1486 lines
40 KiB
Plaintext
1486 lines
40 KiB
Plaintext
#-------------------------------------------------------------------------------
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#
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# Inference Engine all plugins excludes
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#
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#-------------------------------------------------------------------------------
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#-------------------------------------------------------------------------------
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#
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# nGraph ONNX C++ Importer unit tests
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#
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#-------------------------------------------------------------------------------
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# Quantize layer input 'Multiply_7' doesn't have blobs
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onnx_model_quantize_linear
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onnx_model_quantize_linear_zero_point
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onnx_model_quantize_linear_axis_zero
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onnx_model_quantize_linear_axis_negative
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# DequantizeLinear:
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# C++ exception with description "Unsupported precisions!
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IE_CPU.onnx_model_dequantize_linear_scalar_zero_scale_int8
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IE_CPU.onnx_model_dequantize_linear_1d_zero_scale_int8
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# C++ exception with description "Input data precision not supported. Expected float.
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IE_CPU.onnx_model_dequantize_linear_1d_zero_scale_int8_4d
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# Not supported ONNX op: QuantizedConvolution
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onnx_model_conv_integer
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onnx_model_conv_integer_zero_point_zero
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onnx_model_conv_integer_no_zero_point
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onnx_model_conv_integer_pads
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# Unsupported operator detected in the graph: QuantizedDot
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onnx_model_matmul_integer
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onnx_model_matmul_integer_zero_point_zero
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onnx_model_matmul_integer_no_zero_point
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onnx_model_matmul_integer_scalar
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onnx_model_matmul_integer_4d
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onnx_model_matmul_integer_4d_zero_point
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onnx_model_matmul_integer_4d_no_zero_point
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onnx_model_qlinear_matmul
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onnx_model_qlinear_matmul_3d
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# Not supported ONNX op: GatherND
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onnx_model_gatherND_int32
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onnx_model_gatherND_float
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# Round op doesn't support some specific cases of rounding
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onnx_model_round_half_nearest_even
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# Result mismatch
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onnx_model_split_equal_parts_default
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onnx_model_argmin_no_keepdims
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onnx_model_softmax
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onnx_model_elu
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onnx_model_top_k
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onnx_model_erf
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onnx_model_addmul_abc
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IE_CPU.interpolate_down_scales_const_linear
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# data [<name>] doesn't exist
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onnx_model_sum_one_input
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onnx_model_shape
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onnx_model_eye_like
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convert_float32_bool
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broadcast_trivial
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aliased_output
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bool_init_raw
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bool_const_op
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onnx_model_tile
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onnx_model_tile_static
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onnx_model_softmax_0D
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builder_opset1_collapse_none
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# nGraph function's output number 0 was not found in the CNNNetwork built from it.
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onnx_model_split_equal_parts_2d
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onnx_model_split_variable_parts_2d
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onnx_top_k_opset_10_const_k
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onnx_top_k_opset_11_const_k_smallest
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# [NOT_IMPLEMENTED] Input image format BOOL is not supported yet...
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bool_input_or
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# Layer <name> input port 1 is not connected to any data
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onnx_model_conv_transpose_w_groups
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#Incorrect number of inputs
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onnx_model_prelu
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# [NOT_IMPLEMENTED] Input image format I64 is not supported yet...
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onnx_model_global_lp_pool_p0
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onnx_model_mod
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onnx_model_constant_of_shape_float_zeros
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onnx_model_constant_of_shape_int_ones
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ab_plus_c_inference
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dynamic_rank_input_inference
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expand_1_dyn_shape
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expand_2_dyn_shape
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expand_3_dyn_shape
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expand_4_dyn_shape
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expand_5_dyn_shape
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expand_6_dyn_shape
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expand_uint16_dyn_shape
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minimum_int64
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floor_int64
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ceiling_int64
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matmul_2x2x3_2x3x1_int64
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matmul_2x2x3_2x1x3_transpose_int64
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onnx_dyn_shapes_slice_10_3d_input_12_axes
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IE_CPU.fused_clamp_int64
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IE_CPU.onnx_dyn_shapes_slice_10_default_axes
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onnx_dyn_shapes_ab_plus_c_inference
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onnx_dyn_shapes_dynamic_rank_input_inference
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onnx_dyn_shapes_model_conv_with_dynamic_batch
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onnx_dyn_shapes_expand_1_dyn_shape
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onnx_dyn_shapes_expand_2_dyn_shape
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onnx_dyn_shapes_expand_3_dyn_shape
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onnx_dyn_shapes_expand_4_dyn_shape
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onnx_dyn_shapes_expand_5_dyn_shape
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onnx_dyn_shapes_expand_6_dyn_shape
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onnx_dyn_shapes_expand_uint16_dyn_shape
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onnx_dyn_shapes_model_global_lp_dynamic_hw
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onnx_dyn_shapes_slice_10_2d_input
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onnx_dyn_shapes_slice_10_default_steps
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onnx_dyn_shapes_slice_10_slice_2d_default_steps_dyn_begin_end
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onnx_dyn_shapes_slice_10_clamp_neg_ends
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onnx_dyn_shapes_slice_10_3d_input
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onnx_dyn_shapes_slice_10_3d_input_neg_axes
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onnx_dyn_shapes_slice_10_3d_input_20_axes
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onnx_dyn_shapes_slice_10_4d_input_23_axes
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onnx_dyn_shapes_slice_10_4d_input_0231_axes_ends_max
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onnx_dyn_shapes_slice_10_4d_input_2103_axes_ends_max
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onnx_dyn_shapes_slice_10_4d_input_23_axes_21_steps
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onnx_dyn_shapes_slice_10_3d_input_12_axes
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onnx_top_k_opset_10
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onnx_model_one_hot_without_axis
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onnx_model_scatterND_param_i64_indices
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# [NOT_IMPLEMENTED] Input image format U64 is not supported yet...
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IE_CPU.fused_clamp_uint64
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# TopK Incorrect input data/index values precision
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onnx_model_argmax_int32
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onnx_model_argmin_int32
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arg_max_dyn_shape
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# Result mismatch
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onnx_model_argmax_float
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onnx_model_argmin_float
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# Constant has zero dimension that is not allowable
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onnx_dyn_shapes_transpose
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# Select layer with name 'y' has 'Mask' input's rank more than broadcasted 'Then' and 'Else' inputs' ranks
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onnx_model_where
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# y Incorrect input precision. Only FP32 is supported!
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onnx_model_erf_int32
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# Could not eliminate all Dyn nodes
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onnx_model_conv_with_dynamic_batch
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# Segmentation fault
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bool_init_and
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onnx_model_fake_quantize_nonconst_inputs_infer
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onnx_model_quantize_linear_const_scale_const_zero_p
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# Incorrect number of 'indices_to_squeeze' input dimensions!
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arg_min_no_keep_dims_dyn_shape
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onnx_model_one_hot_with_axis
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# Dynamic function 'get_shape was called on a descriptor::Tensor with dynamic shape'
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# onnx_upsample9_scales_input_nearest_infer
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fused_clamp_uint16
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fused_clamp_uint8
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fused_clamp_int32
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fused_clamp_int8
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fused_clamp_float
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fused_clamp_int16
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onnx_dyn_shapes_model_acosh_1_3
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onnx_dyn_shapes_model_acosh_3_2
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onnx_dyn_shapes_model_asinh_1_3
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onnx_dyn_shapes_model_asinh_3_2
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onnx_dyn_shapes_model_atanh_1_3
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onnx_dyn_shapes_model_atanh_3_2
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onnx_dyn_shapes_avg_pool_dyn_shape
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onnx_dyn_shapes_max_pool_dyn_shape
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onnx_dyn_shapes_global_avg_pool_dyn_shape
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onnx_dyn_shapes_global_max_pool_dyn_shape
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onnx_dyn_shapes_model_flatten
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onnx_model_instance_normalization_dyn_shape
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onnx_model_instance_normalization_dyn_shape2
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onnx_dyn_shapes_arg_max_dyn_shape
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onnx_dyn_shapes_arg_min_no_keep_dims_dyn_shape
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onnx_dyn_shapes_model_tile
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onnx_dyn_shapes_model_convtranspose_dyn_data
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onnx_dyn_shapes_model_convtranspose_dyn_filters
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onnx_dyn_shapes_flatten_axis_0
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onnx_dyn_shapes_flatten_axis
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onnx_dyn_shapes_flatten_neg_axis
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onnx_model_range_positive_step
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onnx_model_range_negative_step
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onnx_dyn_shapes_slice_1_3d_input_21_axes_ends_max
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# LSTMSequence Layer is not instance of RNNLayer class
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# (Constant W, B, R inputs are required)
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onnx_model_lstm_fwd_with_clip_peepholes
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onnx_model_lstm_fwd_mixed_seq
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onnx_model_lstm_fwd_hardsigmoid_activation
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onnx_model_lstm_fwd_large_batch_no_clip
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onnx_model_lstm_bdir_short_input_seq_peepholes
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onnx_model_lstm_mixed_seq_reverse
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# GRUCell/GRUSequence operation has a form that is not supported
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# (Constant W, B, R inputs are required)
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IE_CPU.onnx_model_gru_defaults_fwd
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IE_CPU.onnx_model_gru_fwd_activations
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IE_CPU.onnx_model_gru_fwd_mixed_seq_len
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IE_CPU.onnx_model_gru_rev_clip
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IE_CPU.onnx_model_gru_reverse
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IE_CPU.onnx_model_gru_fwd_bias_initial_h
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IE_CPU.onnx_model_gru_bidirectional
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IE_CPU.onnx_model_gru_fwd_linear_before_reset
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# RNNCell/RNNSequence operation has a form that is not supported
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# (Constant W, B, R inputs are required)
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IE_CPU.onnx_model_rnn_defaults_fwd
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IE_CPU.onnx_model_rnn_fwd_activations
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IE_CPU.onnx_model_rnn_fwd_mixed_seq_len
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IE_CPU.onnx_model_rnn_rev_clip
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IE_CPU.onnx_model_rnn_reverse
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IE_CPU.onnx_model_rnn_fwd_bias_initial_h
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IE_CPU.onnx_model_rnn_bidirectional
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## RNN/GRU/LSTM Sequence: Output values mismatch - seq_lengths not supported
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IE_CPU.onnx_model_lstm_fwd_mixed_seq_const
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IE_CPU.onnx_model_lstm_reverse_mixed_seq_const
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IE_CPU.onnx_model_rnn_fwd_mixed_seq_len
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IE_CPU.onnx_model_rnn_fwd_mixed_seq_len_const
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IE_CPU.onnx_model_gru_fwd_mixed_seq_len
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IE_CPU.onnx_model_gru_fwd_mixed_seq_len_const
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#-------------------------------------------------------------------------------
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#
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# nGraph backend unit tests
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#
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#-------------------------------------------------------------------------------
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# Segmentation fault
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shape_of_vector
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shape_of_matrix
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shape_of_5d
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numeric_float_nan
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numeric_float_inf
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numeric_double_nan
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numeric_double_inf
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fake_quantize
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fake_quantize_with_clip
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fake_quantize_with_clip_across_channels
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fake_quantize_pdpd
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# <op name> has zero dimension that is not allowable
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zero_sized_abs
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zero_sized_ceiling
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zero_sized_erf
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zero_sized_exp
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zero_sized_floor
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zero_sized_log
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zero_sized_negative
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zero_sized_not
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zero_sized_sign
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zero_sized_sqrt
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zero_sized_sin
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zero_sized_sinh
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zero_sized_cos
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zero_sized_cosh
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zero_sized_tan
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zero_sized_tanh
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zero_sized_asin
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zero_sized_acos
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zero_sized_atan
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zero_sized_add
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zero_sized_divide
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zero_sized_eq
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zero_sized_greater
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zero_sized_greatereq
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zero_sized_less
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zero_sized_lesseq
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zero_sized_maximum
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zero_sized_minimum
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zero_sized_multiply
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zero_sized_not_equal
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zero_sized_power
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zero_sized_subtract
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sum_trivial
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sum_trivial_5d
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sum_matrix_rows_zero
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sum_matrix_cols_zero
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sum_vector_zero
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sum_matrix_to_scalar_zero_by_zero
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sum_3d_eliminate_zero_dim
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sum_3d_eliminate_zero_dim_int32
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sum_dynamic
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slice_scalar
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slice_3d_start_just_oob
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shape_of_scalar
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reverse_0d
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reverse_1d_nochange
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reverse_2d_nochange
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reverse_3d_nochange
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product_trivial
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product_trivial_5d
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product_matrix_rows_zero
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product_matrix_cols_zero
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product_vector_zero
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product_matrix_to_scalar_zero_by_zero
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product_3d_eliminate_zero_dim
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pad_exterior_2d_0x0
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pad_exterior_2d_0x3
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pad_exterior_2d_3x0
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min_trivial
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min_trivial_5d
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min_trivial_5d_int32
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min_matrix_rows_zero
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min_matrix_cols_zero
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min_vector_zero
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min_matrix_to_scalar_zero_by_zero
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min_3d_eliminate_zero_dim
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max_trivial
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max_trivial_int8
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max_trivial_5d
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max_trivial_5d_int32
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max_matrix_rows_zero
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max_matrix_rows_zero_int32
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max_matrix_cols_zero
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max_vector_zero
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max_matrix_to_scalar_zero_by_zero
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max_3d_eliminate_zero_dim
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lrn_across_empty
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lrn_2d_across_empty
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normalize_across_empty_axes_input
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normalize_l2_all_mode_add
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normalize_l2_none_mode_add
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normalize_l2_zero_mode_add
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normalize_l2_all_mode_max
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normalize_l2_none_mode_max
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normalize_l2_zero_mode_max
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squeeze_default_axes
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dynamic_abc
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broadcast_v1
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dot_0_0
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dot_matrix_2x0_0x2
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dot_matrix_0x2_2x0
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dot_matrix_3x2_2x0
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dot_scalar_0x2
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dot_2x0_0
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concat_zero_length_1d_last
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concat_zero_length_1d_middle
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concat_zero_zero
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concat_zero_length_4d_middle
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broadcast_scalar_vector
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broadcast_scalar_matrix
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broadcast_scalar_tensor
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broadcast_algo_scalar
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any_trivial
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any_2x0_to_scalar
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all_trivial
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all_2x0_to_scalar
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all_dynamic
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reduce_sum_keep_dynamic
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reduce_sum_keep_stable_simple_double
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reduce_sum_keep_stable_acc_double
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reduce_sum_keep_stable_acc
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reduce_sum_keep_3d_eliminate_zero_dim
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reduce_sum_keep_vector_zero
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reduce_sum_keep_matrix_rows_zero
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reduce_sum_dynamic
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reduce_sum_3d_eliminate_zero_dim_int32
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reduce_sum_keep_3d_eliminate_zero_dim_int32
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reduce_sum_keep_trivial_in_double
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reduce_sum_3d_eliminate_zero_dim
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reduce_sum_matrix_to_scalar_zero_by_zero
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reduce_sum_vector_zero
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reduce_sum_matrix_cols_zero
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reduce_sum_matrix_rows_zero
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reduce_sum_keep_matrix_to_scalar_zero_by_zero
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reduce_sum_keep_matrix_cols_zero
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reduce_product_matrix_columns
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# accuracy
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reduce_sum_keep_stable_acc
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reduce_sum_keep_2d_to_scalar_int8
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reduce_sum_keep_3d_to_scalar_int32
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reduce_sum_keep_large_1d_to_scalar
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reduce_sum_stable_simple_double
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reduce_sum_stable_acc_double
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reduce_sum_stable_acc
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reduce_sum_trivial_in_double
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reduce_sum_2d_to_scalar_int8
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reduce_sum_3d_to_scalar_int32
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reduce_sum_large_1d_to_scalar
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# Doesn't throw expected exception type.
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unhandled_op
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# Cannot cast ngraph node Reshape_158305 to CNNLayer
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transpose
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slice_matrix_axis_0_in_place_with_reshape
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reshape_t2v_012
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reshape_t2s_012
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reshape_t2s_120
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reshape_s2t
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reshape_s2t1
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reshape_v2m_col
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reshape_v2m_row
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reshape_v2t_middle
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reshape_m2m_same
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reshape_m2m_transpose
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reshape_m2m_dim_change_transpose
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reshape_3d_transpose_021
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reshape_3d_transpose_210
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reshape_3d_transpose_201
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reshape_3d_transpose_102
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reshape_3d_transpose_120
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reshape_4d_transpose
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reshape_4d_no_transpose
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reshape_transposed_shape_change
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reshape_6d
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reshape_shufflenet_5d
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dyn_group_convolution_backprop_data
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group_conv
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group_conv_striding
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group_conv_window_dilation
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group_conv_padding
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group_conv_padding_and_window_dilation
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group_conv_input_shape_variation
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group_conv_input_data_variation
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dynamic_to_vector
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dynamic_reverse_shape
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# Error of validate layer: Tile_1082 with type: Tile. Layer is not instance of TileLayer class
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tile_3d_small_data_rank
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tile_3d_few_repeats
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# Error of validate layer: MatMul_683292 with type: Gemm. Gemm input shapes must have at least 2 dimensions
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matmul_2_2
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# Result mismatch
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sum_large_1d_to_scalar
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sum_stable_acc
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max_pool_3d
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avg_pool_2d_2channel_2image_padded_only_above_include_in_computation
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avg_pool_3d_uneven_strided_padded
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multiple_result
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lrn_across_hw
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lrn_across_all_dims
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elu
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elu_negative_alpha
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max_pool_2d_1channel_1image_overpadded
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normalize_across_chw_4d_max_bias
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grn_2d_with_bias
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erf
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divide_adjoint_stability
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equal
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notequal
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greater
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greatereq
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less
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|
lesseq
|
|
sum_3d_to_scalar_int32
|
|
sum_2d_to_scalar_int8
|
|
max_pool_uint8
|
|
max_pool_int8
|
|
avg_pool_uint8
|
|
avg_pool_int8
|
|
max_to_scalar_int8
|
|
onnx_dyn_shapes_model_tile_static
|
|
|
|
# Segfault
|
|
gather_4d_indices_no_axis_uint8
|
|
tensor_constant_with_op
|
|
constant_equality_bool
|
|
reduce_product_matrix_rows
|
|
reduce_product_3d_to_matrix_most_sig
|
|
reduce_product_3d_to_matrix_least_sig
|
|
reduce_product_keep_matrix_columns
|
|
reduce_product_keep_matrix_rows
|
|
reduce_product_keep_3d_to_matrix_most_sig
|
|
reduce_product_keep_3d_to_matrix_least_sig
|
|
reduce_product_matrix_columns_dynamic
|
|
reduce_product_matrix_rows_dynamic
|
|
reduce_product_keep_matrix_columns_dynamic
|
|
reduce_product_keep_matrix_rows_dynamic
|
|
reduce_min_matrix_columns
|
|
reduce_min_matrix_rows
|
|
reduce_min_matrix_rows_int32
|
|
reduce_min_3d_to_matrix_most_sig
|
|
reduce_min_3d_to_matrix_least_sig
|
|
reduce_min_keep_matrix_columns
|
|
reduce_min_keep_matrix_rows
|
|
reduce_min_keep_matrix_rows_int32
|
|
reduce_min_keep_3d_to_matrix_most_sig
|
|
reduce_min_keep_3d_to_matrix_least_sig
|
|
reduce_min_matrix_columns_dynamic
|
|
reduce_min_matrix_rows_dynamic
|
|
reduce_min_keep_matrix_columns_dynamic
|
|
reduce_min_keep_matrix_rows_dynamic
|
|
|
|
# zero dimension / result mismatch
|
|
reduce_product_matrix_rows_zero
|
|
reduce_product_matrix_cols_zero
|
|
reduce_product_vector_zero
|
|
reduce_product_matrix_to_scalar_zero_by_zero
|
|
reduce_product_3d_eliminate_zero_dim
|
|
reduce_product_to_scalar_int8
|
|
reduce_product_keep_matrix_rows_zero
|
|
reduce_product_keep_matrix_cols_zero
|
|
reduce_product_keep_vector_zero
|
|
reduce_product_keep_matrix_to_scalar_zero_by_zero
|
|
reduce_product_keep_3d_eliminate_zero_dim
|
|
reduce_product_keep_to_scalar_int8
|
|
reduce_min_to_scalar_int8
|
|
reduce_min_matrix_rows_zero
|
|
reduce_min_matrix_cols_zero
|
|
reduce_min_vector_zero
|
|
reduce_min_matrix_to_scalar_zero_by_zero
|
|
reduce_min_3d_eliminate_zero_dim
|
|
reduce_min_keep_to_scalar_int8
|
|
reduce_min_keep_matrix_rows_zero
|
|
reduce_min_keep_matrix_cols_zero
|
|
reduce_min_keep_vector_zero
|
|
reduce_min_keep_matrix_to_scalar_zero_by_zero
|
|
reduce_min_keep_3d_eliminate_zero_dim
|
|
reduce_mean_to_scalar_int8
|
|
reduce_mean_matrix_rows_int32
|
|
reduce_mean_keep_to_scalar_int8
|
|
reduce_mean_keep_matrix_rows_int32
|
|
reduce_max_to_scalar_int8
|
|
reduce_max_matrix_rows_zero
|
|
reduce_max_matrix_rows_zero_int32
|
|
reduce_max_matrix_cols_zero
|
|
reduce_max_vector_zero
|
|
reduce_max_matrix_to_scalar_zero_by_zero
|
|
reduce_max_3d_to_scalar_double
|
|
reduce_max_3d_eliminate_zero_dim
|
|
reduce_max_keep_to_scalar_int8
|
|
reduce_max_keep_matrix_rows_zero
|
|
reduce_max_keep_matrix_rows_zero_int32
|
|
reduce_max_keep_matrix_cols_zero
|
|
reduce_max_keep_vector_zero
|
|
reduce_max_keep_matrix_to_scalar_zero_by_zero
|
|
reduce_max_keep_3d_to_scalar_double
|
|
reduce_max_keep_3d_eliminate_zero_dim
|
|
|
|
# Incorrect precision f64!
|
|
sum_trivial_in_double
|
|
sum_stable_acc_double
|
|
sum_stable_simple_double
|
|
softmax_axis_3d_double
|
|
select_double
|
|
quantize_clamp_int32
|
|
max_3d_to_scalar_double
|
|
argmin_trivial_in_double
|
|
IE_CPU.fused_clamp_double
|
|
|
|
# Incorrect precision bf16!
|
|
convert_float32_bf16
|
|
convert_bf16_float32
|
|
|
|
# [nGraph upgrade pass] Unable to convert Softmax:0 to Softmax:1 with zero or more than one axis.
|
|
softmax_dynamic_axes
|
|
softmax_all
|
|
|
|
# Unable to convert GroupConvolution:0 to GroupConvolution:1with data dilation strides other than `1`
|
|
group_conv_data_dilation
|
|
|
|
# [NOT_IMPLEMENTED] Input image format I64 is not supported yet...
|
|
slice_3d_strided_different_strides_int64
|
|
maximum_int64
|
|
gather_no_axis_int16
|
|
gather_no_axis_int64
|
|
gather_no_axis_uint16
|
|
gather_no_axis_uint64
|
|
concat_matrix_int64
|
|
greater_int64
|
|
broadcast_vector_rowwise_int64
|
|
broadcast_scalar_to_matrix_int64
|
|
abc_int64
|
|
|
|
# Unsupported primitive of type: SigmoidBackprop
|
|
sigmoid_bprop_n1c1h4
|
|
|
|
# Unsupported primitive of type: ROIAlign
|
|
IE_CPU.onnx_roi_align_f32
|
|
|
|
# [NOT_IMPLEMENTED] Input image format BOOL is not supported yet...
|
|
select
|
|
not
|
|
logical_xor
|
|
logical_or
|
|
logical_and
|
|
gather_no_axis_bool
|
|
lesseq_bool
|
|
auto_bcast_binary_elementwise
|
|
auto_bcast_binary_elementwise_pdpd
|
|
any_2x2_to_scalar_true
|
|
any_2x2_to_scalar_false
|
|
any_2x3_eliminate_col_dim
|
|
any_2x3_eliminate_row_dim
|
|
any_2x2x3_eliminate_dim_0
|
|
any_2x2x3_eliminate_dim_1
|
|
any_2x2x3_eliminate_dim_2
|
|
any_2x2x3_eliminate_dims_0_1
|
|
any_2x2x3_eliminate_dims_0_2
|
|
any_2x2x3_eliminate_dims_1_2
|
|
any_2x2x3_eliminate_dims_0_1_2
|
|
all_2x2_to_scalar_false
|
|
all_2x2_to_scalar_true
|
|
all_2x3_eliminate_col_dim
|
|
all_2x3_eliminate_row_dim
|
|
all_2x2x3_eliminate_dim_0
|
|
all_2x2x3_eliminate_dim_1
|
|
all_2x2x3_eliminate_dim_2
|
|
all_2x2x3_eliminate_dims_0_1
|
|
all_2x2x3_eliminate_dims_0_2
|
|
all_2x2x3_eliminate_dims_1_2
|
|
all_2x2x3_eliminate_dims_0_1_2
|
|
all_dynamic_axis
|
|
all_change_axis
|
|
|
|
# Positive input shape should be the same as negative input shape
|
|
select_v1
|
|
|
|
# Cannot cast ngraph node Reverse to CNNLayer!
|
|
reverse_1d_0
|
|
reverse_2d_0
|
|
reverse_2d_1
|
|
reverse_2d_01
|
|
reverse_3d_0
|
|
reverse_3d_1
|
|
reverse_3d_2
|
|
reverse_3d_01
|
|
reverse_3d_02
|
|
reverse_3d_12
|
|
reverse_3d_012
|
|
broadcast_vector_rowwise_reversed
|
|
|
|
|
|
# Cannot cast ngraph node ReplaceSlice to CNNLayer!
|
|
replace_slice_scalar
|
|
replace_slice_matrix_inplace
|
|
replace_slice_matrix
|
|
replace_slice_vector
|
|
replace_slice_3d
|
|
replace_slice_3d_strided
|
|
replace_slice_3d_strided_different_strides
|
|
|
|
# Unsupported primitive of type: ReluBackprop
|
|
relu_2Dbackprop
|
|
relu_4Dbackprop
|
|
|
|
# data [<name>] doesn't exist
|
|
range
|
|
parameter_as_output
|
|
|
|
# Cannot cast ngraph node QuantizedDot to CNNLayer!
|
|
quantized_dot_u8u8
|
|
quantized_dot_int32_output
|
|
|
|
# [nGraph] Input scale and input zero point shape must be same and 1
|
|
quantized_convolution
|
|
|
|
# Cannot cast ngraph node QuantizedConvolution to CNNLayer!
|
|
quantized_conv_int32_output
|
|
|
|
# Cannot cast ngraph node Quantize to CNNLayer!
|
|
quantize
|
|
quantize_zero_offset
|
|
quantize_axes
|
|
quantize_int8
|
|
quantize_int8_zero_offset
|
|
quantize_int32
|
|
quantize_int32_zero_offset
|
|
quantize_clamp_uint8
|
|
quantize_clamp_int8
|
|
quantize_ROUND_NEAREST_TOWARD_ZERO
|
|
quantize_ROUND_NEAREST_TOWARD_INFINITY
|
|
quantize_ROUND_NEAREST_UPWARD
|
|
quantize_ROUND_NEAREST_DOWNWARD
|
|
quantize_ROUND_NEAREST_TOWARD_EVEN
|
|
quantize_ROUND_TOWARD_INFINITY
|
|
quantize_ROUND_TOWARD_ZERO
|
|
quantize_ROUND_UP
|
|
quantize_ROUND_DOWN
|
|
quantize_dynamic_offset
|
|
|
|
# Cannot cast ngraph node Dequantize to CNNLayer!
|
|
dequantize
|
|
dequantize_zero_offset
|
|
dequantize_axes
|
|
dequantize_int8
|
|
dequantize_int8_zero_offset
|
|
dequantize_int32
|
|
dequantize_int32_zero_offset
|
|
dequantize_dynamic_offset
|
|
|
|
# <op_name> Incorrect input data tensor precision. Only FP32/I32/U8 are supported!
|
|
product_to_scalar_int8
|
|
min_to_scalar_int8
|
|
|
|
# Pooling layer. Unsupported mode. Only 4D and 5D blobs are supported as input.
|
|
max_pool_1d_1channel_1image
|
|
max_pool_1d_1channel_2image
|
|
max_pool_1d_2channel_2image
|
|
avg_pool_1d_1channel_1image
|
|
avg_pool_1d_1channel_2image
|
|
avg_pool_1d_2channel_2image
|
|
|
|
# Could not eliminate all Dyn nodes
|
|
avg_pool_bprop_2d_2channel_2image_dyn_shape
|
|
reshape_v1
|
|
dyn_convolution_backprop_data
|
|
dyn_convolution_backprop_filter
|
|
|
|
# Pad Pad_524448 with not constant pad_value is not allowed
|
|
pad_exterior_1d
|
|
pad_negative_exterior_1d
|
|
pad_negative_exterior_1d_check_limits
|
|
pad_edge_1d
|
|
pad_edge_1d_top_neg
|
|
pad_edge_1d_top_neg_bigger_than_tensor
|
|
pad_edge_1d_bottom_neg
|
|
pad_edge_1d_bottom_neg_bigger_than_tensor
|
|
pad_edge_2d
|
|
pad_edge_2d_with_neg
|
|
pad_reflect_1d
|
|
pad_reflect_1d_top_neg
|
|
pad_reflect_1d_top_neg_bigger_than_tensor
|
|
pad_reflect_1d_bottom_neg
|
|
pad_reflect_1d_bottom_neg_bigger_than_tensor
|
|
pad_reflect_1d_multi_reflect
|
|
pad_reflect_2d
|
|
pad_reflect_2d_with_neg
|
|
pad_negative_exterior_2d
|
|
pad_negative_exterior_2d_all_negative
|
|
pad_exterior_4d_1x2x2x2
|
|
pad_negative_exterior_4d
|
|
pad_2channel_2image_asym
|
|
pad_symmetric
|
|
|
|
# Output 0 type 'i32' does not match Result type 'i64'" thrown in the test body.
|
|
one_hot_scalar_2_in_3
|
|
one_hot_scalar_1_in_3
|
|
one_hot_scalar_0_in_3
|
|
one_hot_vector_0
|
|
one_hot_vector_1
|
|
one_hot_vector_1_barely_oob
|
|
one_hot_matrix_0
|
|
one_hot_vector_many_categories
|
|
|
|
# LRN operation should be converted to LRN_IE
|
|
lrn_across_h
|
|
lrn_across_nw
|
|
lrn_6D_across_2_axes
|
|
|
|
# std::exception
|
|
lrn_2d_across_outermost_axis
|
|
|
|
# Cannot cast ngraph node GroupConvolutionBackpropFilters_686350 to CNNLayer!
|
|
dyn_group_convolution_backprop_filters
|
|
|
|
# Layer <op_name> input port 1 is not connected to any data
|
|
prelu
|
|
prelu_shared_slope
|
|
prelu_negative_slope
|
|
convolution_simple_padding
|
|
|
|
# Cannot cast ngraph node GatherND to CNNLayer!
|
|
gather_nd_single_indices
|
|
gather_nd_scalar_from_2d
|
|
gather_nd_1d_from_2d
|
|
gather_nd_scalar_from_3d
|
|
gather_nd_1d_from_3d
|
|
gather_nd_2d_from_3d
|
|
gather_nd_batch_scalar_from_2d
|
|
gather_nd_batch_1d_from_2d
|
|
gather_nd_batch_scalar_from_3d
|
|
gather_nd_batch_1d_from_3d
|
|
gather_nd_batch_2d_from_3d
|
|
|
|
# Cannot cast ngraph node Stack to CNNLayer!
|
|
stack_matrix_rowise
|
|
stack_matrix_colwise
|
|
stack_negative_axis
|
|
|
|
# Cannot cast ngraph node ConvolutionBias to CNNLayer!
|
|
conv_bias_1d
|
|
conv_bias_2d
|
|
conv_bias_3d
|
|
|
|
# Cannot cast ngraph node ConvolutionBiasBackpropFiltersBias to CNNLayer!
|
|
conv_bias_bprop_2d
|
|
|
|
# Cannot cast ngraph node ConvolutionBiasAdd to CNNLayer!
|
|
conv_bias_add_2d
|
|
|
|
# Unsupported primitive of type: SpaceToBatch
|
|
space_to_batch
|
|
batch_to_space
|
|
|
|
# [Validation] Argument must have rank >= 2 and <= 4 (argument shape: {1,2,2,2,3})
|
|
normalize_across_1axis_5d
|
|
normalize_across_123axes_5d
|
|
|
|
# Unsupported operator detected in the graph.
|
|
gemm
|
|
gemm_C
|
|
gemm_broadcast_input_C
|
|
gemm_broadcast_axes_0_input_C
|
|
gemm_broadcast_axes_1_input_C
|
|
scale_shift_no_broadcast
|
|
scale_shift
|
|
|
|
# Cannot cast ngraph node ShuffleChannels to CNNLayer!
|
|
shuffle_channels_simple
|
|
shuffle_channels_negative_axis
|
|
shuffle_channels_float
|
|
|
|
# Cannot cast ngraph node LSTMCell to CNNLayer!
|
|
lstm_cell_no_bias_no_peepholes
|
|
lstm_cell_zero_bias_peepholes
|
|
lstm_cell_zero_bias_peepholes_constant
|
|
lstm_cell_fixed_no_bias_no_peepholes
|
|
lstm_cell_bias_peepholes
|
|
lstm_cell_bias_peepholes_clip_input_forget
|
|
lstm_cell_activaction_functions
|
|
|
|
# RNNCell should be converted to RNNCellIE operation!
|
|
rnn_cell_no_bias
|
|
rnn_cell_bias_clip
|
|
rnn_cell_activation_function
|
|
|
|
# GRUCell should be converted to GRUCellIE operation!
|
|
gru_cell_bias_clip
|
|
gru_cell_linear_before_reset
|
|
gru_cell_activation_function
|
|
|
|
# Detected op not belonging to opset1!
|
|
onnx_model_quant_conv_linear
|
|
onnx_model_quant_conv_linear_2d
|
|
onnx_model_quant_conv_linear_3d
|
|
|
|
# Cannot cast ngraph node Dot to CNNLayer!
|
|
dot_4d_5d_multi_axis
|
|
dot_4d_5d_multi_axis_more
|
|
dot1d
|
|
dot2d
|
|
dot2d_non_square
|
|
dot3d_3d
|
|
dot3d_2d
|
|
dot_scalar_tensor_arg0
|
|
dot_scalar_tensor_arg1
|
|
dot_scalar_scalar
|
|
dot_matrix_vector_4_3
|
|
dot_matrix_vector
|
|
dot_matrix_vector_int64
|
|
dot_3d_multi_axis
|
|
dot_3d_one_axis_arbitrary
|
|
|
|
# Cannot cast ngraph node CumSum to CNNLayer!
|
|
cum_sum_default
|
|
cum_sum_2dim
|
|
cum_sum_3d
|
|
cum_sum_2dim_allmodes
|
|
|
|
# Cannot create MKLDNNMemoryDesc from TensorDesc. Unsupported precision!
|
|
convert_uint16_float32
|
|
|
|
# Unsupported primitive of type: Ceiling
|
|
ceiling
|
|
|
|
# Incorrect dimensions for broadcasting for Add
|
|
auto_bcast_binary_elementwise_pdpd_dynamic
|
|
|
|
# Unsupported primitive of type: ArgMin
|
|
argmin_trivial
|
|
argmin_2D_i32
|
|
argmin_3D_i32
|
|
argmin_3D_i64
|
|
argmin_4D_i64
|
|
argmin_4D_axis_3_i64
|
|
argmin_4D_axis_3
|
|
|
|
# Unsupported primitive of type: ArgMin
|
|
argmin_trivial_in_i32
|
|
|
|
# Error of validate layer: ArgMax with type: ArgMax. No such parameter name 'top_k' for layer ArgMax
|
|
argmax_trivial
|
|
argmax_2D_i32
|
|
argmax_3D_i32
|
|
argmax_3D_i64
|
|
argmax_4D_i64
|
|
argmax_3D_axis_0
|
|
argmax_3D_axis_1
|
|
argmax_3D_axis_2
|
|
argmax_4D_axis_3
|
|
argmax_4D_axis_3_i64_in_i32
|
|
|
|
# Cannot find blob with name: Broadcast_1431690
|
|
broadcast_algo_vector_middle
|
|
broadcast_algo_vector_forward_3
|
|
broadcast_algo_vector_forward_4
|
|
broadcast_algo_vector_backward_3
|
|
broadcast_algo_vector_backward_4
|
|
broadcast_algo_matrix_backward_4
|
|
broadcast_algo_matrix_stride_1
|
|
broadcast_algo_matrix_stride_2
|
|
broadcast_algo_matrix_stride_3
|
|
|
|
# Failing from new reason after unblocking more Blob types
|
|
gather_2d_negative_and_positive_indices_no_axis_2d_input
|
|
gather_no_axis_int8
|
|
gather_no_axis_uint8
|
|
gather_no_axis_uint32
|
|
split_3_equal_parts
|
|
split_var_len_parts
|
|
floor_int32
|
|
strided_slice_0
|
|
strided_slice_1
|
|
strided_slice_stride_optional
|
|
divide_int32
|
|
divide_cpp_rounding_int32
|
|
divide_python_rounding_int32
|
|
convert_int32_bool
|
|
lesseq_int32
|
|
|
|
# Uncategorized
|
|
convolution_2d_1item
|
|
convolution_2d_1item_padded_1_1x1_1
|
|
convolution_2d_1item_padded_2_3x4_5
|
|
convolution_2d_2items
|
|
convolution_2d_2items_strided
|
|
convolution_2d_2items_strided_padded
|
|
convolution_2d_2items_strided_padded_same
|
|
convolution_2d_2items_dilated
|
|
convolution_2d_2items_dilated_padded
|
|
convolution_3d_2items
|
|
convolution_4d_2items
|
|
convolution_4d_4items
|
|
convolution_4d_4items_padded_neg
|
|
convolution_4d_4items_strided
|
|
convolution_4d_4items_dilated
|
|
convolution_4d_4items_strided_dilated
|
|
convolution_4d_4items_strided_dilated_padded
|
|
convolution_4d_4items_strided_dilated_padded_neg
|
|
convolution_4d_4items_strided_dilated_padded_same
|
|
convolution_2d_1item_1o1i_data_dilated
|
|
convolution_2d_1item_2o1i_data_dilated
|
|
convolution_2d_1item_2o2i_data_dilated
|
|
convolution_2d_1item_5o3i_data_dilated
|
|
convolution_2d_2item_5o3i_data_dilated
|
|
convolution_2d_8item_large_5o3i_data_dilated
|
|
convolution_2d_8item_large_5o3i_uneven_filter_data_dilated
|
|
convolution_2d_8item_large_5o3i_uneven_filter_uneven_data_dilation_data_dilated
|
|
convolution_3d_2item_large_5o3i_uneven_filter_uneven_data_dilation_data_dilated
|
|
convolution_3d_1item_large_5o3i_padded_uneven_filter_uneven_data_dilation_data_dilated
|
|
convolution_3d_2item_large_5o3i_padded_strided_uneven_filter_uneven_data_dilation_data_dilated
|
|
convolution_3d_2item_large_5o3i_padded_strided_uneven_filter_uneven_data_dilation_filter_dilated_data_dilated
|
|
tensor_constant
|
|
tensor_2constant
|
|
constant_multi_use
|
|
scalar_constant_float32
|
|
scalar_constant_int64
|
|
tensor_constant_float32
|
|
tensor_constant_int64
|
|
topk_resnet50
|
|
topk_max_sort_none
|
|
topk_min_sort_none
|
|
topk_max_sort_value
|
|
topk_min_sort_value
|
|
topk_max_sort_index
|
|
topk_min_sort_index
|
|
topk_1d_i32_max_all
|
|
topk_int64
|
|
gelu_f32
|
|
gelu_f64
|
|
gelu_backprop_factor_f32
|
|
gelu_backprop_factor_f64
|
|
|
|
# Incorrect precision f64!
|
|
batch_norm_inference_0eps_f64
|
|
batch_norm_inference_f64
|
|
batch_norm_training_0eps_f64
|
|
|
|
# Function inputs number differ from number of given inputs
|
|
batch_norm_inference_parameters_duplication
|
|
|
|
backwards_abs
|
|
backwards_acos
|
|
backwards_add
|
|
backwards_add_nested
|
|
backwards_asin
|
|
backwards_atan
|
|
backwards_broadcast0
|
|
backwards_broadcast1
|
|
backwards_concat_vector
|
|
backwards_concat_axis_0
|
|
backwards_concat_axis_1
|
|
backwards_ceiling
|
|
backwards_cosh
|
|
backwards_divide
|
|
backwards_dot_scalar_scalar
|
|
backwards_dot_scalar_tensor
|
|
backwards_dot_tensor_scalar
|
|
backwards_dot_vector_vector
|
|
backwards_dot_tensor_vector
|
|
backwards_dot_tensor2_tensor2
|
|
backwards_dot_tensor3_tensor3
|
|
backwards_batchmatmul_tensor2_tensor2
|
|
backwards_exp
|
|
backwards_floor
|
|
backwards_maximum
|
|
backwards_minimum
|
|
backwards_multiply
|
|
backwards_negative
|
|
backwards_parameter
|
|
backwards_power
|
|
backwards_relu
|
|
backwards_replace_slice
|
|
backwards_reshape
|
|
backwards_select
|
|
backwards_select_nested
|
|
backwards_sigmoid
|
|
backwards_sign
|
|
backwards_sin
|
|
backwards_sinh
|
|
backwards_slice
|
|
backwards_softmax_all
|
|
backwards_softmax_axis
|
|
backwards_softmax_underflow
|
|
backwards_softmax_3d
|
|
backwards_subtract
|
|
backwards_sum_v2s
|
|
backwards_sum_m2s
|
|
backwards_sum_m2v_0
|
|
backwards_sum_m2v_1
|
|
backwards_tan
|
|
backwards_tanh
|
|
backwards_abc
|
|
backwards_reverse_3d_02
|
|
backwards_maxpool_n4c1h4w4_kh2kw2_sh1sw1
|
|
backwards_maxpool_n2c1h5w5_kh3kw3_sh2sw2
|
|
backwards_reverse_sequence_n3_c2_h3
|
|
backwards_reverse_sequence_n4d2c3h2w2
|
|
backwards_gelu_f32
|
|
backwards_gelu_f64
|
|
|
|
round
|
|
round_2D
|
|
matmul_2x0_0x2
|
|
matmul_0x2_2x0
|
|
matmul_3x2_2x0
|
|
matmul_2x3_3x3_int64
|
|
|
|
onnx_bool_const_op
|
|
onnx_bool_init_and
|
|
onnx_bool_input_or
|
|
onnx_bool_init_raw
|
|
shape_of_scalar_v0
|
|
shape_of_scalar_v3
|
|
shape_of_vector_v0
|
|
shape_of_vector_v3
|
|
shape_of_matrix_v0
|
|
shape_of_matrix_v3
|
|
shape_of_5d_v0
|
|
shape_of_5d_v3
|
|
|
|
# Need use evaluate, only applicable to INTERPRETER
|
|
non_zero
|
|
non_zero_all_1s
|
|
non_zero_all_0s
|
|
|
|
#-------------------------------------------------------------------------------
|
|
#
|
|
# Inference Engine CPU plugin excludes
|
|
#
|
|
#-------------------------------------------------------------------------------
|
|
|
|
# Cannot cast ngraph node ReplaceSlice to CNNLayer!
|
|
# Incorrect precision u32!
|
|
# Parameter has zero dimension that is not allowable
|
|
IE_CPU.fused_clamp_uint32
|
|
|
|
# Cannot cast ngraph node Reshape to CNNLayer!
|
|
# Parameter has zero dimension that is not allowable
|
|
IE_CPU/FlattenTest.flatten
|
|
|
|
# Segfault
|
|
IE_CPU.onnx_model_reverse_sequence_1_batch_0
|
|
IE_CPU.onnx_model_reverse_sequence_0_batch_1
|
|
IE_CPU.cum_sum_2dim_default_axis
|
|
|
|
#Node <name> contains empty child edge for index 0
|
|
IE_CPU.backwards_log
|
|
|
|
# Unsupported op detected
|
|
IE_CPU.backwards_batchmatmultranspose_tensor2_tensor2
|
|
IE_CPU.round_int64
|
|
|
|
# Can't convert type f16 to IE Precision!
|
|
IE_CPU.fused_clamp_float16
|
|
|
|
# [NOT_IMPLEMENTED] Input image format BF16 is not supported yet...
|
|
IE_CPU.fused_clamp_bfloat16
|
|
|
|
# Operations were removed from opset
|
|
IE_CPU.atanh
|
|
IE_CPU.asinh
|
|
IE_CPU.acosh
|
|
|
|
# Unsupported collapse op with dynamic shape
|
|
IE_CPU.builder_opset1_collapse_dyn_shape
|
|
|
|
# nGraph Interpolate operation with name: Y cannot be converted to Interpolate layer with name:
|
|
# Y because output with index 0 contains dynamic shapes: {?,?,?,?}
|
|
IE_CPU.onnx_resize11_scales_nearest_asymmetric_floor_dynamic_sizes
|
|
|
|
# Input data precision not supported. Expected float.
|
|
ctc_greedy_decoder_f16
|
|
|
|
#-------------------------------------------------------------------------------
|
|
#
|
|
# Inference Engine GPU plugin excludes
|
|
#
|
|
#-------------------------------------------------------------------------------
|
|
|
|
IE_GPU.onnx_model_reshape_reduced_dims
|
|
IE_GPU.onnx_model_reshape_reordered_dims
|
|
IE_GPU.onnx_model_reshape_extended_dims
|
|
IE_GPU.onnx_model_reshape_single_dim
|
|
IE_GPU.onnx_model_reshape_negative_dim
|
|
IE_GPU.onnx_model_reshape_negative_with_zero_dim
|
|
IE_GPU.onnx_model_reshape_output_shape_as_input
|
|
IE_GPU.onnx_model_depth_to_space
|
|
IE_GPU.onnx_model_space_to_depth
|
|
IE_GPU.onnx_model_squeeze
|
|
IE_GPU.onnx_model_unsqueeze
|
|
IE_GPU.onnx_model_unsqueeze_negative_axes
|
|
IE_GPU.onnx_model_concat
|
|
IE_GPU.onnx_model_concat_negative_axis
|
|
IE_GPU.onnx_model_flatten
|
|
IE_GPU.onnx_model_average_pool_2d
|
|
IE_GPU.onnx_model_average_pool_2d_pads
|
|
IE_GPU.onnx_model_max_pool_2d_pads
|
|
IE_GPU.onnx_model_global_lp_pool_p1
|
|
IE_GPU.onnx_test_test_case
|
|
IE_GPU.onnx_test_test_case_mutliple_inputs
|
|
IE_GPU.onnx_model_add_abc
|
|
IE_GPU.onnx_model_binary_add_abc
|
|
IE_GPU.onnx_model_add_abc_initializers
|
|
IE_GPU.onnx_model_override_op
|
|
IE_GPU.onnx_model_custom_op
|
|
IE_GPU.onnx_model_custom_op_default_domain
|
|
IE_GPU.onnx_model_missing_op_domain
|
|
IE_GPU.onnx_model_missing_input
|
|
IE_GPU.onnx_model_initializer_wo_input
|
|
IE_GPU.onnx_model_addmul_abc
|
|
IE_GPU.onnx_model_relu
|
|
IE_GPU.onnx_model_sum_opset1
|
|
IE_GPU.onnx_model_sum
|
|
IE_GPU.onnx_model_min_two_inputs_opset1
|
|
IE_GPU.onnx_model_min_two_inputs
|
|
IE_GPU.onnx_model_max_opset1
|
|
IE_GPU.onnx_model_max
|
|
IE_GPU.onnx_model_gemm_abc
|
|
IE_GPU.onnx_model_matmul
|
|
IE_GPU.onnx_model_sub
|
|
IE_GPU.onnx_model_div
|
|
IE_GPU.onnx_model_add_bcast
|
|
IE_GPU.onnx_model_reduce_log_sum
|
|
IE_GPU.onnx_model_reduce_log_sum_exp
|
|
IE_GPU.onnx_model_reduce_l1
|
|
IE_GPU.onnx_model_reduce_max
|
|
IE_GPU.onnx_model_reduce_mean
|
|
IE_GPU.onnx_model_reduce_min
|
|
IE_GPU.onnx_model_reduce_prod
|
|
IE_GPU.onnx_model_reduce_sum
|
|
IE_GPU.onnx_model_reduce_sum_square
|
|
IE_GPU.onnx_model_leaky_relu
|
|
IE_GPU.onnx_model_selu
|
|
IE_GPU.onnx_model_sigmoid
|
|
IE_GPU.onnx_model_tanh
|
|
IE_GPU.onnx_model_thresholded_relu
|
|
IE_GPU.onnx_model_matmul_vec_ten3d
|
|
IE_GPU.onnx_model_softplus
|
|
IE_GPU.onnx_model_softplus_infinity
|
|
IE_GPU.onnx_model_sum_opset8
|
|
IE_GPU.onnx_model_atanh
|
|
IE_GPU.onnx_model_sinh
|
|
IE_GPU.onnx_model_cosh
|
|
IE_GPU.onnx_model_sign
|
|
IE_GPU.onnx_model_shrink_float
|
|
IE_GPU.onnx_model_shrink_int
|
|
IE_GPU.onnx_model_lp_norm_p1
|
|
IE_GPU.onnx_model_reverse_sequence_0_batch_1
|
|
IE_GPU.onnx_model_reverse_sequence_1_batch_0
|
|
IE_GPU.onnx_matmul_float_type
|
|
IE_GPU.onnx_model_pad_constant
|
|
IE_GPU.onnx_model_reciprocal
|
|
IE_GPU.onnx_dyn_shapes_model_atanh_1_3
|
|
IE_GPU.onnx_dyn_shapes_model_atanh_3_2
|
|
IE_GPU.onnx_dyn_shapes_avg_pool_dyn_shape
|
|
IE_GPU.onnx_dyn_shapes_max_pool_dyn_shape
|
|
IE_GPU.onnx_dyn_shapes_global_avg_pool_dyn_shape
|
|
IE_GPU.onnx_dyn_shapes_global_max_pool_dyn_shape
|
|
IE_GPU.ctc_greedy_decoder
|
|
IE_GPU.ctc_greedy_decoder_multiple_batches
|
|
IE_GPU.ctc_greedy_decoder_single_batch_short_sequence
|
|
IE_GPU.ctc_greedy_decoder_merge
|
|
IE_GPU.ctc_greedy_decoder_single_no_merge
|
|
IE_GPU.ctc_greedy_decoder_multiple_sequences
|
|
IE_GPU.onnx_roi_align_f32
|
|
IE_GPU.tanh
|
|
IE_GPU.tan
|
|
IE_GPU.sum_to_scalar
|
|
IE_GPU.sum_matrix_columns
|
|
IE_GPU.sum_matrix_rows
|
|
IE_GPU.sum_3d_to_matrix_most_sig
|
|
IE_GPU.sum_3d_to_matrix_least_sig
|
|
IE_GPU.sum_3d_to_vector
|
|
IE_GPU.sum_3d_to_scalar
|
|
IE_GPU.sum_5d_to_scalar
|
|
IE_GPU.sum_5d_to_scalar_int32
|
|
IE_GPU.sum_stable_simple_float
|
|
IE_GPU.sum_inf
|
|
IE_GPU.subtract
|
|
IE_GPU.subtract_overload
|
|
IE_GPU.softmax_axis_3d
|
|
IE_GPU.softmax_axis
|
|
IE_GPU.softmax_axis_2
|
|
IE_GPU.softmax_axis_3d_trivial
|
|
IE_GPU.softmax_underflow
|
|
IE_GPU.softmax_overflow
|
|
IE_GPU.slice_matrix
|
|
IE_GPU.slice_vector
|
|
IE_GPU.slice_matrix_axis_0_overlap
|
|
IE_GPU.slice_matrix_axis_0_in_place
|
|
IE_GPU.slice_matrix_axis_0_in_place_twice
|
|
IE_GPU.slice_matrix_axis_0_in_place_twice_overlap
|
|
IE_GPU.slice_matrix_strided
|
|
IE_GPU.slice_3d
|
|
IE_GPU.slice_3d_strided
|
|
IE_GPU.slice_3d_strided_different_strides
|
|
IE_GPU.sinh
|
|
IE_GPU.sin
|
|
IE_GPU.sign
|
|
IE_GPU.sigmoid_n1c1h2w2
|
|
IE_GPU.sigmoid_n1c1h4
|
|
IE_GPU.reverse_sequence_n2c3h4w2
|
|
IE_GPU.reverse_sequence_n4c3h2w2
|
|
IE_GPU.reverse_sequence_n4d2c3h2w2
|
|
IE_GPU.reverse_sequence_negative_axes
|
|
IE_GPU.relu_2Dfprop
|
|
IE_GPU.relu_2Dfprop_i32
|
|
IE_GPU.relu_4Dfprop
|
|
IE_GPU.fuse_max_with_constant_zero_input_as_relu
|
|
IE_GPU.product_to_scalar
|
|
IE_GPU.product_matrix_columns
|
|
IE_GPU.product_matrix_rows
|
|
IE_GPU.product_3d_to_matrix_most_sig
|
|
IE_GPU.product_3d_to_matrix_least_sig
|
|
IE_GPU.product_3d_to_vector
|
|
IE_GPU.product_3d_to_scalar
|
|
IE_GPU.product_2d_to_scalar_int32
|
|
IE_GPU.product_to_scalar_int32
|
|
IE_GPU.power
|
|
IE_GPU.max_pool_2d_2channel_2image
|
|
IE_GPU.max_pool_2d_2channel_2image_asym_pad
|
|
IE_GPU.max_pool_2d_1channel_1image_padded_negative_values
|
|
IE_GPU.max_pool_2d_1channel_1image_strided
|
|
IE_GPU.avg_pool_2d_2channel_2image
|
|
IE_GPU.avg_pool_2d_1channel_1image_strided
|
|
IE_GPU.avg_pool_2d_1channel_1image_padded_do_not_include_in_computation
|
|
IE_GPU.avg_pool_2d_1channel_1image_padded_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_padded_do_not_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_padded_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_padded_only_below_do_not_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_padded_only_below_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_padded_only_above_do_not_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_3x3_padded_do_not_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_3x3_padded_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_3x3_strided_padded_do_not_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_3x3_strided_padded_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_3x3_strided_uneven_padded_do_not_include_in_computation
|
|
IE_GPU.avg_pool_2d_2channel_2image_3x3_strided_uneven_padded_include_in_computation
|
|
IE_GPU.node_name
|
|
IE_GPU.negative
|
|
IE_GPU.negative_i32
|
|
IE_GPU.negative_f32
|
|
IE_GPU.normalize_l2_all_mode_add
|
|
IE_GPU.normalize_l2_none_mode_add
|
|
IE_GPU.normalize_l2_zero_mode_add
|
|
IE_GPU.normalize_l2_all_mode_max
|
|
IE_GPU.normalize_l2_none_mode_max
|
|
IE_GPU.normalize_l2_zero_mode_max
|
|
IE_GPU.multiply
|
|
IE_GPU.multiply_overload
|
|
IE_GPU.multiple_backends
|
|
IE_GPU.minimum
|
|
IE_GPU.minimum_int32
|
|
IE_GPU.min_to_scalar
|
|
IE_GPU.min_matrix_columns
|
|
IE_GPU.min_matrix_rows
|
|
IE_GPU.min_matrix_rows_int32
|
|
IE_GPU.min_3d_to_matrix_most_sig
|
|
IE_GPU.min_3d_to_matrix_least_sig
|
|
IE_GPU.min_3d_to_vector
|
|
IE_GPU.min_3d_to_scalar
|
|
IE_GPU.min_3d_to_scalar_int32
|
|
IE_GPU.maximum
|
|
IE_GPU.maximum_int32
|
|
IE_GPU.max_to_scalar
|
|
IE_GPU.max_matrix_columns
|
|
IE_GPU.max_matrix_rows
|
|
IE_GPU.max_matrix_rows_int32
|
|
IE_GPU.max_3d_to_matrix_most_sig
|
|
IE_GPU.max_3d_to_matrix_least_sig
|
|
IE_GPU.max_3d_to_vector
|
|
IE_GPU.max_3d_to_scalar
|
|
IE_GPU.max_3d_to_scalar_int32
|
|
IE_GPU.lrn_across_channel
|
|
IE_GPU.log
|
|
IE_GPU.gather_4d_indices_no_axis_2d_input
|
|
IE_GPU.gather_3d_indices_no_axis_2d_input
|
|
IE_GPU.gather_2d_indices_no_axis_2d_input
|
|
IE_GPU.gather_1d_indices_no_axis_1d_input
|
|
IE_GPU.gather_2d_indices_axis_1_2d_input
|
|
IE_GPU.gather_1d_indices_axis_2_4d_input
|
|
IE_GPU.gather_no_axis_int32
|
|
IE_GPU.hardsigmoid
|
|
IE_GPU.space_to_depth_block_first
|
|
IE_GPU.space_to_depth_depth_first
|
|
IE_GPU.depth_to_space_block_first
|
|
IE_GPU.depth_to_space_depth_first
|
|
IE_GPU.normalize_across_chw_4d
|
|
IE_GPU.normalize_across_h_4d
|
|
IE_GPU.normalize_across_c_2x2_shape
|
|
IE_GPU.normalize_across_c_2x4_shape
|
|
IE_GPU.fused_clamp
|
|
IE_GPU.grn_4d
|
|
IE_GPU.squeeze
|
|
IE_GPU.squared_difference
|
|
IE_GPU.function_name
|
|
IE_GPU.floor
|
|
IE_GPU.exp
|
|
IE_GPU.dynamic_axpy
|
|
IE_GPU.divide
|
|
IE_GPU.divide_overload
|
|
IE_GPU.divide_by_zero_float32
|
|
IE_GPU.cosh
|
|
IE_GPU.cos
|
|
IE_GPU.convert_int32_float32
|
|
IE_GPU.concat_negative_axis
|
|
IE_GPU.concat_matrix_colwise
|
|
IE_GPU.concat_matrix_rowwise
|
|
IE_GPU.concat_vector
|
|
IE_GPU.concat_4d_tensor
|
|
IE_GPU.concat_2d_tensor
|
|
IE_GPU.concat_in_place_2d_tensor
|
|
IE_GPU.concat_in_place_propagate_2d_tensor
|
|
IE_GPU.concat_in_place_tree_1
|
|
IE_GPU.concat_in_place_tree_2
|
|
IE_GPU.concat_in_place_tree_3
|
|
IE_GPU.concat_in_place_add_concat
|
|
IE_GPU.concat_in_place_add_concat_2
|
|
IE_GPU.concat_5d
|
|
IE_GPU.broadcast_vector_colwise
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IE_GPU.broadcast_vector_rowwise
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IE_GPU.broadcast_scalar_to_matrix_int32
|
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IE_GPU.broadcast_algo_vector_forward_2
|
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IE_GPU.broadcast_algo_vector_backward_2
|
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IE_GPU.broadcast_algo_3d_backward
|
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IE_GPU.broadcast_algo_3d_stride_1
|
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IE_GPU.broadcast_algo_3d_stride_2
|
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IE_GPU.broadcast_matrix_0
|
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IE_GPU.broadcast_matrix_1
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IE_GPU.broadcast_matrix_2
|
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IE_GPU.atan
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IE_GPU.asin
|
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IE_GPU.add
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IE_GPU.add_overload
|
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IE_GPU.add_in_place
|
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IE_GPU.acos
|
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IE_GPU.abs
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IE_GPU.abc
|
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IE_GPU.max_pool_2d_1channel_1image_padded
|
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IE_GPU/concat_vector_params.concat_vector_large
|
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IE_GPU/FlattenTest.flatten
|
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IE_GPU.onnx_model_conv2d_strides_padding
|
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IE_GPU.onnx_model_conv2d_strides_no_padding
|
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IE_GPU.onnx_model_conv2d_strides_assymetric_padding
|
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IE_GPU.onnx_model_conv2d_dilation_assymetric_pads_strides
|
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IE_GPU.onnx_model_conv3d_bias
|
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IE_GPU.onnx_model_global_lp_pool_p2
|
|
IE_GPU.onnx_model_global_lp_pool_p3
|
|
IE_GPU.onnx_model_mean_opset1
|
|
IE_GPU.onnx_model_mean
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IE_GPU.onnx_model_reduce_l2
|
|
IE_GPU.onnx_model_acosh
|
|
IE_GPU.onnx_model_asinh
|
|
IE_GPU.onnx_model_hardmax
|
|
IE_GPU.onnx_model_lp_norm_p2
|
|
IE_GPU.onnx_model_lp_norm_default
|
|
IE_GPU.onnx_model_instance_normalization
|
|
IE_GPU.onnx_model_instance_normalization_dyn_shape
|
|
IE_GPU.onnx_model_instance_normalization_dyn_shape2
|
|
IE_GPU.onnx_dyn_shapes_model_acosh_1_3
|
|
IE_GPU.onnx_dyn_shapes_model_acosh_3_2
|
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IE_GPU.onnx_dyn_shapes_model_asinh_1_3
|
|
IE_GPU.onnx_dyn_shapes_model_asinh_3_2
|
|
# IE_GPU.onnx_upsample9_scales_input_nearest_infer
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|
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IE_GPU.sum_matrix_6d
|
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IE_GPU.sqrt
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IE_GPU.gather_scalar_indices_no_axis_2d_input
|
|
IE_GPU.gather_scalar_indices_axis_1_2d_input
|
|
IE_GPU.group_conv_groups_included_in_shape
|
|
IE_GPU.squared_difference_broadcast
|
|
IE_GPU.depth_to_space_space_to_depth_block_first
|
|
IE_GPU.depth_to_space_space_to_depth_depth_first
|
|
IE_GPU.convolution_outlining
|
|
IE_GPU.convolution_simple
|
|
IE_GPU.computation_reuse
|
|
IE_GPU.backwards_cos
|
|
IE_GPU.backwards_log
|
|
IE_GPU.topk_1d_max_all
|
|
IE_GPU.topk_1d_max_partial
|
|
IE_GPU.topk_1d_max_one
|
|
IE_GPU.topk_1d_min_all
|
|
IE_GPU.topk_1d_min_partial
|
|
IE_GPU.topk_1d_min_one
|
|
IE_GPU.topk_3d_max_all
|
|
IE_GPU.topk_5d_max_partial
|
|
IE_GPU.topk_3d_max_partial
|
|
IE_GPU.topk_3d_max_one
|
|
IE_GPU.topk_3d_min_all
|
|
IE_GPU.topk_3d_min_partial
|
|
IE_GPU.topk_3d_min_one
|
|
IE_GPU.topk_2d_max_all
|
|
IE_GPU.topk_2d_max_partial
|
|
IE_GPU.topk_2d_max_one
|
|
IE_GPU.topk_2d_max_one_with_equal_values
|
|
IE_GPU.topk_2d_min_all
|
|
IE_GPU.topk_2d_min_partial
|
|
IE_GPU.topk_2d_min_one
|
|
IE_GPU.topk_3d_large_input_max
|
|
IE_GPU.topk_3d_large_input_min
|
|
IE_GPU.topk_3d_single_output
|
|
IE_GPU.batch_norm_inference_0eps_f32
|
|
IE_GPU.batch_norm_inference_f32
|
|
IE_GPU.create_tensor_1
|
|
IE_GPU.matmul_2x2_2x2
|
|
IE_GPU.matmul_2x3_3x3
|
|
IE_GPU.matmul_3x2_3x3_transpose
|
|
IE_GPU.matmul_3x2_2x3_transpose
|
|
|
|
# Unsupported collapse op with dynamic shape
|
|
IE_GPU.builder_opset1_collapse_dyn_shape
|
|
|
|
IE_GPU.onnx_model_fake_quantize_const_inputs_infer
|
|
IE_GPU.onnx_model_fake_quantize_nonconst_inputs_infer
|
|
|
|
# ONNX Loop
|
|
onnx_controlflow_loop_2d_add_execution
|
|
|
|
# ONNX Loop - tests disabled temporarily
|
|
onnx_controlflow_loop_2d_add_check_model
|
|
onnx_controlflow_loop_scalars_check_model
|
|
onnx_controlflow_loop_add_initializer_from_parent_scope
|
|
onnx_controlflow_loop_add_input_from_parent_scope
|
|
onnx_controlflow_loop_add_node_from_parent_scope
|
|
onnx_controlflow_loop_add_value_access_to_body_scope_exception
|
|
onnx_controlflow_loop_add_value_the_same_node_from_parent_and_subgraph
|
|
onnx_controlflow_loop_2d_add_exception_if_no_identity_cond
|
|
onnx_controlflow_loop_2d_add_const_cond
|