Merge pull request #3148 from NervanaSystems/tomdol/plaidml_r0.23

Decomposition of fused ops in PlaidML backend [r0.23]

src/ngraph/runtime/plaidml/plaidml_compiler.cpp

@@ -20,6 +20,7 @@
 #include "ngraph/pass/algebraic_simplification.hpp"
 #include "ngraph/pass/core_fusion.hpp"
 #include "ngraph/pass/cse.hpp"
+#include "ngraph/pass/fused_op_decomposition.hpp"
 #include "ngraph/pass/get_output_element_elimination.hpp"
 #include "ngraph/pass/like_replacement.hpp"
 #include "ngraph/pass/liveness.hpp"
@@ -87,6 +88,7 @@ std::shared_ptr<ngraph::runtime::plaidml::PlaidML_Executable>
     ngraph::pass::Manager pass_manager;
 
     // We apply the same general-purposes passes as the CPU backend.
+    pass_manager.register_pass<ngraph::pass::FusedOpDecomposition>();
     pass_manager.register_pass<ngraph::pass::LikeReplacement>();
     pass_manager.register_pass<ngraph::pass::NopElimination>();
     pass_manager.register_pass<ngraph::pass::ZeroDimTensorElimination>();

src/ngraph/runtime/plaidml/unit_test.manifest

@@ -253,3 +253,29 @@ group_conv_transpose
 group_conv_transpose_output_shape
 divide_python_rounding_int32
 backwards_batchmatmul_tensor2_tensor2
+
+# unsupported ops: 'QuantizedConvolution', 'QuantizedDot', 'TopK', 'Erf', 'EmbeddingLookup'
+model_quant_conv_linear
+model_conv_integer_no_zero_point
+model_matmul_integer_no_zero_point
+model_matmul_integer_4d_no_zero_point
+model_top_k
+model_erf
+model_erf_int32
+model_hardmax
+
+# node validation error: "Argument shapes are inconsistent."
+model_lstm_fwd_with_clip
+model_lstm_fwd_mixed_seq
+model_lstm_fwd_hardsigmoid_activation
+model_reduce_log_sum
+model_reduce_log_sum_exp
+model_reduce_mean
+
+# result mismatch
+model_dequantize_linear_scalar_zero_scale_int8
+model_softmax
+avg_pool_3d_uneven_strided_padded
+rnn_cell_activation_function
+gru_cell_bias_clip
+gru_cell_linear_before_reset