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https://github.com/ml-explore/mlx.git
synced 2025-09-19 10:48:09 +08:00
@@ -22,23 +22,18 @@ void rope_single_impl(
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float sintheta = metal::fast::sin(theta);
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// Compute the input and output indices
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uint in_index_1, in_index_2;
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uint out_index_1, out_index_2;
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uint index_1, index_2;
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if (traditional) {
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out_index_1 = 2 * pos.x + pos.y * stride;
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out_index_2 = out_index_1 + 1;
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in_index_1 = 2 * pos.x + pos.y * stride;
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in_index_2 = in_index_1 + 1;
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index_1 = 2 * pos.x + pos.y * stride;
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index_2 = index_1 + 1;
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} else {
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out_index_1 = pos.x + pos.y * stride;
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out_index_2 = out_index_1 + grid.x;
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in_index_1 = pos.x + pos.y * stride;
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in_index_2 = in_index_1 + grid.x;
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index_1 = pos.x + pos.y * stride;
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index_2 = index_1 + grid.x;
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}
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// Read and write the output
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float x1 = static_cast<float>(in[in_index_1]);
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float x2 = static_cast<float>(in[in_index_2]);
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float x1 = static_cast<float>(in[index_1]);
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float x2 = static_cast<float>(in[index_2]);
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float rx1;
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float rx2;
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if (forward) {
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@@ -48,8 +43,8 @@ void rope_single_impl(
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rx1 = x2 * sintheta + x1 * costheta;
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rx2 = x2 * costheta - x1 * sintheta;
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}
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out[out_index_1] = static_cast<T>(rx1);
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out[out_index_2] = static_cast<T>(rx2);
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out[index_1] = static_cast<T>(rx1);
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out[index_2] = static_cast<T>(rx2);
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}
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template <typename T, bool traditional, bool forward>
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@@ -86,7 +86,7 @@ void RoPE::eval_gpu(
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MTL::Size group_dims;
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MTL::Size grid_dims;
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if (single) {
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compute_encoder->setBytes(&out_strides[1], sizeof(size_t), 4);
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compute_encoder->setBytes(out_strides, sizeof(size_t), 4);
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uint32_t dim0 = dims_ / 2;
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group_dims = get_block_dims(dim0, n_batch, 1);
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grid_dims = MTL::Size(dim0, n_batch, 1);
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@@ -340,7 +340,7 @@ array rope(
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if (inputs.size() == 2 &&
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(inputs[1].ndim() != 1 || inputs[1].shape(0) != dims / 2)) {
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std::ostringstream msg;
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msg << "[rope] freqs must be one dimensional with size " << dims
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msg << "[rope] freqs must be one dimensional with size " << dims / 2
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<< " but got shape " << inputs[1].shape() << ".";
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throw std::invalid_argument(msg.str());
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}
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