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-rw-r--r--src/core/CL/cl_kernels/common/gemmlowp.cl4
-rw-r--r--src/core/CL/cl_kernels/nhwc/direct_convolution.cl4
-rw-r--r--src/core/CL/cl_kernels/nhwc/direct_convolution3d.cl4
-rw-r--r--src/core/CL/cl_kernels/nhwc/dwc_native_fp_nhwc.cl4
-rw-r--r--src/core/CL/cl_kernels/nhwc/dwc_native_quantized_nhwc.cl4
-rw-r--r--src/core/CL/cl_kernels/nhwc/winograd_output_transform.cl12
-rw-r--r--src/core/CL/cl_kernels/tile_helpers.h46
7 files changed, 54 insertions, 24 deletions
diff --git a/src/core/CL/cl_kernels/common/gemmlowp.cl b/src/core/CL/cl_kernels/common/gemmlowp.cl
index 9fad66df68..53ce296948 100644
--- a/src/core/CL/cl_kernels/common/gemmlowp.cl
+++ b/src/core/CL/cl_kernels/common/gemmlowp.cl
@@ -703,7 +703,7 @@ __kernel void gemmlowp_mm_reshaped_only_rhs_t
a_offset_s32[0].v *= A_OFFSET;
- T_ADD_BROADCAST_X(int, M0, N0, offset_s32, a_offset_s32, offset_s32);
+ T_ELTWISE_BROADCAST_ADD_X(int, M0, N0, offset_s32, a_offset_s32, offset_s32);
#endif // defined(A_OFFSET)
#if defined(B_OFFSET)
@@ -728,7 +728,7 @@ __kernel void gemmlowp_mm_reshaped_only_rhs_t
T_LOAD(int, 1, N0, BUFFER, biases, xo, 0, 1, 0, bias);
- T_ADD_BROADCAST_X(int, M0, N0, offset_s32, bias, offset_s32);
+ T_ELTWISE_BROADCAST_ADD_X(int, M0, N0, offset_s32, bias, offset_s32);
#endif // defined(ADD_BIAS)
LOOP_UNROLLING(int, i, 0, 1, M0,
diff --git a/src/core/CL/cl_kernels/nhwc/direct_convolution.cl b/src/core/CL/cl_kernels/nhwc/direct_convolution.cl
index f1b422a68f..d34e24b436 100644
--- a/src/core/CL/cl_kernels/nhwc/direct_convolution.cl
+++ b/src/core/CL/cl_kernels/nhwc/direct_convolution.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021 Arm Limited.
+ * Copyright (c) 2021-2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -233,7 +233,7 @@ __kernel void direct_convolution_nhwc(
T_LOAD(BIA_DATA_TYPE, 1, N0, BUFFER, bia, cout, 0, 1, 0, bias0);
// c = c + bias[broadcasted]
- T_ADD_BROADCAST_X(ACC_DATA_TYPE, M0, N0, c, bias0, c);
+ T_ELTWISE_BROADCAST_ADD_X(ACC_DATA_TYPE, M0, N0, c, bias0, c);
#endif // HAS_BIAS
diff --git a/src/core/CL/cl_kernels/nhwc/direct_convolution3d.cl b/src/core/CL/cl_kernels/nhwc/direct_convolution3d.cl
index 587f3984ab..807b990e82 100644
--- a/src/core/CL/cl_kernels/nhwc/direct_convolution3d.cl
+++ b/src/core/CL/cl_kernels/nhwc/direct_convolution3d.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021 Arm Limited.
+ * Copyright (c) 2021-2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -254,7 +254,7 @@ __kernel void direct_convolution3d_ndhwc(
}
// c = c + bias[broadcasted]
- T_ADD_BROADCAST_X(ACC_DATA_TYPE, M0, N0, c, bias0, c);
+ T_ELTWISE_BROADCAST_ADD_X(ACC_DATA_TYPE, M0, N0, c, bias0, c);
#endif // HAS_BIAS
diff --git a/src/core/CL/cl_kernels/nhwc/dwc_native_fp_nhwc.cl b/src/core/CL/cl_kernels/nhwc/dwc_native_fp_nhwc.cl
index 4f57a81e7b..b24a6ae85f 100644
--- a/src/core/CL/cl_kernels/nhwc/dwc_native_fp_nhwc.cl
+++ b/src/core/CL/cl_kernels/nhwc/dwc_native_fp_nhwc.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021 Arm Limited.
+ * Copyright (c) 2021-2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -175,7 +175,7 @@ __kernel void dwc_native_fp_nhwc(
T_LOAD(BIA_DATA_TYPE, 1, N0, BUFFER, bia, (cout * DEPTH_MULTIPLIER) + d, 0, 0, 0, bias0);
// c = c + bias[broadcasted]
- T_ADD_BROADCAST_X(ACC_DATA_TYPE, M0, N0, c, bias0, c);
+ T_ELTWISE_BROADCAST_ADD_X(ACC_DATA_TYPE, M0, N0, c, bias0, c);
#endif // HAS_BIAS
T_ACTIVATION(ACC_DATA_TYPE, M0, N0, ACTIVATION_TYPE, A_VAL, B_VAL, c, c);
diff --git a/src/core/CL/cl_kernels/nhwc/dwc_native_quantized_nhwc.cl b/src/core/CL/cl_kernels/nhwc/dwc_native_quantized_nhwc.cl
index ec2593af71..263a23ef28 100644
--- a/src/core/CL/cl_kernels/nhwc/dwc_native_quantized_nhwc.cl
+++ b/src/core/CL/cl_kernels/nhwc/dwc_native_quantized_nhwc.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021 Arm Limited.
+ * Copyright (c) 2021-2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -236,7 +236,7 @@ __kernel void dwc_native_quantized_nhwc(
T_LOAD(BIA_DATA_TYPE, 1, N0, BUFFER, bia, cout * DEPTH_MULTIPLIER + d, 0, 0, 0, bias0);
// c = c + bias[broadcasted]
- T_ADD_BROADCAST_X(ACC_DATA_TYPE, M0, N0, c, bias0, c);
+ T_ELTWISE_BROADCAST_ADD_X(ACC_DATA_TYPE, M0, N0, c, bias0, c);
#endif // HAS_BIAS
T_LOAD_MULTIPLIERS_SHIFT(QUANTIZATION_TYPE);
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;
diff --git a/src/core/CL/cl_kernels/tile_helpers.h b/src/core/CL/cl_kernels/tile_helpers.h
index 69898e1bb4..0ce343e3ec 100644
--- a/src/core/CL/cl_kernels/tile_helpers.h
+++ b/src/core/CL/cl_kernels/tile_helpers.h
@@ -970,6 +970,9 @@
#define ACT_OP_QUANTIZED(op, DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) op##_op_quantized(DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x)
#define ACTIVATION_QUANTIZED(op, DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x) ACT_OP_QUANTIZED(op, DATA_TYPE, VEC_SIZE, ZERO_VALUE, A_VAL, B_VAL, x)
+#define T_ADD(A_VAL, B_VAL) ((A_VAL) + (B_VAL))
+#define T_DIV(A_VAL, B_VAL) ((A_VAL) / (B_VAL))
+
/** Element-wise activation for quantized types
*
* @note Performs: activation(LHS) = DST
@@ -1014,11 +1017,15 @@
}) \
})
-/** Element-wise addition with RHS broadcasted (RHS has the X dimension only)
+#define T_ELTWISE_BROADCAST_ADD_X(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_X(T_ADD, DST_DATA_TYPE, M0, N0, lhs, rhs, dst)
+#define T_ELTWISE_BROADCAST_DIV_X(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE_BROADCAST_X(T_DIV, DST_DATA_TYPE, M0, N0, lhs, rhs, dst)
+
+/** Element-wise operation with RHS broadcasted (RHS has the X dimension only)
*
- * @note Performs: LHS + RHS[broadcasted] = DST
+ * @note Performs: LHS OP RHS[broadcasted] = DST
* @note Both tiles must have same data type
*
+ * @param[in] T_ELWISE_OP Elementwise operator to perform
* @param[in] DST_DATA_TYPE DST data type
* @param[in] M0 Number of LHS rows
* @param[in] N0 Number of LHS columns
@@ -1026,19 +1033,23 @@
* @param[in] rhs RHS tile
* @param[out] dst DST tile
*/
-#define T_ADD_BROADCAST_X(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) \
+#define T_ELTWISE_BROADCAST_X(T_ELWISE_OP, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) \
({ \
LOOP_UNROLLING(int, _m0, 0, 1, M0, \
{ \
- dst[_m0].v = CONVERT(lhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0)) + CONVERT(rhs[0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0)); \
+ dst[_m0].v = T_ELWISE_OP(CONVERT(lhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0)), CONVERT(rhs[0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0))); \
}) \
})
-/** Element-wise addition between two tiles (LHS and RHS)
+#define T_ELTWISE_ADD(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE(T_ADD, DST_DATA_TYPE, M0, N0, lhs, rhs, dst)
+#define T_ELTWISE_DIV(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) T_ELTWISE(T_DIV, DST_DATA_TYPE, M0, N0, lhs, rhs, dst)
+
+/** Element-wise operation between two tiles (LHS and RHS)
*
- * @note Performs: LHS + RHS = DST
+ * @note Performs: LHS OP RHS = DST
* @note Both tiles must have same data type
*
+ * @param[in] T_ELWISE_OP Elementwise operator to perform
* @param[in] DST_DATA_TYPE DST data type
* @param[in] M0 Number of LHS rows
* @param[in] N0 Number of LHS columns
@@ -1046,11 +1057,30 @@
* @param[in] rhs RHS tile
* @param[out] dst DST tile
*/
-#define T_ADD(DST_DATA_TYPE, M0, N0, lhs, rhs, dst) \
+#define T_ELTWISE(T_ELWISE_OP, DST_DATA_TYPE, M0, N0, lhs, rhs, dst) \
+ ({ \
+ LOOP_UNROLLING(int, _m0, 0, 1, M0, \
+ { \
+ dst[_m0].v = T_ELWISE_OP(CONVERT(lhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0)), CONVERT(rhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0))); \
+ }) \
+ })
+
+/** Floor operation on a tile
+ *
+ * @note Performs: floor(SRC) = DST
+ * @note Both tiles must have same data type
+ *
+ * @param[in] DST_DATA_TYPE DST data type
+ * @param[in] M0 Number of SRC rows
+ * @param[in] N0 Number of SRC columns
+ * @param[in] src LHS tile
+ * @param[out] dst DST tile
+ */
+#define T_FLOOR(DST_DATA_TYPE, M0, N0, src, dst) \
({ \
LOOP_UNROLLING(int, _m0, 0, 1, M0, \
{ \
- dst[_m0].v = CONVERT(lhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0)) + CONVERT(rhs[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0)); \
+ dst[_m0].v = floor(CONVERT(src[_m0].v, VEC_DATA_TYPE(DST_DATA_TYPE, N0))); \
}) \
})
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-20 07:23:38 +0000