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RoboTuxRoboTux
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[MLIR][TOSA] Fix Conv3D bias dim check (#137296)
verifyConvOpErrorIf() assumes output channel is the 4th dimension of the output type but this is wrong for conv3d which now uses that verifier. Use rank - 1 which works accross the operations using this verifier (conv2d, conv3d and depthwise_conv3d).
1 parent 8c7a2ce commit 12a3165

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7 files changed

+28
-27
lines changed

7 files changed

+28
-27
lines changed

‎mlir/lib/Dialect/Tosa/IR/TosaOps.cpp‎

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -558,7 +558,8 @@ static LogicalResult verifyConvOpErrorIf(T op) {
558558
return success();
559559

560560
const int64_t biasChannels = biasType.getDimSize(0);
561-
const int64_t outputChannels = outputType.getDimSize(3);
561+
const int64_t outputChannels =
562+
outputType.getDimSize(outputType.getRank() - 1);
562563
if (biasChannels == ShapedType::kDynamic ||
563564
outputChannels == ShapedType::kDynamic)
564565
// Skip following checks if biasChannels or outputChannels is dynamic dim

‎mlir/test/Dialect/Tosa/availability.mlir‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -38,12 +38,12 @@ func.func @test_conv2d(%arg0: tensor<1x4x4x4xf32>, %arg1: tensor<8x1x1x4xf32>, %
3838

3939
// -----
4040
// CHECK-LABEL: conv3d
41-
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xf32>, %arg1: tensor<34x1x1x1x17xf32>, %arg2: tensor<21xf32>) -> tensor<1x4x8x21x34xf32> {
41+
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xf32>, %arg1: tensor<34x1x1x1x17xf32>, %arg2: tensor<34xf32>) -> tensor<1x4x8x21x34xf32> {
4242
// CHECK: profiles: [ [pro_int, pro_fp] ]
4343
// CHECK: extensions: [ [int4, int16, fp8e4m3, fp8e5m2, bf16] ]
4444
%input_zp = "tosa.const"() <{values = dense<0.0> : tensor<1xf32>}> : () -> tensor<1xf32>
4545
%weight_zp = "tosa.const"() <{values = dense<0.0> : tensor<1xf32>}> : () -> tensor<1xf32>
46-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %input_zp, %weight_zp {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf32>, tensor<34x1x1x1x17xf32>, tensor<21xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1x4x8x21x34xf32>
46+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %input_zp, %weight_zp {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf32>, tensor<34x1x1x1x17xf32>, tensor<34xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1x4x8x21x34xf32>
4747
return %0 : tensor<1x4x8x21x34xf32>
4848
}
4949

‎mlir/test/Dialect/Tosa/invalid_extension.mlir‎

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -26,9 +26,9 @@ func.func @test_conv2d(%arg0: tensor<1x4x4x4xi8>, %arg1: tensor<8x1x1x4xi4>, %ar
2626
}
2727

2828
// -----
29-
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xi16>, %arg1: tensor<34x1x1x1x17xi8>, %arg2: tensor<21xi48>, %arg3: tensor<1xi16>, %arg4: tensor<1xi8>) -> tensor<1x4x8x21x34xi48> {
29+
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xi16>, %arg1: tensor<34x1x1x1x17xi8>, %arg2: tensor<34xi48>, %arg3: tensor<1xi16>, %arg4: tensor<1xi8>) -> tensor<1x4x8x21x34xi48> {
3030
// expected-error@+1 {{'tosa.conv3d' op illegal: requires [int16] but not enabled in target}}
31-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = i48, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xi16>, tensor<34x1x1x1x17xi8>, tensor<21xi48>, tensor<1xi16>, tensor<1xi8>) -> tensor<1x4x8x21x34xi48>
31+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = i48, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xi16>, tensor<34x1x1x1x17xi8>, tensor<34xi48>, tensor<1xi16>, tensor<1xi8>) -> tensor<1x4x8x21x34xi48>
3232
return %0 : tensor<1x4x8x21x34xi48>
3333
}
3434

@@ -445,10 +445,10 @@ func.func @test_conv2d_non_const_input_zp(%arg0: tensor<1x4x4x4xi8>, %arg1: tens
445445

446446
// -----
447447

448-
func.func @test_conv3d_non_const_weight_zp(%arg0: tensor<1x4x8x21x17xi8>, %arg1: tensor<34x1x1x1x17xi8>, %arg2: tensor<21xi32>, %arg3: tensor<1xi8>) -> tensor<1x4x8x21x34xi32> {
448+
func.func @test_conv3d_non_const_weight_zp(%arg0: tensor<1x4x8x21x17xi8>, %arg1: tensor<34x1x1x1x17xi8>, %arg2: tensor<34xi32>, %arg3: tensor<1xi8>) -> tensor<1x4x8x21x34xi32> {
449449
%input_zp = "tosa.const"() {values = dense<0> : tensor<1xi8> } : () -> tensor<1xi8>
450450
// expected-error@+1 {{'tosa.conv3d' op expected compile time resolvable constant, but got variable value for operand #4}}
451-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %input_zp, %arg3 {acc_type = i32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xi8>, tensor<34x1x1x1x17xi8>, tensor<21xi32>, tensor<1xi8>, tensor<1xi8>) -> tensor<1x4x8x21x34xi32>
451+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %input_zp, %arg3 {acc_type = i32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xi8>, tensor<34x1x1x1x17xi8>, tensor<34xi32>, tensor<1xi8>, tensor<1xi8>) -> tensor<1x4x8x21x34xi32>
452452
return %0 : tensor<1x4x8x21x34xi32>
453453
}
454454

‎mlir/test/Dialect/Tosa/ops.mlir‎

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -104,15 +104,15 @@ func.func @test_conv2d_q8xi4(%arg0: tensor<1x11x11x3xi8>) -> tensor<1x1x1x3xi8>
104104

105105
// -----
106106
// CHECK-LABEL: conv3d
107-
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xf32>, %arg1: tensor<34x1x1x1x17xf32>, %arg2: tensor<21xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) -> tensor<1x4x8x21x34xf32> {
108-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf32>, tensor<34x1x1x1x17xf32>, tensor<21xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1x4x8x21x34xf32>
107+
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xf32>, %arg1: tensor<34x1x1x1x17xf32>, %arg2: tensor<34xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) -> tensor<1x4x8x21x34xf32> {
108+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf32>, tensor<34x1x1x1x17xf32>, tensor<34xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1x4x8x21x34xf32>
109109
return %0 : tensor<1x4x8x21x34xf32>
110110
}
111111

112112
// -----
113113
// CHECK-LABEL: conv3d_with_local_bound
114-
func.func @test_conv3d_with_local_bound(%arg0: tensor<1x4x8x21x17xf32>, %arg1: tensor<34x1x1x1x17xf32>, %arg2: tensor<21xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) -> tensor<1x4x8x21x34xf32> {
115-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>, local_bound = true} : (tensor<1x4x8x21x17xf32>, tensor<34x1x1x1x17xf32>, tensor<21xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1x4x8x21x34xf32>
114+
func.func @test_conv3d_with_local_bound(%arg0: tensor<1x4x8x21x17xf32>, %arg1: tensor<34x1x1x1x17xf32>, %arg2: tensor<34xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) -> tensor<1x4x8x21x34xf32> {
115+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>, local_bound = true} : (tensor<1x4x8x21x17xf32>, tensor<34x1x1x1x17xf32>, tensor<34xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1x4x8x21x34xf32>
116116
return %0 : tensor<1x4x8x21x34xf32>
117117
}
118118

@@ -823,8 +823,8 @@ func.func @test_conv2d_f8E5M2(%arg0: tensor<1x4x4x4xf8E5M2>, %arg1: tensor<8x1x1
823823

824824
// -----
825825
// CHECK-LABEL: conv3d_f8E5M2
826-
func.func @test_conv3d_f8E5M2(%arg0: tensor<1x4x8x21x17xf8E5M2>, %arg1: tensor<34x1x1x1x17xf8E5M2>, %arg2: tensor<21xf16>, %arg3: tensor<1xf8E5M2>, %arg4: tensor<1xf8E5M2>) -> tensor<1x4x8x21x34xf16> {
827-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f16, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf8E5M2>, tensor<34x1x1x1x17xf8E5M2>, tensor<21xf16>, tensor<1xf8E5M2>, tensor<1xf8E5M2>) -> tensor<1x4x8x21x34xf16>
826+
func.func @test_conv3d_f8E5M2(%arg0: tensor<1x4x8x21x17xf8E5M2>, %arg1: tensor<34x1x1x1x17xf8E5M2>, %arg2: tensor<34xf16>, %arg3: tensor<1xf8E5M2>, %arg4: tensor<1xf8E5M2>) -> tensor<1x4x8x21x34xf16> {
827+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f16, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf8E5M2>, tensor<34x1x1x1x17xf8E5M2>, tensor<34xf16>, tensor<1xf8E5M2>, tensor<1xf8E5M2>) -> tensor<1x4x8x21x34xf16>
828828
return %0 : tensor<1x4x8x21x34xf16>
829829
}
830830

@@ -968,8 +968,8 @@ func.func @test_conv2d_f8E4M3FN(%arg0: tensor<1x4x4x4xf8E4M3FN>, %arg1: tensor<8
968968

969969
// -----
970970
// CHECK-LABEL: conv3d_f8E4M3FN
971-
func.func @test_conv3d_f8E4M3FN(%arg0: tensor<1x4x8x21x17xf8E4M3FN>, %arg1: tensor<34x1x1x1x17xf8E4M3FN>, %arg2: tensor<21xf16>, %arg3: tensor<1xf8E4M3FN>, %arg4: tensor<1xf8E4M3FN>) -> tensor<1x4x8x21x34xf16> {
972-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f16, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf8E4M3FN>, tensor<34x1x1x1x17xf8E4M3FN>, tensor<21xf16>, tensor<1xf8E4M3FN>, tensor<1xf8E4M3FN>) -> tensor<1x4x8x21x34xf16>
971+
func.func @test_conv3d_f8E4M3FN(%arg0: tensor<1x4x8x21x17xf8E4M3FN>, %arg1: tensor<34x1x1x1x17xf8E4M3FN>, %arg2: tensor<34xf16>, %arg3: tensor<1xf8E4M3FN>, %arg4: tensor<1xf8E4M3FN>) -> tensor<1x4x8x21x34xf16> {
972+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f16, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf8E4M3FN>, tensor<34x1x1x1x17xf8E4M3FN>, tensor<34xf16>, tensor<1xf8E4M3FN>, tensor<1xf8E4M3FN>) -> tensor<1x4x8x21x34xf16>
973973
return %0 : tensor<1x4x8x21x34xf16>
974974
}
975975

‎mlir/test/Dialect/Tosa/profile_pro_fp_unsupported.mlir‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -33,9 +33,9 @@ func.func @test_conv2d(%arg0: tensor<1x4x4x4xf32>, %arg1: tensor<8x1x1x4xf32>, %
3333
}
3434

3535
// -----
36-
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xf16>, %arg1: tensor<34x1x1x1x17xf16>, %arg2: tensor<21xf16>, %arg3: tensor<1xf16>, %arg4: tensor<1xf16>) -> tensor<1x4x8x21x34xf16> {
36+
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xf16>, %arg1: tensor<34x1x1x1x17xf16>, %arg2: tensor<34xf16>, %arg3: tensor<1xf16>, %arg4: tensor<1xf16>) -> tensor<1x4x8x21x34xf16> {
3737
// expected-error@+1 {{'tosa.conv3d' op illegal: requires [pro_fp] but not enabled in target}}
38-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf16>, tensor<34x1x1x1x17xf16>, tensor<21xf16>, tensor<1xf16>, tensor<1xf16>) -> tensor<1x4x8x21x34xf16>
38+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xf16>, tensor<34x1x1x1x17xf16>, tensor<34xf16>, tensor<1xf16>, tensor<1xf16>) -> tensor<1x4x8x21x34xf16>
3939
return %0 : tensor<1x4x8x21x34xf16>
4040
}
4141

‎mlir/test/Dialect/Tosa/profile_pro_int_unsupported.mlir‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -38,9 +38,9 @@ func.func @test_conv2d(%arg0: tensor<1x4x4x4xi8>, %arg1: tensor<8x1x1x4xi8>, %ar
3838
}
3939

4040
// -----
41-
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xi8>, %arg1: tensor<34x1x1x1x17xi8>, %arg2: tensor<21xi32>, %arg3: tensor<1xi8>, %arg4: tensor<1xi8>) -> tensor<1x4x8x21x34xi32> {
41+
func.func @test_conv3d(%arg0: tensor<1x4x8x21x17xi8>, %arg1: tensor<34x1x1x1x17xi8>, %arg2: tensor<34xi32>, %arg3: tensor<1xi8>, %arg4: tensor<1xi8>) -> tensor<1x4x8x21x34xi32> {
4242
// expected-error@+1 {{'tosa.conv3d' op illegal: requires [pro_int] but not enabled in target}}
43-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = i32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xi8>, tensor<34x1x1x1x17xi8>, tensor<21xi32>, tensor<1xi8>, tensor<1xi8>) -> tensor<1x4x8x21x34xi32>
43+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = i32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<1x4x8x21x17xi8>, tensor<34x1x1x1x17xi8>, tensor<34xi32>, tensor<1xi8>, tensor<1xi8>) -> tensor<1x4x8x21x34xi32>
4444
return %0 : tensor<1x4x8x21x34xi32>
4545
}
4646

‎mlir/test/Dialect/Tosa/tosa-infer-shapes.mlir‎

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -824,18 +824,18 @@ func.func @conv2d_strided(%input: tensor<1x13x15x1xf32>, %weights: tensor<1x1x1x
824824
// -----
825825

826826
// CHECK-LABEL: @conv3d_static
827-
func.func @conv3d_static(%input: tensor<2x8x9x10x3xf32>, %weights: tensor<5x3x6x4x3xf32>, %bias: tensor<7xf32>, %input_zp: tensor<1xf32>, %weight_zp: tensor<1xf32>) -> () {
827+
func.func @conv3d_static(%input: tensor<2x8x9x10x3xf32>, %weights: tensor<5x3x6x4x3xf32>, %bias: tensor<5xf32>, %input_zp: tensor<1xf32>, %weight_zp: tensor<1xf32>) -> () {
828828
// CHECK: -> tensor<2x6x4x7x5xf32>
829-
%0 = tosa.conv3d %input, %weights, %bias, %input_zp, %weight_zp {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<2x8x9x10x3xf32>, tensor<5x3x6x4x3xf32>, tensor<7xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<?x?x?x?x?xf32>
829+
%0 = tosa.conv3d %input, %weights, %bias, %input_zp, %weight_zp {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<2x8x9x10x3xf32>, tensor<5x3x6x4x3xf32>, tensor<5xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<?x?x?x?x?xf32>
830830
return
831831
}
832832

833833
// -----
834834

835835
// CHECK-LABEL: @conv3d_dynamic_input
836-
func.func @conv3d_dynamic_input(%arg0: tensor<?x?x?x?x?xf32>, %arg1: tensor<5x3x6x4x3xf32>, %arg2: tensor<7xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) {
836+
func.func @conv3d_dynamic_input(%arg0: tensor<?x?x?x?x?xf32>, %arg1: tensor<5x3x6x4x3xf32>, %arg2: tensor<5xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) {
837837
// CHECK: -> tensor<?x?x?x?x5xf32>
838-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<?x?x?x?x?xf32>, tensor<5x3x6x4x3xf32>, tensor<7xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<?x?x?x?x?xf32>
838+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<?x?x?x?x?xf32>, tensor<5x3x6x4x3xf32>, tensor<5xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<?x?x?x?x?xf32>
839839
return
840840
}
841841

@@ -860,18 +860,18 @@ func.func @conv3d_dynamic_bias(%arg0: tensor<2x8x9x10x3xf32>, %arg1: tensor<5x3x
860860
// -----
861861

862862
// CHECK-LABEL: @conv3d_padded
863-
func.func @conv3d_padded(%arg0: tensor<2x8x9x10x3xf32>, %arg1: tensor<5x3x6x4x3xf32>, %arg2: tensor<18xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) {
863+
func.func @conv3d_padded(%arg0: tensor<2x8x9x10x3xf32>, %arg1: tensor<5x3x6x4x3xf32>, %arg2: tensor<5xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) {
864864
// CHECK: -> tensor<2x9x11x18x5xf32>
865-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 1, 2, 3, 4, 5, 6>, stride = array<i64: 1, 1, 1>} : (tensor<2x8x9x10x3xf32>, tensor<5x3x6x4x3xf32>, tensor<18xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<?x?x?x?x?xf32>
865+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 1, 1, 1>, pad = array<i64: 1, 2, 3, 4, 5, 6>, stride = array<i64: 1, 1, 1>} : (tensor<2x8x9x10x3xf32>, tensor<5x3x6x4x3xf32>, tensor<5xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<?x?x?x?x?xf32>
866866
return
867867
}
868868

869869
// -----
870870

871871
// CHECK-LABEL: @conv3d_dilated
872-
func.func @conv3d_dilated(%arg0: tensor<2x12x14x16x3xf32>, %arg1: tensor<5x3x6x2x3xf32>, %arg2: tensor<12xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) {
872+
func.func @conv3d_dilated(%arg0: tensor<2x12x14x16x3xf32>, %arg1: tensor<5x3x6x2x3xf32>, %arg2: tensor<5xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) {
873873
// CHECK: -> tensor<2x6x4x12x5xf32>
874-
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 3, 2, 4>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<2x12x14x16x3xf32>, tensor<5x3x6x2x3xf32>, tensor<12xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<?x?x?x?x?xf32>
874+
%0 = tosa.conv3d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, dilation = array<i64: 3, 2, 4>, pad = array<i64: 0, 0, 0, 0, 0, 0>, stride = array<i64: 1, 1, 1>} : (tensor<2x12x14x16x3xf32>, tensor<5x3x6x2x3xf32>, tensor<5xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<?x?x?x?x?xf32>
875875
return
876876
}
877877

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