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Add RVV f16-f32-vcvt kernels and configs.
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sunyuechi
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Jan 6, 2025
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// Auto-generated file. Do not edit! | ||
// Template: src/f16-f32-vcvt/rvvfp16arith.c.in | ||
// Generator: tools/xngen | ||
// | ||
// Copyright (c) 2025 Institute of Software Chinese Academy of Sciences (ISCAS). | ||
// | ||
// This source code is licensed under the BSD-style license found in the | ||
// LICENSE file in the root directory of this source tree. | ||
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#include <assert.h> | ||
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#include <riscv_vector.h> | ||
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#include "xnnpack/vcvt.h" | ||
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void xnn_f16_f32_vcvt_ukernel__rvvfp16arith_u1v( | ||
size_t batch, | ||
const xnn_float16* input, | ||
float* output, | ||
const void* params) | ||
{ | ||
assert(batch != 0); | ||
assert(batch % sizeof(xnn_float16) == 0); | ||
assert(input != NULL); | ||
assert(output != NULL); | ||
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batch >>= XNN_LOG2_SIZEOF_HALF; | ||
const _Float16* i = (const _Float16*) input; | ||
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for (; batch > 0;) { | ||
const int32_t n = __riscv_vsetvl_e16m1(batch); batch -= n; | ||
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vfloat16m1_t x_f16v = __riscv_vle16_v_f16m1(i, n); i += n; | ||
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vfloat32m2_t y_f32v = __riscv_vfwcvt_f_f_v_f32m2(x_f16v, n); | ||
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__riscv_vse32_v_f32m2(output, y_f32v, n); output += n; | ||
} | ||
} |
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// Auto-generated file. Do not edit! | ||
// Template: src/f16-f32-vcvt/rvvfp16arith.c.in | ||
// Generator: tools/xngen | ||
// | ||
// Copyright (c) 2025 Institute of Software Chinese Academy of Sciences (ISCAS). | ||
// | ||
// This source code is licensed under the BSD-style license found in the | ||
// LICENSE file in the root directory of this source tree. | ||
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#include <assert.h> | ||
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#include <riscv_vector.h> | ||
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#include "xnnpack/vcvt.h" | ||
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void xnn_f16_f32_vcvt_ukernel__rvvfp16arith_u2v( | ||
size_t batch, | ||
const xnn_float16* input, | ||
float* output, | ||
const void* params) | ||
{ | ||
assert(batch != 0); | ||
assert(batch % sizeof(xnn_float16) == 0); | ||
assert(input != NULL); | ||
assert(output != NULL); | ||
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batch >>= XNN_LOG2_SIZEOF_HALF; | ||
const _Float16* i = (const _Float16*) input; | ||
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for (; batch > 0;) { | ||
const int32_t n = __riscv_vsetvl_e16m2(batch); batch -= n; | ||
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vfloat16m2_t x_f16v = __riscv_vle16_v_f16m2(i, n); i += n; | ||
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vfloat32m4_t y_f32v = __riscv_vfwcvt_f_f_v_f32m4(x_f16v, n); | ||
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__riscv_vse32_v_f32m4(output, y_f32v, n); output += n; | ||
} | ||
} |
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,40 @@ | ||
// Auto-generated file. Do not edit! | ||
// Template: src/f16-f32-vcvt/rvvfp16arith.c.in | ||
// Generator: tools/xngen | ||
// | ||
// Copyright (c) 2025 Institute of Software Chinese Academy of Sciences (ISCAS). | ||
// | ||
// This source code is licensed under the BSD-style license found in the | ||
// LICENSE file in the root directory of this source tree. | ||
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#include <assert.h> | ||
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#include <riscv_vector.h> | ||
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#include "xnnpack/vcvt.h" | ||
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void xnn_f16_f32_vcvt_ukernel__rvvfp16arith_u4v( | ||
size_t batch, | ||
const xnn_float16* input, | ||
float* output, | ||
const void* params) | ||
{ | ||
assert(batch != 0); | ||
assert(batch % sizeof(xnn_float16) == 0); | ||
assert(input != NULL); | ||
assert(output != NULL); | ||
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batch >>= XNN_LOG2_SIZEOF_HALF; | ||
const _Float16* i = (const _Float16*) input; | ||
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for (; batch > 0;) { | ||
const int32_t n = __riscv_vsetvl_e16m4(batch); batch -= n; | ||
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vfloat16m4_t x_f16v = __riscv_vle16_v_f16m4(i, n); i += n; | ||
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vfloat32m8_t y_f32v = __riscv_vfwcvt_f_f_v_f32m8(x_f16v, n); | ||
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__riscv_vse32_v_f32m8(output, y_f32v, n); output += n; | ||
} | ||
} |
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// Copyright (c) 2025 Institute of Software Chinese Academy of Sciences (ISCAS). | ||
// | ||
// This source code is licensed under the BSD-style license found in the | ||
// LICENSE file in the root directory of this source tree. | ||
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$assert LMUL in [1, 2, 4] | ||
$LMUL_32 = {1: "2", 2: "4", 4: "8"}[LMUL] | ||
#include <assert.h> | ||
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#include <riscv_vector.h> | ||
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#include "xnnpack/vcvt.h" | ||
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void xnn_f16_f32_vcvt_ukernel__rvvfp16arith_u${LMUL}v( | ||
size_t batch, | ||
const xnn_float16* input, | ||
float* output, | ||
const void* params) | ||
{ | ||
assert(batch != 0); | ||
assert(batch % sizeof(xnn_float16) == 0); | ||
assert(input != NULL); | ||
assert(output != NULL); | ||
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batch >>= XNN_LOG2_SIZEOF_HALF; | ||
const _Float16* i = (const _Float16*) input; | ||
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for (; batch > 0;) { | ||
const int32_t n = __riscv_vsetvl_e16m${LMUL}(batch); batch -= n; | ||
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vfloat16m${LMUL}_t x_f16v = __riscv_vle16_v_f16m${LMUL}(i, n); i += n; | ||
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vfloat32m${LMUL_32}_t y_f32v = __riscv_vfwcvt_f_f_v_f32m${LMUL_32}(x_f16v, n); | ||
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__riscv_vse32_v_f32m${LMUL_32}(output, y_f32v, n); output += n; | ||
} | ||
} |