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restructure entire gemm benchmarking and remove all vmfbs from git repo
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@@ -23,7 +23,8 @@ wheelhouse | |
*.egg-info | ||
*.whl | ||
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# Gemm Bench | ||
# Bench Artifacts | ||
gemm/vmfb/ | ||
attention/vmfb/ | ||
conv/vmfb/ | ||
results/ | ||
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@@ -1,10 +1,10 @@ | ||
|
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module { | ||
func.func @main_0(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x16xbf16>) -> tensor<10240x16xbf16> { | ||
func.func @main(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x16xbf16>) -> tensor<10240x16xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<10240x16xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<10240x16xbf16>) -> tensor<10240x16xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xbf16>, tensor<8192x16xbf16>) outs(%1 : tensor<10240x16xbf16>) -> tensor<10240x16xbf16> | ||
return %2 : tensor<10240x16xbf16> | ||
} | ||
} | ||
} |
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@@ -1,10 +1,10 @@ | ||
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module { | ||
func.func @main_0(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x16xf16>) -> tensor<10240x16xf16> { | ||
func.func @main(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x16xf16>) -> tensor<10240x16xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<10240x16xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<10240x16xf16>) -> tensor<10240x16xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xf16>, tensor<8192x16xf16>) outs(%1 : tensor<10240x16xf16>) -> tensor<10240x16xf16> | ||
return %2 : tensor<10240x16xf16> | ||
} | ||
} | ||
} |
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@@ -1,10 +1,10 @@ | ||
|
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module { | ||
func.func @main_0(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x1xbf16>) -> tensor<10240x1xbf16> { | ||
func.func @main(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x1xbf16>) -> tensor<10240x1xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<10240x1xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<10240x1xbf16>) -> tensor<10240x1xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xbf16>, tensor<8192x1xbf16>) outs(%1 : tensor<10240x1xbf16>) -> tensor<10240x1xbf16> | ||
return %2 : tensor<10240x1xbf16> | ||
} | ||
} | ||
} |
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@@ -1,10 +1,10 @@ | ||
|
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module { | ||
func.func @main_0(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x1xf16>) -> tensor<10240x1xf16> { | ||
func.func @main(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x1xf16>) -> tensor<10240x1xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<10240x1xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<10240x1xf16>) -> tensor<10240x1xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xf16>, tensor<8192x1xf16>) outs(%1 : tensor<10240x1xf16>) -> tensor<10240x1xf16> | ||
return %2 : tensor<10240x1xf16> | ||
} | ||
} | ||
} |
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@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x2xbf16>) -> tensor<10240x2xbf16> { | ||
func.func @main(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x2xbf16>) -> tensor<10240x2xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<10240x2xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<10240x2xbf16>) -> tensor<10240x2xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xbf16>, tensor<8192x2xbf16>) outs(%1 : tensor<10240x2xbf16>) -> tensor<10240x2xbf16> | ||
return %2 : tensor<10240x2xbf16> | ||
} | ||
} | ||
} |
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---|---|---|
@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x2xf16>) -> tensor<10240x2xf16> { | ||
func.func @main(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x2xf16>) -> tensor<10240x2xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<10240x2xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<10240x2xf16>) -> tensor<10240x2xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xf16>, tensor<8192x2xf16>) outs(%1 : tensor<10240x2xf16>) -> tensor<10240x2xf16> | ||
return %2 : tensor<10240x2xf16> | ||
} | ||
} | ||
} |
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---|---|---|
@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x32xbf16>) -> tensor<10240x32xbf16> { | ||
func.func @main(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x32xbf16>) -> tensor<10240x32xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<10240x32xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<10240x32xbf16>) -> tensor<10240x32xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xbf16>, tensor<8192x32xbf16>) outs(%1 : tensor<10240x32xbf16>) -> tensor<10240x32xbf16> | ||
return %2 : tensor<10240x32xbf16> | ||
} | ||
} | ||
} |
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---|---|---|
@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x32xf16>) -> tensor<10240x32xf16> { | ||
func.func @main(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x32xf16>) -> tensor<10240x32xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<10240x32xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<10240x32xf16>) -> tensor<10240x32xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xf16>, tensor<8192x32xf16>) outs(%1 : tensor<10240x32xf16>) -> tensor<10240x32xf16> | ||
return %2 : tensor<10240x32xf16> | ||
} | ||
} | ||
} |
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---|---|---|
@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x4xbf16>) -> tensor<10240x4xbf16> { | ||
func.func @main(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x4xbf16>) -> tensor<10240x4xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<10240x4xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<10240x4xbf16>) -> tensor<10240x4xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xbf16>, tensor<8192x4xbf16>) outs(%1 : tensor<10240x4xbf16>) -> tensor<10240x4xbf16> | ||
return %2 : tensor<10240x4xbf16> | ||
} | ||
} | ||
} |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x4xf16>) -> tensor<10240x4xf16> { | ||
func.func @main(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x4xf16>) -> tensor<10240x4xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<10240x4xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<10240x4xf16>) -> tensor<10240x4xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xf16>, tensor<8192x4xf16>) outs(%1 : tensor<10240x4xf16>) -> tensor<10240x4xf16> | ||
return %2 : tensor<10240x4xf16> | ||
} | ||
} | ||
} |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x8xbf16>) -> tensor<10240x8xbf16> { | ||
func.func @main(%arg0: tensor<8192x10240xbf16>, %arg1: tensor<8192x8xbf16>) -> tensor<10240x8xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<10240x8xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<10240x8xbf16>) -> tensor<10240x8xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xbf16>, tensor<8192x8xbf16>) outs(%1 : tensor<10240x8xbf16>) -> tensor<10240x8xbf16> | ||
return %2 : tensor<10240x8xbf16> | ||
} | ||
} | ||
} |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x8xf16>) -> tensor<10240x8xf16> { | ||
func.func @main(%arg0: tensor<8192x10240xf16>, %arg1: tensor<8192x8xf16>) -> tensor<10240x8xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<10240x8xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<10240x8xf16>) -> tensor<10240x8xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x10240xf16>, tensor<8192x8xf16>) outs(%1 : tensor<10240x8xf16>) -> tensor<10240x8xf16> | ||
return %2 : tensor<10240x8xf16> | ||
} | ||
} | ||
} |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x16xbf16>) -> tensor<1280x16xbf16> { | ||
func.func @main(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x16xbf16>) -> tensor<1280x16xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<1280x16xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<1280x16xbf16>) -> tensor<1280x16xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xbf16>, tensor<8192x16xbf16>) outs(%1 : tensor<1280x16xbf16>) -> tensor<1280x16xbf16> | ||
return %2 : tensor<1280x16xbf16> | ||
} | ||
} | ||
} |
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module { | ||
func.func @main_0(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x16xf16>) -> tensor<1280x16xf16> { | ||
func.func @main(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x16xf16>) -> tensor<1280x16xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<1280x16xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<1280x16xf16>) -> tensor<1280x16xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xf16>, tensor<8192x16xf16>) outs(%1 : tensor<1280x16xf16>) -> tensor<1280x16xf16> | ||
return %2 : tensor<1280x16xf16> | ||
} | ||
} | ||
} |
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module { | ||
func.func @main_0(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x1xbf16>) -> tensor<1280x1xbf16> { | ||
func.func @main(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x1xbf16>) -> tensor<1280x1xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<1280x1xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<1280x1xbf16>) -> tensor<1280x1xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xbf16>, tensor<8192x1xbf16>) outs(%1 : tensor<1280x1xbf16>) -> tensor<1280x1xbf16> | ||
return %2 : tensor<1280x1xbf16> | ||
} | ||
} | ||
} |
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module { | ||
func.func @main_0(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x1xf16>) -> tensor<1280x1xf16> { | ||
func.func @main(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x1xf16>) -> tensor<1280x1xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<1280x1xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<1280x1xf16>) -> tensor<1280x1xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xf16>, tensor<8192x1xf16>) outs(%1 : tensor<1280x1xf16>) -> tensor<1280x1xf16> | ||
return %2 : tensor<1280x1xf16> | ||
} | ||
} | ||
} |
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module { | ||
func.func @main_0(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x2xbf16>) -> tensor<1280x2xbf16> { | ||
func.func @main(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x2xbf16>) -> tensor<1280x2xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<1280x2xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<1280x2xbf16>) -> tensor<1280x2xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xbf16>, tensor<8192x2xbf16>) outs(%1 : tensor<1280x2xbf16>) -> tensor<1280x2xbf16> | ||
return %2 : tensor<1280x2xbf16> | ||
} | ||
} | ||
} |
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module { | ||
func.func @main_0(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x2xf16>) -> tensor<1280x2xf16> { | ||
func.func @main(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x2xf16>) -> tensor<1280x2xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<1280x2xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<1280x2xf16>) -> tensor<1280x2xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xf16>, tensor<8192x2xf16>) outs(%1 : tensor<1280x2xf16>) -> tensor<1280x2xf16> | ||
return %2 : tensor<1280x2xf16> | ||
} | ||
} | ||
} |
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module { | ||
func.func @main_0(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x32xbf16>) -> tensor<1280x32xbf16> { | ||
func.func @main(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x32xbf16>) -> tensor<1280x32xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<1280x32xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<1280x32xbf16>) -> tensor<1280x32xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xbf16>, tensor<8192x32xbf16>) outs(%1 : tensor<1280x32xbf16>) -> tensor<1280x32xbf16> | ||
return %2 : tensor<1280x32xbf16> | ||
} | ||
} | ||
} |
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module { | ||
func.func @main_0(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x32xf16>) -> tensor<1280x32xf16> { | ||
func.func @main(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x32xf16>) -> tensor<1280x32xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<1280x32xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<1280x32xf16>) -> tensor<1280x32xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xf16>, tensor<8192x32xf16>) outs(%1 : tensor<1280x32xf16>) -> tensor<1280x32xf16> | ||
return %2 : tensor<1280x32xf16> | ||
} | ||
} | ||
} |
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module { | ||
func.func @main_0(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x4xbf16>) -> tensor<1280x4xbf16> { | ||
func.func @main(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x4xbf16>) -> tensor<1280x4xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<1280x4xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<1280x4xbf16>) -> tensor<1280x4xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xbf16>, tensor<8192x4xbf16>) outs(%1 : tensor<1280x4xbf16>) -> tensor<1280x4xbf16> | ||
return %2 : tensor<1280x4xbf16> | ||
} | ||
} | ||
} |
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|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x4xf16>) -> tensor<1280x4xf16> { | ||
func.func @main(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x4xf16>) -> tensor<1280x4xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<1280x4xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<1280x4xf16>) -> tensor<1280x4xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xf16>, tensor<8192x4xf16>) outs(%1 : tensor<1280x4xf16>) -> tensor<1280x4xf16> | ||
return %2 : tensor<1280x4xf16> | ||
} | ||
} | ||
} |
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|
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module { | ||
func.func @main_0(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x8xbf16>) -> tensor<1280x8xbf16> { | ||
func.func @main(%arg0: tensor<8192x1280xbf16>, %arg1: tensor<8192x8xbf16>) -> tensor<1280x8xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<1280x8xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<1280x8xbf16>) -> tensor<1280x8xbf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xbf16>, tensor<8192x8xbf16>) outs(%1 : tensor<1280x8xbf16>) -> tensor<1280x8xbf16> | ||
return %2 : tensor<1280x8xbf16> | ||
} | ||
} | ||
} |
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@@ -1,10 +1,10 @@ | ||
|
||
module { | ||
func.func @main_0(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x8xf16>) -> tensor<1280x8xf16> { | ||
func.func @main(%arg0: tensor<8192x1280xf16>, %arg1: tensor<8192x8xf16>) -> tensor<1280x8xf16> { | ||
%cst = arith.constant 0.000000e+00 : f16 | ||
%0 = tensor.empty() : tensor<1280x8xf16> | ||
%1 = linalg.fill ins(%cst : f16) outs(%0 : tensor<1280x8xf16>) -> tensor<1280x8xf16> | ||
%2 = linalg.matmul_transpose_a ins(%arg0, %arg1 : tensor<8192x1280xf16>, tensor<8192x8xf16>) outs(%1 : tensor<1280x8xf16>) -> tensor<1280x8xf16> | ||
return %2 : tensor<1280x8xf16> | ||
} | ||
} | ||
} |
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@@ -1,9 +1,9 @@ | ||
module { | ||
func.func @main_0(%arg0: tensor<128x2048xbf16>, %arg1: tensor<2048x1280xbf16>) -> tensor<128x1280xbf16> { | ||
func.func @main(%arg0: tensor<128x2048xbf16>, %arg1: tensor<2048x1280xbf16>) -> tensor<128x1280xbf16> { | ||
%cst = arith.constant 0.000000e+00 : bf16 | ||
%0 = tensor.empty() : tensor<128x1280xbf16> | ||
%1 = linalg.fill ins(%cst : bf16) outs(%0 : tensor<128x1280xbf16>) -> tensor<128x1280xbf16> | ||
%2 = linalg.matmul ins(%arg0, %arg1 : tensor<128x2048xbf16>, tensor<2048x1280xbf16>) outs(%1 : tensor<128x1280xbf16>) -> tensor<128x1280xbf16> | ||
return %2 : tensor<128x1280xbf16> | ||
} | ||
} | ||
} |
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