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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2022-06-15 19:02:28 +0100 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2022-06-27 14:05:05 +0000 |
| commit | b1fcefddf3f59219a9d7930d607175b7e6c39347 (patch) | |
| tree | 34e95efded15194b3c8abe4ba3da308c3259301d /src/core/CL/cl_kernels/nhwc/winograd_output_transform.cl | |
| parent | 41eb2d92c89274200d59ff97653e2bd66819b310 (diff) | |
| download | ComputeLibrary-b1fcefddf3f59219a9d7930d607175b7e6c39347.tar.gz | |
Implement new Elementwise Dynamic Fusion Operators: Div, Floor
Resolves: COMPMID-5355
Change-Id: I92f73fbe885f28bbe7b07965b90cfd807c93602f
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7745
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/nhwc/winograd_output_transform.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/nhwc/winograd_output_transform.cl | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/src/core/CL/cl_kernels/nhwc/winograd_output_transform.cl b/src/core/CL/cl_kernels/nhwc/winograd_output_transform.cl index bab2ee850c..0883cd99c8 100644 --- a/src/core/CL/cl_kernels/nhwc/winograd_output_transform.cl +++ b/src/core/CL/cl_kernels/nhwc/winograd_output_transform.cl @@ -111,7 +111,7 @@ __kernel void winograd_output_transform_2x2_7x7_nhwc( T_LOAD(DATA_TYPE, 1, N0, BUFFER, bias, cout, 0, 1, 0, b); - T_ADD_BROADCAST_X(DATA_TYPE, 2, N0, out, b, out); + T_ELTWISE_BROADCAST_ADD_X(DATA_TYPE, 2, N0, out, b, out); #endif // defined(HAS_BIAS) T_ACTIVATION(DATA_TYPE, 2, N0, ACTIVATION_TYPE, A_VAL, B_VAL, out, out); @@ -177,7 +177,7 @@ __kernel void winograd_output_transform_2x2_7x7_nhwc( T_LOAD(DATA_TYPE, 1, N0, BUFFER, bias, cout, 0, 1, 0, b); - T_ADD_BROADCAST_X(DATA_TYPE, 4, N0, out, b, out); + T_ELTWISE_BROADCAST_ADD_X(DATA_TYPE, 4, N0, out, b, out); #endif // defined(HAS_BIAS) T_ACTIVATION(DATA_TYPE, 4, N0, ACTIVATION_TYPE, A_VAL, B_VAL, out, out); @@ -287,7 +287,7 @@ __kernel void winograd_output_transform_4x4_3x3_nhwc( T_LOAD(DATA_TYPE, 1, N0, BUFFER, bias, cout, 0, 1, 0, b); // c = c + bias[broadcasted] - T_ADD_BROADCAST_X(DATA_TYPE, 4, N0, out, b, out); + T_ELTWISE_BROADCAST_ADD_X(DATA_TYPE, 4, N0, out, b, out); #endif // HAS_BIAS int x_out = (mout % NUM_TILES_X) * OUTPUT_TILE_W; @@ -374,7 +374,7 @@ __kernel void winograd_output_transform_4x4_3x3_nhwc( T_LOAD(DATA_TYPE, 1, N0, BUFFER, bias, cout, 0, 1, 0, b); // c = c + bias[broadcasted] - T_ADD_BROADCAST_X(DATA_TYPE, 16, N0, out, b, out); + T_ELTWISE_BROADCAST_ADD_X(DATA_TYPE, 16, N0, out, b, out); #endif // HAS_BIAS int x_out = (mout % NUM_TILES_X) * OUTPUT_TILE_W; @@ -488,7 +488,7 @@ __kernel void winograd_output_transform_4x4_5x5_nhwc( T_LOAD(DATA_TYPE, 1, N0, BUFFER, bias, cout, 0, 1, 0, b); // c = c + bias[broadcasted] - T_ADD_BROADCAST_X(DATA_TYPE, 4, N0, out, b, out); + T_ELTWISE_BROADCAST_ADD_X(DATA_TYPE, 4, N0, out, b, out); #endif // HAS_BIAS int x_out = (mout % NUM_TILES_X) * OUTPUT_TILE_W; @@ -586,7 +586,7 @@ __kernel void winograd_output_transform_4x4_5x5_nhwc( T_LOAD(DATA_TYPE, 1, N0, BUFFER, bias, cout, 0, 1, 0, b); // c = c + bias[broadcasted] - T_ADD_BROADCAST_X(DATA_TYPE, 16, N0, out, b, out); + T_ELTWISE_BROADCAST_ADD_X(DATA_TYPE, 16, N0, out, b, out); #endif // HAS_BIAS int x_out = (mout % NUM_TILES_X) * OUTPUT_TILE_W; |