sync : ggml
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21 changed files with 1422 additions and 178 deletions
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@ -220,7 +220,7 @@
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#include <stdio.h>
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#define GGML_FILE_MAGIC 0x67676d6c // "ggml"
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#define GGML_FILE_VERSION 1
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#define GGML_FILE_VERSION 2
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#define GGML_QNT_VERSION 2 // bump this on quantization format changes
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#define GGML_QNT_VERSION_FACTOR 1000 // do not change this
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@ -453,6 +453,8 @@ extern "C" {
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GGML_OP_SQR,
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GGML_OP_SQRT,
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GGML_OP_LOG,
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GGML_OP_SIN,
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GGML_OP_COS,
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GGML_OP_SUM,
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GGML_OP_SUM_ROWS,
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GGML_OP_MEAN,
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@ -490,9 +492,11 @@ extern "C" {
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GGML_OP_CLAMP,
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GGML_OP_CONV_TRANSPOSE_1D,
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GGML_OP_IM2COL,
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GGML_OP_IM2COL_BACK,
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GGML_OP_CONV_TRANSPOSE_2D,
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GGML_OP_POOL_1D,
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GGML_OP_POOL_2D,
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GGML_OP_POOL_2D_BACK,
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GGML_OP_UPSCALE, // nearest interpolate
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GGML_OP_PAD,
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GGML_OP_ARANGE,
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@ -969,6 +973,22 @@ extern "C" {
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struct ggml_context * ctx,
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struct ggml_tensor * a);
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GGML_API struct ggml_tensor * ggml_sin(
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struct ggml_context * ctx,
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struct ggml_tensor * a);
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GGML_API struct ggml_tensor * ggml_sin_inplace(
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struct ggml_context * ctx,
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struct ggml_tensor * a);
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GGML_API struct ggml_tensor * ggml_cos(
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struct ggml_context * ctx,
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struct ggml_tensor * a);
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GGML_API struct ggml_tensor * ggml_cos_inplace(
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struct ggml_context * ctx,
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struct ggml_tensor * a);
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// return scalar
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GGML_API struct ggml_tensor * ggml_sum(
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struct ggml_context * ctx,
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@ -1566,34 +1586,49 @@ extern "C" {
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float min,
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float max);
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// im2col
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// converts data into a format that effectively results in a convolution when combined with matrix multiplication
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GGML_API struct ggml_tensor * ggml_im2col(
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struct ggml_context * ctx,
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struct ggml_tensor * a,
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struct ggml_tensor * b,
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int s0,
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int s1,
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int p0,
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int p1,
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int d0,
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int d1,
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bool is_2D,
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enum ggml_type dst_type);
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struct ggml_tensor * a, // convolution kernel
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struct ggml_tensor * b, // data
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int s0, // stride dimension 0
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int s1, // stride dimension 1
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int p0, // padding dimension 0
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int p1, // padding dimension 1
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int d0, // dilation dimension 0
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int d1, // dilation dimension 1
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bool is_2D,
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enum ggml_type dst_type);
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GGML_API struct ggml_tensor * ggml_im2col_back(
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struct ggml_context * ctx,
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struct ggml_tensor * a, // convolution kernel
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struct ggml_tensor * b, // gradient of im2col output
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int64_t * ne, // shape of im2col input
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int s0, // stride dimension 0
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int s1, // stride dimension 1
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int p0, // padding dimension 0
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int p1, // padding dimension 1
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int d0, // dilation dimension 0
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int d1, // dilation dimension 1
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bool is_2D);
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GGML_API struct ggml_tensor * ggml_conv_depthwise_2d(
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struct ggml_context * ctx,
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struct ggml_tensor * a,
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struct ggml_tensor * b,
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int s0,
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int s1,
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int p0,
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int p1,
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int d0,
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int d1);
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struct ggml_tensor * a, // convolution kernel
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struct ggml_tensor * b, // data
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int s0, // stride dimension 0
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int s1, // stride dimension 1
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int p0, // padding dimension 0
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int p1, // padding dimension 1
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int d0, // dilation dimension 0
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int d1); // dilation dimension 1
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GGML_API struct ggml_tensor * ggml_conv_1d(
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struct ggml_context * ctx,
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struct ggml_tensor * a,
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struct ggml_tensor * b,
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struct ggml_tensor * a, // convolution kernel
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struct ggml_tensor * b, // data
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int s0, // stride
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int p0, // padding
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int d0); // dilation
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@ -1602,29 +1637,29 @@ extern "C" {
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// alias for ggml_conv_1d(a, b, s, a->ne[0]/2, d)
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GGML_API struct ggml_tensor* ggml_conv_1d_ph(
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struct ggml_context * ctx,
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struct ggml_tensor * a,
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struct ggml_tensor * b,
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int s,
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int d);
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struct ggml_tensor * a, // convolution kernel
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struct ggml_tensor * b, // data
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int s, // stride
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int d); // dilation
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GGML_API struct ggml_tensor * ggml_conv_transpose_1d(
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struct ggml_context * ctx,
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struct ggml_tensor * a,
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struct ggml_tensor * b,
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int s0,
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int p0,
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int d0);
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struct ggml_tensor * a, // convolution kernel
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struct ggml_tensor * b, // data
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int s0, // stride
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int p0, // padding
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int d0); // dilation
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GGML_API struct ggml_tensor * ggml_conv_2d(
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struct ggml_context * ctx,
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struct ggml_tensor * a,
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struct ggml_tensor * b,
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int s0,
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int s1,
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int p0,
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int p1,
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int d0,
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int d1);
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struct ggml_tensor * a, // convolution kernel
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struct ggml_tensor * b, // data
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int s0, // stride dimension 0
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int s1, // stride dimension 1
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int p0, // padding dimension 0
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int p1, // padding dimension 1
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int d0, // dilation dimension 0
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int d1); // dilation dimension 1
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// kernel size is a->ne[0] x a->ne[1]
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@ -1686,6 +1721,18 @@ extern "C" {
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float p0,
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float p1);
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GGML_API struct ggml_tensor * ggml_pool_2d_back(
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struct ggml_context * ctx,
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struct ggml_tensor * a,
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struct ggml_tensor * af, // "a"/input used in forward pass
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enum ggml_op_pool op,
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int k0,
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int k1,
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int s0,
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int s1,
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float p0,
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float p1);
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// nearest interpolate
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// multiplies ne0 and ne1 by scale factor
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// used in stable-diffusion
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