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Faster small batch qmv (#1861)
* faster small batch qmv * swap batch and block dims for qvm and qmv regular
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@ -648,14 +648,14 @@ METAL_FUNC void qmv_fast_impl(
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// Adjust positions
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const int in_vec_size_w = in_vec_size * bytes_per_pack / pack_factor;
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const int in_vec_size_g = in_vec_size / group_size;
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const int out_row = tid.x * (num_simdgroups * results_per_simdgroup) +
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const int out_row = tid.y * (num_simdgroups * results_per_simdgroup) +
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simd_gid * results_per_simdgroup;
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ws += out_row * in_vec_size_w + simd_lid * packs_per_thread * bytes_per_pack;
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scales += out_row * in_vec_size_g + simd_lid / scale_step_per_thread;
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biases += out_row * in_vec_size_g + simd_lid / scale_step_per_thread;
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x += tid.y * in_vec_size + simd_lid * values_per_thread;
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y += tid.y * out_vec_size + out_row;
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x += tid.x * in_vec_size + simd_lid * values_per_thread;
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y += tid.x * out_vec_size + out_row;
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for (int k = 0; k < in_vec_size; k += block_size) {
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U sum = load_vector<T, U, values_per_thread, bits>(x, x_thread);
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@ -716,7 +716,7 @@ METAL_FUNC void qmv_impl(
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// Adjust positions
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const int in_vec_size_w = in_vec_size * bytes_per_pack / pack_factor;
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const int in_vec_size_g = in_vec_size / group_size;
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const int out_row = tid.x * (num_simdgroups * results_per_simdgroup) +
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const int out_row = tid.y * (num_simdgroups * results_per_simdgroup) +
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simd_gid * results_per_simdgroup;
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const int used_out_row = min(out_vec_size - results_per_simdgroup, out_row);
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@ -731,8 +731,8 @@ METAL_FUNC void qmv_impl(
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out_row * in_vec_size_w + simd_lid * packs_per_thread * bytes_per_pack;
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scales += out_row * in_vec_size_g + simd_lid / scale_step_per_thread;
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biases += out_row * in_vec_size_g + simd_lid / scale_step_per_thread;
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x += tid.y * in_vec_size + simd_lid * values_per_thread;
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y += tid.y * out_vec_size + out_row;
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x += tid.x * in_vec_size + simd_lid * values_per_thread;
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y += tid.x * out_vec_size + out_row;
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int k = 0;
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for (; k < in_vec_size - block_size; k += block_size) {
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@ -788,8 +788,8 @@ METAL_FUNC void qmv_impl(
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simd_lid * packs_per_thread * bytes_per_pack;
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scales += used_out_row * in_vec_size_g + simd_lid / scale_step_per_thread;
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biases += used_out_row * in_vec_size_g + simd_lid / scale_step_per_thread;
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x += tid.y * in_vec_size + simd_lid * values_per_thread;
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y += tid.y * out_vec_size + used_out_row;
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x += tid.x * in_vec_size + simd_lid * values_per_thread;
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y += tid.x * out_vec_size + used_out_row;
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int k = 0;
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for (; k < in_vec_size - block_size; k += block_size) {
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@ -876,12 +876,12 @@ METAL_FUNC void qvm_impl(
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// Adjust positions
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const int out_vec_size_w = out_vec_size * bytes_per_pack / pack_factor;
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const int out_vec_size_g = out_vec_size / group_size;
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int out_col = pack_factor * tn * (tid.x * num_simdgroups + simd_gid);
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int out_col = pack_factor * tn * (tid.y * num_simdgroups + simd_gid);
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ws += out_col * bytes_per_pack / pack_factor + simd_lid * out_vec_size_w;
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scales += out_col / group_size + simd_lid * out_vec_size_g;
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biases += out_col / group_size + simd_lid * out_vec_size_g;
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x += tid.y * in_vec_size + simd_lid;
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y += tid.y * out_vec_size + out_col;
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x += tid.x * in_vec_size + simd_lid;
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y += tid.x * out_vec_size + out_col;
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if (out_col >= out_vec_size) {
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return;
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@ -167,7 +167,7 @@ void qvm_split_k(
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int bo = 64;
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int bd = 32;
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MTL::Size group_dims = MTL::Size(bd, 2, 1);
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MTL::Size grid_dims = MTL::Size(O / bo, B, N);
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MTL::Size grid_dims = MTL::Size(B, O / bo, N);
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auto& x_pre = inputs[0];
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auto& w_pre = inputs[1];
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@ -313,13 +313,13 @@ void qmm_op(
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int bo = 8;
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int bd = 32;
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group_dims = MTL::Size(bd, 2, 1);
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grid_dims = MTL::Size(O / bo, B, N);
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grid_dims = MTL::Size(B, O / bo, N);
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} else if (B < 6) {
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name += "qmv";
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int bo = 8;
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int bd = 32;
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group_dims = MTL::Size(bd, 2, 1);
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grid_dims = MTL::Size((O + bo - 1) / bo, B, N);
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grid_dims = MTL::Size(B, (O + bo - 1) / bo, N);
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} else {
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int wn = 2;
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int wm = 2;
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@ -339,7 +339,7 @@ void qmm_op(
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int bo = 64;
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int bd = 32;
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group_dims = MTL::Size(bd, 2, 1);
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grid_dims = MTL::Size(O / bo, B, N);
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grid_dims = MTL::Size(B, O / bo, N);
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} else {
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name += "qmm_n";
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int wn = 2;
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