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Move some kernels to get_template_definition (#1782)
This commit is contained in:
Angelos Katharopoulos
GitHub
parent
90532b1f37
commit
1f4c127fb9
@ -1,25 +0,0 @@
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// Copyright © 2024 Apple Inc.
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constexpr std::string_view gemv_masked_kernel = R"(
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template [[host_name("{name}")]] [[kernel]] void
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gemv_{trans}masked<{itype}, {outm_t}, {opm_t}, {bm}, {bn}, {sm}, {sn}, {tm}, {tn}, {nc}>(
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const device {itype}* mat [[buffer(0)]],
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const device {itype}* in_vec [[buffer(1)]],
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device {itype}* out_vec [[buffer(3)]],
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const constant int& in_vec_size [[buffer(4)]],
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const constant int& out_vec_size [[buffer(5)]],
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const constant int& marix_ld [[buffer(6)]],
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const constant int& batch_ndim [[buffer(9)]],
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const constant int* batch_shape [[buffer(10)]],
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const constant int64_t* vector_batch_stride [[buffer(11)]],
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const constant int64_t* matrix_batch_stride [[buffer(12)]],
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const device {outm_t}* out_mask [[buffer(20)]],
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const device {opm_t}* mat_mask [[buffer(21)]],
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const device {opm_t}* vec_mask [[buffer(22)]],
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const constant int* mask_strides [[buffer(23)]],
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const constant int64_t* mask_batch_strides [[buffer(24)]],
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uint3 tid [[threadgroup_position_in_grid]],
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uint3 lid [[thread_position_in_threadgroup]],
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uint simd_gid [[simdgroup_index_in_threadgroup]],
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uint simd_lid [[thread_index_in_simdgroup]]);
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)";
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@ -1,32 +0,0 @@
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// Copyright © 2024 Apple Inc.
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constexpr std::string_view steel_conv_kernels = R"(
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template [[host_name("{name}")]] [[kernel]] void
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implicit_gemm_conv_2d<{itype}, {bm}, {bn}, {bk}, {wm}, {wn}, {n_channels}, {small_filter}>(
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const device {itype}* A [[buffer(0)]],
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const device {itype}* B [[buffer(1)]],
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device {itype}* C [[buffer(2)]],
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const constant MLXConvParams<2>* params [[buffer(3)]],
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const constant ImplicitGemmConv2DParams* gemm_params [[buffer(4)]],
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uint3 tid [[threadgroup_position_in_grid]],
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uint3 lid [[thread_position_in_threadgroup]],
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uint simd_gid [[simdgroup_index_in_threadgroup]],
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uint simd_lid [[thread_index_in_simdgroup]]);
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)";
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constexpr std::string_view steel_conv_general_kernels = R"(
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template [[host_name("{name}")]] [[kernel]] void
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implicit_gemm_conv_2d_general<{itype}, {bm}, {bn}, {bk}, {wm}, {wn}>(
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const device {itype}* A [[buffer(0)]],
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const device {itype}* B [[buffer(1)]],
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device {itype}* C [[buffer(2)]],
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const constant MLXConvParams<2>* params [[buffer(3)]],
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const constant ImplicitGemmConv2DParams* gemm_params [[buffer(4)]],
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const constant Conv2DGeneralJumpParams* jump_params [[buffer(5)]],
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const constant Conv2DGeneralBaseInfo* base_h [[buffer(6)]],
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const constant Conv2DGeneralBaseInfo* base_w [[buffer(7)]],
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uint3 tid [[threadgroup_position_in_grid]],
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uint3 lid [[thread_position_in_threadgroup]],
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uint simd_gid [[simdgroup_index_in_threadgroup]],
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uint simd_lid [[thread_index_in_simdgroup]]);
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)";
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@ -1,106 +0,0 @@
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// Copyright © 2024 Apple Inc.
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constexpr std::string_view steel_gemm_fused_kernels = R"(
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template [[host_name("{name}")]]
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[[kernel]] void gemm<{itype}, {bm}, {bn}, {bk}, {wm}, {wn}, {trans_a}, {trans_b}, float>(
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const device {itype} *A [[buffer(0)]],
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const device {itype} *B [[buffer(1)]],
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const device {itype} *C [[buffer(2), function_constant(use_out_source)]],
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device {itype} *D [[buffer(3)]],
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const constant GEMMParams* params [[buffer(4)]],
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const constant GEMMAddMMParams* addmm_params [[buffer(5), function_constant(use_out_source)]],
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const constant int* batch_shape [[buffer(6)]],
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const constant int64_t* batch_strides [[buffer(7)]],
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const constant uint32_t* lhs_indices [[buffer(10), function_constant(do_gather)]],
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const constant uint32_t* rhs_indices [[buffer(11), function_constant(do_gather)]],
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const constant uint32_t* C_indices [[buffer(12), function_constant(gather_bias)]],
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const constant int* operand_shape [[buffer(13), function_constant(do_gather)]],
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const constant int64_t* operand_strides [[buffer(14), function_constant(do_gather)]],
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const constant packed_int3& operand_batch_ndim [[buffer(15), function_constant(do_gather)]],
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uint simd_lane_id [[thread_index_in_simdgroup]],
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uint simd_group_id [[simdgroup_index_in_threadgroup]],
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uint3 tid [[threadgroup_position_in_grid]],
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uint3 lid [[thread_position_in_threadgroup]]);
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)";
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constexpr std::string_view steel_gemm_masked_kernels = R"(
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template [[host_name("{name}")]] [[kernel]] void
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block_masked_gemm<
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{itype},
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{outmasktype},
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{opmasktype},
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{bm},
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{bn},
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{bk},
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{wm},
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{wn},
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{trans_a},
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{trans_b},
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{mn_aligned},
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{k_aligned}>(
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const device {itype}* A [[buffer(0)]],
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const device {itype}* B [[buffer(1)]],
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device {itype}* D [[buffer(3)]],
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const constant GEMMParams* params [[buffer(4)]],
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const constant int* batch_shape [[buffer(6)]],
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const constant int64_t* batch_strides [[buffer(7)]],
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const device {outmasktype}* out_mask [[buffer(10)]],
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const device {opmasktype}* lhs_mask [[buffer(11)]],
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const device {opmasktype}* rhs_mask [[buffer(12)]],
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const constant int* mask_strides [[buffer(13)]],
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uint simd_lane_id [[thread_index_in_simdgroup]],
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uint simd_group_id [[simdgroup_index_in_threadgroup]],
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uint3 tid [[threadgroup_position_in_grid]],
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uint3 lid [[thread_position_in_threadgroup]]);
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)";
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constexpr std::string_view steel_gemm_splitk_kernels = R"(
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template [[host_name("{name}")]] [[kernel]] void
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gemm_splitk<
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{itype},
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{otype},
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{bm},
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{bn},
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{bk},
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{wm},
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{wn},
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{trans_a},
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{trans_b},
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{mn_aligned},
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{k_aligned}>(
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const device {itype}* A [[buffer(0)]],
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const device {itype}* B [[buffer(1)]],
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device {otype}* C [[buffer(2)]],
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const constant GEMMSpiltKParams* params [[buffer(3)]],
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uint simd_lane_id [[thread_index_in_simdgroup]],
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uint simd_group_id [[simdgroup_index_in_threadgroup]],
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uint3 tid [[threadgroup_position_in_grid]],
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uint3 lid [[thread_position_in_threadgroup]]);
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)";
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constexpr std::string_view steel_gemm_splitk_accum_kernels = R"(
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template [[host_name("{name}")]] [[kernel]] void
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gemm_splitk_accum<{atype}, {otype}>(
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const device {atype}* C_split [[buffer(0)]],
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device {otype}* D [[buffer(1)]],
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const constant int& k_partitions [[buffer(2)]],
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const constant int& partition_stride [[buffer(3)]],
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const constant int& ldd [[buffer(4)]],
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uint2 gid [[thread_position_in_grid]]);
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)";
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constexpr std::string_view steel_gemm_splitk_accum_axbpy_kernels = R"(
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template [[host_name("{name}")]] [[kernel]] void
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gemm_splitk_accum_axpby<{atype}, {otype}>(
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const device {atype}* C_split [[buffer(0)]],
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device {otype}* D [[buffer(1)]],
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const constant int& k_partitions [[buffer(2)]],
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const constant int& partition_stride [[buffer(3)]],
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const constant int& ldd [[buffer(4)]],
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const device {otype}* C [[buffer(5)]],
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const constant int& ldc [[buffer(6)]],
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const constant int& fdc [[buffer(7)]],
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const constant float& alpha [[buffer(8)]],
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const constant float& beta [[buffer(9)]],
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uint2 gid [[thread_position_in_grid]]);
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)";
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@ -1,11 +1,8 @@
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// Copyright © 2024 Apple Inc.
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#include "mlx/backend/common/compiled.h"
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#include "mlx/backend/metal/jit/arange.h"
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#include "mlx/backend/metal/jit/gemv_masked.h"
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#include "mlx/backend/metal/jit/includes.h"
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#include "mlx/backend/metal/jit/softmax.h"
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#include "mlx/backend/metal/jit/steel_conv.h"
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#include "mlx/backend/metal/jit/steel_gemm.h"
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#include "mlx/backend/metal/kernels.h"
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#include "mlx/backend/metal/utils.h"
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@ -445,17 +442,17 @@ MTL::ComputePipelineState* get_steel_gemm_fused_kernel(
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std::ostringstream kernel_source;
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kernel_source << metal::utils() << metal::gemm()
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<< metal::steel_gemm_fused()
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<< fmt::format(
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steel_gemm_fused_kernels,
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"name"_a = lib_name,
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"itype"_a = get_type_string(out.dtype()),
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"bm"_a = bm,
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"bn"_a = bn,
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"bk"_a = bk,
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"wm"_a = wm,
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"wn"_a = wn,
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"trans_a"_a = transpose_a,
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"trans_b"_a = transpose_b);
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<< get_template_definition(
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lib_name,
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"gemm",
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get_type_string(out.dtype()),
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bm,
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bn,
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bk,
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wm,
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wn,
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transpose_a,
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transpose_b);
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return kernel_source.str();
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});
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return d.get_kernel(kernel_name, lib, hash_name, func_consts);
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@ -480,20 +477,20 @@ MTL::ComputePipelineState* get_steel_gemm_splitk_kernel(
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std::ostringstream kernel_source;
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kernel_source << metal::utils() << metal::gemm()
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<< metal::steel_gemm_splitk()
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<< fmt::format(
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steel_gemm_splitk_kernels,
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"name"_a = lib_name,
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"itype"_a = get_type_string(in.dtype()),
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"otype"_a = get_type_string(out.dtype()),
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"bm"_a = bm,
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"bn"_a = bn,
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"bk"_a = bk,
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"wm"_a = wm,
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"wn"_a = wn,
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"trans_a"_a = transpose_a,
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"trans_b"_a = transpose_b,
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"mn_aligned"_a = mn_aligned,
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"k_aligned"_a = k_aligned);
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<< get_template_definition(
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lib_name,
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"gemm_splitk",
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get_type_string(in.dtype()),
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get_type_string(out.dtype()),
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bm,
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bn,
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bk,
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wm,
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wn,
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transpose_a,
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transpose_b,
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mn_aligned,
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k_aligned);
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return kernel_source.str();
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});
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return d.get_kernel(kernel_name, lib);
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@ -510,13 +507,12 @@ MTL::ComputePipelineState* get_steel_gemm_splitk_accum_kernel(
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std::ostringstream kernel_source;
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kernel_source << metal::utils() << metal::gemm()
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<< metal::steel_gemm_splitk()
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<< fmt::format(
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fmt::runtime(
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axbpy ? steel_gemm_splitk_accum_axbpy_kernels
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: steel_gemm_splitk_accum_kernels),
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"name"_a = lib_name,
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"atype"_a = get_type_string(in.dtype()),
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"otype"_a = get_type_string(out.dtype()));
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<< get_template_definition(
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lib_name,
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axbpy ? "gemm_splitk_accum_axpby"
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: "gemm_splitk_accum",
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get_type_string(in.dtype()),
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get_type_string(out.dtype()));
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return kernel_source.str();
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});
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return d.get_kernel(kernel_name, lib);
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@ -547,21 +543,21 @@ MTL::ComputePipelineState* get_steel_gemm_masked_kernel(
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mask_op.has_value() ? get_type_string((*mask_op).dtype()) : "nomask_t";
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kernel_source << metal::utils() << metal::gemm()
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<< metal::steel_gemm_masked()
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<< fmt::format(
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steel_gemm_masked_kernels,
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"name"_a = lib_name,
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"itype"_a = get_type_string(out.dtype()),
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"outmasktype"_a = out_mask_type,
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"opmasktype"_a = op_mask_type,
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"bm"_a = bm,
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"bn"_a = bn,
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"bk"_a = bk,
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"wm"_a = wm,
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"wn"_a = wn,
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"trans_a"_a = transpose_a,
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"trans_b"_a = transpose_b,
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"mn_aligned"_a = mn_aligned,
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"k_aligned"_a = k_aligned);
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<< get_template_definition(
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lib_name,
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"block_masked_gemm",
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get_type_string(out.dtype()),
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out_mask_type,
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op_mask_type,
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bm,
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bn,
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bk,
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wm,
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wn,
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transpose_a,
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transpose_b,
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mn_aligned,
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k_aligned);
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return kernel_source.str();
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});
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return d.get_kernel(kernel_name, lib);
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@ -590,20 +586,19 @@ MTL::ComputePipelineState* get_gemv_masked_kernel(
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auto op_mask_type =
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mask_op.has_value() ? get_type_string((*mask_op).dtype()) : "nomask_t";
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kernel_source << metal::utils() << metal::gemv_masked()
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<< fmt::format(
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gemv_masked_kernel,
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"name"_a = lib_name,
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"itype"_a = get_type_string(out.dtype()),
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"outm_t"_a = out_mask_type,
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"opm_t"_a = op_mask_type,
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"bm"_a = bm,
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"bn"_a = bn,
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"sm"_a = sm,
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"sn"_a = sn,
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"tm"_a = tm,
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"tn"_a = tn,
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"trans"_a = transpose_mat ? "t_" : "",
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"nc"_a = contiguous ? "0" : "1");
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<< get_template_definition(
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lib_name,
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(transpose_mat) ? "gemv_t_masked" : "gemv_masked",
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get_type_string(out.dtype()),
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out_mask_type,
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op_mask_type,
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bm,
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bn,
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sm,
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sn,
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tm,
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tn,
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contiguous ? 0 : 1);
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return kernel_source.str();
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});
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return d.get_kernel(kernel_name, lib);
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@ -624,17 +619,17 @@ MTL::ComputePipelineState* get_steel_conv_kernel(
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auto lib = d.get_library(lib_name, [&]() {
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std::ostringstream kernel_source;
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kernel_source << metal::utils() << metal::conv() << metal::steel_conv()
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<< fmt::format(
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steel_conv_kernels,
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"name"_a = lib_name,
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"itype"_a = get_type_string(out.dtype()),
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"bm"_a = bm,
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"bn"_a = bn,
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"bk"_a = bk,
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"wm"_a = wm,
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"wn"_a = wn,
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"n_channels"_a = n_channel_specialization,
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"small_filter"_a = small_filter);
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<< get_template_definition(
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lib_name,
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"implicit_gemm_conv_2d",
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get_type_string(out.dtype()),
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bm,
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bn,
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bk,
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wm,
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wn,
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n_channel_specialization,
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small_filter);
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return kernel_source.str();
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});
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return d.get_kernel(kernel_name, lib);
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@ -654,15 +649,15 @@ MTL::ComputePipelineState* get_steel_conv_general_kernel(
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std::ostringstream kernel_source;
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kernel_source << metal::utils() << metal::conv()
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<< metal::steel_conv_general()
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<< fmt::format(
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steel_conv_general_kernels,
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"name"_a = lib_name,
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"itype"_a = get_type_string(out.dtype()),
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"bm"_a = bm,
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"bn"_a = bn,
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"bk"_a = bk,
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"wm"_a = wm,
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"wn"_a = wn);
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<< get_template_definition(
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lib_name,
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"implicit_gemm_conv_2d_general",
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get_type_string(out.dtype()),
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bm,
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bn,
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bk,
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wm,
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wn);
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return kernel_source.str();
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});
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return d.get_kernel(kernel_name, lib);
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