diff options
Diffstat (limited to 'src/core/CL/cl_kernels/common/mat_mul_quantized.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/common/mat_mul_quantized.cl | 15 |
1 files changed, 14 insertions, 1 deletions
diff --git a/src/core/CL/cl_kernels/common/mat_mul_quantized.cl b/src/core/CL/cl_kernels/common/mat_mul_quantized.cl index 0c3cbca9a6..bd415bb4a7 100644 --- a/src/core/CL/cl_kernels/common/mat_mul_quantized.cl +++ b/src/core/CL/cl_kernels/common/mat_mul_quantized.cl @@ -23,6 +23,7 @@ */ #include "helpers.h" #include "tile_helpers.h" +#include "activation_float_helpers.h" #if defined(MAT_MUL_NATIVE_QUANTIZED_NT_NT) /** This OpenCL kernel performs the batch matrix multiplication (BatchMatMul): LHS non-transposed, RHS non-transposed - buffer only @@ -32,6 +33,7 @@ * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=uchar) * @note The block's dimensions used for the LHS and RHS matrices (M0, N0 and K0) must be passed at compile time using -DN0, -DM0 and -DK0 (e.g. -DN0=8, -DM0=4, -DK0=4). * @note The number of leftover outputs rows/columns must be passed using -DPARTIAL_STORE_N0 and -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_N0=2, -DPARTIAL_STORE_M0=3) + * @note The fused activation function used should be passed with -DACTIVATION_TYPE, -DA_VAL and -DB_VAL are used for min and max output with the relu and bounded relu operations. * @note The dimension K must be passed at compile time using -DK (e.g. -DK=6) * @note The kernel name in uppercase must be passed at compile time (e.g. -DMAT_MUL_NATIVE_QUANTIZED_NT_NT) * @note Only the following configurations of M0, N0 and K0 are currently supported: @@ -194,6 +196,8 @@ __kernel void mat_mul_native_quantized_nt_nt( const bool x_cond = PARTIAL_STORE_N0 != 0 && get_global_id(0) == 0; const bool y_cond = PARTIAL_STORE_M0 != 0 && get_global_id(1) == 0; + T_ACTIVATION(int, M0, N0, ACTIVATION_TYPE, A_VAL, B_VAL, acc, acc); + // Quantize the tile TILE(DATA_TYPE, M0, N0, accq); T_QUANTIZE8_ASYMMETRIC(int, DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, acc, accq); @@ -216,6 +220,7 @@ __kernel void mat_mul_native_quantized_nt_nt( * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=uchar) * @note The block's dimensions used for the LHS and RHS matrices (M0, N0 and K0) must be passed at compile time using -DN0, -DM0 and -DK0 (e.g. -DN0=8, -DM0=4, -DK0=4). * @note The number of leftover outputs rows/columns must be passed using -DPARTIAL_STORE_N0 and -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_N0=2, -DPARTIAL_STORE_M0=3) + * @note The fused activation function used should be passed with -DACTIVATION_TYPE, -DA_VAL and -DB_VAL are used for min and max output bounded activation functions. * @note The dimension K must be passed at compile time using -DK (e.g. -DK=6) * @note The kernel name in uppercase must be passed at compile time (e.g. -DMAT_MUL_NATIVE_QUANTIZED_NT_T) * @note Only the following configurations of M0, N0 and K0 are currently supported: @@ -315,7 +320,7 @@ __kernel void mat_mul_native_quantized_nt_t( rhs_offset_first_element_in_bytes += K0 * sizeof(DATA_TYPE); } -#if ((K % K0) != 0) +#if((K % K0) != 0) // Leftover loop for(; k < K; ++k) { @@ -370,6 +375,8 @@ __kernel void mat_mul_native_quantized_nt_t( const bool x_cond = PARTIAL_STORE_N0 != 0 && get_global_id(0) == 0; const bool y_cond = PARTIAL_STORE_M0 != 0 && get_global_id(1) == 0; + T_ACTIVATION(int, M0, N0, ACTIVATION_TYPE, A_VAL, B_VAL, acc, acc); + // Quantize the tile TILE(DATA_TYPE, M0, N0, accq); T_QUANTIZE8_ASYMMETRIC(int, DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, acc, accq); @@ -392,6 +399,7 @@ __kernel void mat_mul_native_quantized_nt_t( * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=uchar) * @note The block's dimensions used for the LHS and RHS matrices (M0, N0 and K0) must be passed at compile time using -DN0, -DM0 and -DK0 (e.g. -DN0=8, -DM0=4, -DK0=4). * @note The number of leftover outputs rows/columns must be passed using -DPARTIAL_STORE_N0 and -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_N0=2, -DPARTIAL_STORE_M0=3) + * @note The fused activation function used should be passed with -DACTIVATION_TYPE, -DA_VAL and -DB_VAL are used for min and max output with the relu and bounded relu operations. * @note The dimension K must be passed at compile time using -DK (e.g. -DK=6) * @note The kernel name in uppercase must be passed at compile time (e.g. -DMAT_MUL_NATIVE_QUANTIZED_T_NT) * @note Only the following configurations of M0, N0 and K0 are currently supported: @@ -548,6 +556,8 @@ __kernel void mat_mul_native_quantized_t_nt( const bool x_cond = PARTIAL_STORE_N0 != 0 && get_global_id(0) == 0; const bool y_cond = PARTIAL_STORE_M0 != 0 && get_global_id(1) == 0; + T_ACTIVATION(int, M0, N0, ACTIVATION_TYPE, A_VAL, B_VAL, acc, acc); + // Quantize the tile TILE(DATA_TYPE, M0, N0, accq); T_QUANTIZE8_ASYMMETRIC(int, DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, acc, accq); @@ -570,6 +580,7 @@ __kernel void mat_mul_native_quantized_t_nt( * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=uchar) * @note The block's dimensions used for the LHS and RHS matrices (M0, N0 and K0) must be passed at compile time using -DN0, -DM0 and -DK0 (e.g. -DN0=8, -DM0=4, -DK0=4). * @note The number of leftover outputs rows/columns must be passed using -DPARTIAL_STORE_N0 and -DPARTIAL_STORE_M0 (e.g. -DPARTIAL_STORE_N0=2, -DPARTIAL_STORE_M0=3) + * @note The fused activation function used should be passed with -DACTIVATION_TYPE, -DA_VAL and -DB_VAL are used for min and max output with the relu and bounded relu operations. * @note The dimension K must be passed at compile time using -DK (e.g. -DK=6) * @note The kernel name in uppercase must be passed at compile time (e.g. -DMAT_MUL_NATIVE_QUANTIZED_T_T) * @note Only the following configurations of M0, N0 and K0 are currently supported: @@ -731,6 +742,8 @@ __kernel void mat_mul_native_quantized_t_t( const bool y_cond = PARTIAL_STORE_M0 != 0 && get_global_id(1) == 0; // Quantize the tile + T_ACTIVATION(int, M0, N0, ACTIVATION_TYPE, A_VAL, B_VAL, acc, acc); + TILE(DATA_TYPE, M0, N0, accq); T_QUANTIZE8_ASYMMETRIC(int, DATA_TYPE, M0, N0, DST_OFFSET, DST_SHIFT, DST_MULTIPLIER, acc, accq); |