Add additional dynamic dimension.
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@ -53,11 +53,11 @@ func @test_matmul_4(%arg0 : tensor<64x42xf32>, %arg1 : tensor<?x?x?x?xf32>) -> t
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}
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/// MatMul: K1-D x K2-D (K1 > 2, K2 > 2)
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func @test_matmul_5(%arg0 : tensor<16x?x64x42xf32>, %arg1 : tensor<32x?x64x42x32xf32>) -> tensor<*xf32> {
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%0 = "onnx.MatMul"(%arg0, %arg1) : (tensor<16x?x64x42xf32>, tensor<32x?x64x42x32xf32>) -> tensor<*xf32>
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func @test_matmul_5(%arg0 : tensor<16x?x?x42xf32>, %arg1 : tensor<32x?x64x42x32xf32>) -> tensor<*xf32> {
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%0 = "onnx.MatMul"(%arg0, %arg1) : (tensor<16x?x?x42xf32>, tensor<32x?x64x42x32xf32>) -> tensor<*xf32>
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"std.return"(%0) : (tensor<*xf32>) -> ()
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// CHECK-LABEL: test_matmul_5
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// CHECK: [[RES5:%.+]] = "onnx.MatMul"(%arg0, %arg1) : (tensor<16x?x64x42xf32>, tensor<32x?x64x42x32xf32>) -> tensor<32x16x64x64x32xf32>
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// CHECK: return [[RES5]] : tensor<32x16x64x64x32xf32>
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// CHECK: [[RES5:%.+]] = "onnx.MatMul"(%arg0, %arg1) : (tensor<16x?x?x42xf32>, tensor<32x?x64x42x32xf32>) -> tensor<32x16x64x?x32xf32>
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// CHECK: return [[RES5]] : tensor<32x16x64x?x32xf32>
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}
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