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# What does this PR do? See #1165 <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution. Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change. Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost. --> <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests), Pull Request section? - [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link to it if that's the case. - [ ] Did you make sure to update the documentation with your changes? Here are the [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation). - [ ] Did you write any new necessary tests? ## Who can review? Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR. <!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @ @OlivierDehaene OR @Narsil --> --------- Co-authored-by: Florian Zimmermeister <flozi00.fz@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-24-153.ec2.internal>
121 lines
4.2 KiB
Plaintext
121 lines
4.2 KiB
Plaintext
#ifndef _matrix_view_cuh
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#define _matrix_view_cuh
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#include <cuda_runtime.h>
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#include <cuda_fp16.h>
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#include "quant/qdq_util.cuh"
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class MatrixView_half
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{
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public:
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const half* data;
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const int height;
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const int width;
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__device__ __forceinline__ MatrixView_half(const half* data, const int height, const int width)
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: data(data), height(height), width(width)
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{ }
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__device__ __forceinline__ half item(int row, int column) const { return data[row * width + column]; }
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__device__ __forceinline__ half2 item_half2(int row, int column) const { return ((half2*)data)[(row * width + column) / 2]; }
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__device__ __forceinline__ half2 item_half2half2(int row, int column) const { return __half2half2(data[row * width + column]); }
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__device__ __forceinline__ const half* item_ptr(int row, int column) const { return &data[row * width + column]; }
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__device__ __forceinline__ void item4(half (&items)[4], int row, int column) const
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{
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half2* ptr = (half2*) item_ptr(row, column);
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half2 i01 = ptr[0];
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half2 i23 = ptr[1];
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items[0] = __low2half(i01);
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items[1] = __high2half(i01);
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items[2] = __low2half(i23);
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items[3] = __high2half(i23);
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}
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__device__ __forceinline__ void item4_f(float (&items)[4], int row, int column) const
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{
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half2* ptr = (half2*)item_ptr(row, column);
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half2 i01 = ptr[0];
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half2 i23 = ptr[1];
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items[0] = __half2float(__low2half(i01));
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items[1] = __half2float(__high2half(i01));
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items[2] = __half2float(__low2half(i23));
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items[3] = __half2float(__high2half(i23));
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}
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__device__ __forceinline__ void item4_h2(half2 (&items)[4], int row, int column) const
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{
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half2* ptr = (half2*)item_ptr(row, column);
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half2 i01 = ptr[0];
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half2 i23 = ptr[1];
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items[0] = __half2half2(__low2half(i01));
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items[1] = __half2half2(__high2half(i01));
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items[2] = __half2half2(__low2half(i23));
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items[3] = __half2half2(__high2half(i23));
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}
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};
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class MatrixView_half_rw
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{
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public:
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half* data;
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const int height;
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const int width;
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__device__ __forceinline__ MatrixView_half_rw(half* data, const int height, const int width)
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: data(data), height(height), width(width)
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{ }
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__device__ __forceinline__ half item(int row, int column) const { return data[row * width + column]; }
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__device__ __forceinline__ half2 item_half2(int row, int column) const { return ((half2*)data)[(row * width + column) / 2]; }
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__device__ __forceinline__ half* item_ptr(int row, int column) { return &data[row * width + column]; }
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__device__ __forceinline__ void set(int row, int column, half value) { data[row * width + column] = value; }
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__device__ __forceinline__ void set_half2(int row, int column, half2 value) { ((half2*)data)[(row * width + column) / 2] = value; }
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__device__ __forceinline__ void set4(int row, int column, half v0, half v1, half v2, half v3)
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{
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half2 v01 = __halves2half2(v0, v1);
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half2 v23 = __halves2half2(v2, v3);
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half2* ptr = (half2*) item_ptr(row, column);
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ptr[0] = v01;
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ptr[1] = v23;
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}
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};
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class MatrixView_q4_row
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{
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public:
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const uint32_t* data;
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const int height;
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const int width;
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__device__ __forceinline__ MatrixView_q4_row(const uint32_t* data, const int height, const int width)
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: data(data), height(height), width(width)
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{ }
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__device__ __forceinline__ int item(int row, int column) const
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{
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int shift = (column & 0x07) * 4;
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return (data[row * width / 8 + column / 8] >> shift) & 0x0f;
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}
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__device__ __forceinline__ void item2(int (&items)[2], int row, int column) const
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{
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int shift = (column & 0x07) * 4;
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uint32_t d = data[row * width / 8 + column / 8] >> shift;
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items[0] = d & 0x0f;
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items[1] = (d >> 4) & 0x0f;
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}
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__device__ __forceinline__ void item4(int (&items)[4], int row, int column) const
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{
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int shift = (column & 0x07) * 4;
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uint32_t d = data[row * width / 8 + column / 8] >> shift;
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items[0] = d & 0x0f;
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items[1] = (d >> 4) & 0x0f;
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items[2] = (d >> 8) & 0x0f;
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items[3] = (d >> 12) & 0x0f;
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}
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};
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#endif |