Shape: Rank in [1,4]
Shape: Rank > 0
Shape: Rank in [1,4]
Shape: Rank > 0
Rank in [1,4]
Value: crops[0] and crops[1] should be equal.
Value: crops[2] and crops[3] should be equal.
Shape: Rank in [3,4]
Param axis only supports default value
Shape: Rank in [1,5]
Value: If any in[0..m] dimension > 16384 and N = 4, then axis > 0
Value: If N = 5, then axis > 0
Value: If N = 5 and axis = 1, only batch = 1 supported
Param reuse_sparse_indices only supports default value
Value: Must be in range [0, rank(in[0]) - 1].
Datatype: QNN_DATATYPE_UINT_32
Value: block_size[0] and block_size[1] should be equal.
Only supports ScaleOffset based quantization encoding type
Shape: Only batch = 1 supported
Shape: num_anchors less than or equal to 2048 in Fast mode
Shape: num_classes less than 256
Shape: num_boxes should be equal to num_anchors
Param share_location only supports default value
Param nms_eta only supports default value
Datatype: INT_32 supported only in broadcast
Shape: Only supports Rank >= 1
Datatype: INT_32 supported only in broadcast
Shape: Only supports Rank >= 1
Datatype: INT_32 supported only in broadcast
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Datatype: Numerical supports: FLOAT_32, FLOAT_16, INT_32. Comparison supports: FLOAT_32, FLOAT_16, INT_32, BOOL_8. Logical supports: UINT_8, BOOL_8
Shape: Only supports Rank >= 1
If datatype is QNN_DATATYPE_UFIXED_POINT_4, then input must be static
Datatype: Numerical supports: FLOAT_32, FLOAT_16, INT_32. Comparison supports: FLOAT_32, FLOAT_16, INT_32, BOOL_8. Logical supports: UINT_8, BOOL_8
Shape: Only supports Rank >= 1
If datatype is QNN_DATATYPE_UFIXED_POINT_4, then input must be static
Datatype: Numerical supports: FLOAT_32, FLOAT_16, INT_32. Comparison supports: UINT_8, BOOL_8. Logical supports: UINT_8, BOOL_8
Shape: Only supports Rank >= 1
Value: FMOD, MOD, and XOR not supported
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
If datatype is QNN_DATATYPE_UFIXED_POINT_4, then input must be static
If datatype is QNN_DATATYPE_UFIXED_POINT_4, then input must be static
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Shape: Only supports Rank >= 1
Datatype: BOOL_8 and UINT_8 data types only supported when operation param is NOT
Datatype: BOOL_8 and UINT_8 data types only supported when operation param is NOT
Value: ASIN, ATAN, RECIPROCAL, and SIGN not supported
Datatype: out[0] must be same Datatype as in[0]
Param keep_dims only supports default value
If datatype is QNN_DATATYPE_UFIXED_POINT_4, then input must be static
Shape: k must be 1,2 or 3
If datatype is QNN_DATATYPE_UFIXED_POINT_4, then input must be static
Shape: k must be 1,2 or 3 and Shape(in[1])[k-1] must be greater than 0 and less than or equal to (n - batch_dims)
Value: Indices cannot be out of range of in[0]
Value: batch_dims must be less than min(n, k)
Shape: Shape(in[0])[:batch_dims] must equal Shape(in[1])[:batch_dims]
Shape: Input rank must be 4
Shape: Input rank must be 4
Datatype: Same Datatype as in[0]
Shape: Output rank must be 4
Datatype: Same Datatype as in[0]
Supports rank in [3,4]
Shape: Only square heat maps supported
Supports rank in [3,4]
Value: Only supports mode MU_SIGMA
Value: Only supports region ACROSS_SPATIAL
Param normalize_variance only supports default value
Shape: Only supports input of shape [1]
Shape: Only supports input of Rank = 1
Shape: Dimension must be equal to norm axis dimension of in[0]
Shape: Only supports input of Rank = 1
Shape: Dimension must be equal to norm axis dimension of in[0]
Value: Only support value of N-1
Shape: Input rank must be 2.
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
input must be static
cell to input weights not supported
cell to forget weights not supported
cell to output weights not supported
input must be static
input must be static
input must be static
reset only supports default
Only support default value 0.0f
Only support default value 0.0f
Only support default value 0.0f
Only support default value 0.0f
Only support default value 0.0f
Only support default value 0.0f
Not applicable for 2D input and is ignored.
Param direction only supports default value
Dynamic Shape: Dynamic dims not supported.
Shape: Batch dimensions (outermost N-2) if not equal to that of in[0], should = 1 or shouldn’t exist
Dynamic Shape: Dynamic dims not supported.
Dynamic Shape: Dynamic dims not supported.
Shape: Rank must be equal to max(rank(in[0]), rank(in[1])) i.e after batch broadcasting
Shape: Batch dimensions should be broadcasted from in[0], in[1]
Dynamic Shape: Dynamic dims not supported.
Value: Must be false
Shape: N less than or equal to 3
Value: In range [0, rank(in[0])-1] for m == 1
Value: In range [max(0,rank(in[0])-2), rank(in[0])-1] for m >= 2
Value: MIRROR_SYMMETRIC can only be used when rank(in[0]) is 4
Value: MIRROR_SYMMETRIC can only be used with H or W dimensions
Value: MIRROR_REFLECT can only be used when rank(in[0]) is 4
Value: EDGE can only be used when rank(in[0]) is less than or equal to 4
Datatype: QNN_DATATYPE_FLOAT_32
Param rounding_mode only supports default value
Param rounding_mode only supports default value
Shape: N >= 1
Shape: M >= 1
Shape: N less than or equal to 4
Value: Reduction across batch supported only when rank(axes) == 1
Shape: N less than or equal to 4
Value: Reduction across batch supported only when rank(axes) == 1
Shape: N less than or equal to 4
Value: Reduction across batch supported only when rank(axes) == 1
Shape: N less than or equal to 4
Value: Reduction across batch supported only when rank(axes) == 1
Shape: N less than or equal to 4
Value: Reduction across batch supported only when rank(axes) == 1
Shape: Only supports Rank >= 1
Dynamic Shape: Dynamic dims not supported.
This input is not supported.
Shape: Only supports Rank >= 1
Dynamic Shape: Dynamic dims not supported.
Shape: dim of in0[1] and in0[2] must be > 1 if interpolation_mode is 1
Shape: dim of out0[1] and out0[2] must be > 1
Unsupported
Shape: dim of out0[1] and out0[2] must be > 1
Param antialias only supports default value
Shape: dim of out0[1] and out0[2] must be > 1
Shape: Only supports input of Rank in range [1, 4]
Shape: Only supports input of Rank = 1
Shape: Dimension must be equal to norm axis dimension of in[0]
Shape: Only supports input of Rank = 1
Shape: Dimension must be equal to norm axis dimension of in[0]
Value: Value should be in range [0, Rank-1]
Param aligned only supports default value
Param allow_invalid_roi only supports default value
Shape: Rank in [1,4]
Value: If N=4, then axis > 0.
Param axis only supports default value
Value: pad_amount[0] and pad_amount[1] should be equal.
Value: pad_amount[2] and pad_amount[3] should be equal.
Value: block_size[0] and block_size[1] should be equal.
Param mode only supports default value
Value: Should not be 1 for N = 5 and should be > N-4 for N > 5
Shape: Rank must be 5 or less
Value: No support for slicing across batch dimensions > 4, the slice ranges specified must align
Param new_axes_mask only supports default value
Value: For N > 3, multiples[0…N-4] should be 1
Param largest only supports default value
Shape: Rank must be 2, 3, 4, or 5
Param group only supports default value
Shape: Rank must be 2, 3, or 4