Modify check_inputs for unit tests with PlaidML backend (#3095)

* make check_inputs check for input_count >= expected_input_count

* scrub unit test manifest after check_inputs change

src/ngraph/runtime/plaidml/plaidml_impl.hpp

@@ -76,11 +76,11 @@ namespace ngraph
                 // input count.
                 void check_inputs(std::size_t expected_input_count) const
                 {
-                    if (op().get_input_size() != expected_input_count)
+                    if (op().get_input_size() < expected_input_count)
                     {
                         std::ostringstream os;
                         os << "The PlaidML nGraph backend only supports " << op().description()
-                           << " operations with an input count == " << expected_input_count
+                           << " operations with an input count >= " << expected_input_count
                            << " (got " << op().get_input_size() << " inputs)";
                         throw std::runtime_error{os.str()};
                     }

src/ngraph/runtime/plaidml/unit_test.manifest

@@ -261,92 +261,25 @@ batch_mat_mul_forward
 dot_matrix_2x0_0x2
 
 # dgkutnic ww24.5: these tests are to be triaged by the PlaidML team
-
-convolution_3d_1item_large_5o3i_padded_uneven_filter_uneven_data_dilation_data_dilated
-select
-product_trivial
-product_trivial_5d
-product_to_scalar
-product_matrix_columns
-product_matrix_rows
-product_3d_to_matrix_most_sig
-product_3d_to_matrix_least_sig
-product_3d_to_vector
-product_3d_to_scalar
-product_2d_to_scalar_int32
-product_to_scalar_int32
-product_to_scalar_int8
-max_trivial
-max_trivial_5d
-max_to_scalar
-max_to_scalar_int8
-max_matrix_columns
-max_matrix_rows
-max_matrix_rows_int32
-max_3d_to_matrix_most_sig
-max_3d_to_matrix_least_sig
-max_3d_to_vector
-max_3d_to_scalar
-max_3d_to_scalar_int32
-min_trivial
-min_trivial_5d
-min_trivial_5d_int32
-min_to_scalar
-min_to_scalar_int8
-min_matrix_columns
-min_matrix_rows
-min_matrix_rows_int32
-min_3d_to_matrix_most_sig
-min_3d_to_matrix_least_sig
-min_3d_to_vector
-min_3d_to_scalar
-min_3d_to_scalar_int32
-sum_to_scalar
+# ww25.2: re-scrubbed this list of tests after fixing check_inputs
+# initial debug points to some of these failing due to precision issues
+sqrt
+batch_norm_inference_0eps_f32
+batch_norm_inference_f32
+batch_norm_training_0eps_f32
+argmin_trivial
+argmax_trivial
+argmin_trivial_in_i32
 sum_large_1d_to_scalar
-sum_matrix_columns
-sum_matrix_6d
-sum_matrix_rows
-sum_3d_to_matrix_most_sig
-sum_3d_to_matrix_least_sig
-sum_3d_to_vector
-sum_3d_to_scalar
-sum_3d_to_scalar_int32
-sum_5d_to_scalar
-sum_5d_to_scalar_int32
-sum_2d_to_scalar_int8
 sum_stable_acc
-sum_stable_simple_float
+one_hot_scalar_2_in_3
+one_hot_scalar_1_in_3
+one_hot_scalar_0_in_3
+lstm_cell_no_bias_no_peepholes
+lstm_cell_bias_peepholes
+lstm_cell_bias_peepholes_clip_input_forget
+lstm_cell_activaction_functions
+group_conv_transpose
+group_conv_transpose_output_shape
 divide_python_rounding_int32
-any_2x2_to_scalar_true
-any_2x2_to_scalar_false
-any_2x3_eliminate_col_dim
-any_2x3_eliminate_row_dim
-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_trivial
-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
-backwards_broadcast0
-backwards_broadcast1
-backwards_select
-backwards_select_nested
-backwards_sum_v2s
-backwards_sum_m2s
-backwards_sum_m2v_0
-backwards_sum_m2v_1
 backwards_batchmatmul_tensor2_tensor2