_quant8() local
6654 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 2.0f, 128); in CreateModel_large_dynamic_output_shape_nchw_weight_as_input_channelQuant8() local
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| D | max_pool_v1_2.model.cpp | 3899 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); in CreateModel_zero_sized_nchw_quant8() local
4798 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); in CreateModel_zero_sized_dynamic_output_shape_nchw_quant8() local
5638 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); in CreateModel_zero_sized_nchw_quant8_2() local
6464 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 1, 2, 2}, 0.1f, 128); in CreateModel_zero_sized_dynamic_output_shape_nchw_quant8_2() local
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| D | roi_align.model.cpp | 2738 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {5, 1, 2, 2}, 0.0625f, 128); in CreateModel_nchw_quant8_4() local
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| D | softmax_v1_2.model.cpp | 10343 OperandType type66(Type::TENSOR_QUANT8_ASYMM, {0, 2, 2, 1}, 0.00390625f, 0); in CreateModel_zero_sized_quant8() local
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| D | grouped_conv2d.model.cpp | 6701 …OperandType type66(Type::TENSOR_QUANT8_SYMM_PER_CHANNEL, {2, 2, 2, 1}, 0.0f, 0, SymmPerChannelQuan… in CreateModel_dynamic_output_shape_nhwc_none_channelQuant8_weight_as_input() local
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