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/hardware/interfaces/neuralnetworks/1.1/
Dtypes.hal39 * Supported tensor {@link OperandType}:
43 * Supported tensor rank: 4, with "NHWC" (i.e., Num_samples, Height, Width,
47 * * 0: An n-D tensor, specifying the tensor to be reshaped
49 * sizes for each spatial dimension of the input tensor. All values
53 * * 0: A tensor of the same {@link OperandType} as input0.
54 * For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
63 * dimensions. The output is the result of dividing the first input tensor
79 * Supported tensor {@link OperandType}:
82 * Supported tensor rank: up to 4
85 * * 0: An n-D tensor, specifying the first input.
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/hardware/interfaces/neuralnetworks/1.2/
Dtypes.hal49 * A tensor of 16 bit signed integers that represent real numbers.
51 * Attached to this tensor is a number representing real value scale that is
59 * A tensor of IEEE 754 16 bit floating point values.
63 * A tensor of 8 bit boolean values.
74 * A tensor of 8 bit signed integers that represent real numbers.
76 * This tensor is associated with additional fields that can
84 * The channel dimension of this tensor must not be unknown (dimensions[channelDim] != 0).
93 * A tensor of 16 bit unsigned integers that represent real numbers.
95 * Attached to this tensor are two numbers that can be used to convert the
105 * A tensor of 8 bit signed integers that represent real numbers.
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Dtypes.t207 * A tensor operand with all dimensions specified has "fully
209 * dimensions are known at model construction time), a tensor
214 * If a tensor operand's dimensions are not fully specified, the
219 * In the following situations, a tensor operand's dimensions must
234 * A tensor operand with some number of unspecified dimensions is
237 * A tensor operand with unspecified rank is represented by providing
712 * Indicates whether the extension operand type represents a tensor or
719 * tensor).
DIPreparedModel.hal57 * If the prepared model was prepared from a model wherein all tensor
109 * If the prepared model was prepared from a model wherein all tensor
152 * If the prepared model was prepared from a model wherein all tensor
DIDevice.hal133 * and transformed tensor buffers. Any modification to the data cache should
/hardware/interfaces/neuralnetworks/1.3/
Dtypes.hal33 * A tensor of 8 bit signed integers that represent real numbers.
35 * Attached to this tensor are two numbers that can be used to convert the
63 * A tensor of OEM specific values.
114 * Since HAL version 1.2, generic zero-sized input tensor is supported. Zero
118 * Supported tensor {@link OperandType}:
125 * Supported tensor rank: up to 4
128 * * 0: A tensor.
129 * * 1: A tensor of the same {@link OperandType}, and compatible dimensions
132 * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
137 * For a {@link OperandType::TENSOR_INT32} tensor,
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Dtypes.t257 * A tensor operand with all dimensions specified has "fully
259 * dimensions are known at model construction time), a tensor
264 * If a tensor operand's dimensions are not fully specified, the
271 * In the following situations, a tensor operand's dimensions must
286 * A tensor operand with some number of unspecified dimensions is
289 * A tensor operand with unspecified rank is represented by providing
DIPreparedModel.hal62 * If the prepared model was prepared from a model wherein all tensor
140 * If the prepared model was prepared from a model wherein all tensor
/hardware/interfaces/neuralnetworks/1.0/
Dtypes.hal24 * Types prefaced with TENSOR_* must be used for tensor data (i.e., tensors
40 /** A tensor of 32 bit floating point values. */
42 /** A tensor of 32 bit integer values. */
45 * A tensor of 8 bit unsigned integers that represent real numbers.
47 * Attached to this tensor are two numbers that can be used to convert the
69 * A tensor of OEM specific values.
101 * Supported tensor {@link OperandType}:
105 * Supported tensor rank: up to 4
108 * * 0: A tensor.
109 * * 1: A tensor of the same {@link OperandType}, and compatible dimensions
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Dtypes.t37 * A tensor of OEM specific values.
192 * For a tensor operand, dimensions.size() must be at least 1;
195 * A tensor operand with all dimensions specified has "fully
197 * dimensions are known at model construction time), a tensor
202 * If a tensor operand's dimensions are not fully specified, the
207 * In the following situations, a tensor operand's dimensions must
222 * A tensor operand with some number of unspecified dimensions is
DIPreparedModel.hal52 * If the prepared model was prepared from a model wherein all tensor
/hardware/qcom/neuralnetworks/hvxservice/1.0/
DHexagonModel.cpp158 hexagon_nn_input& tensor = mOperands[operand].hexagon_input; in getTensor() local
159 if (tensor == hexagon_nn_input{}) { in getTensor()
160 tensor = addOperand(operand); in getTensor()
162 return tensor; in getTensor()