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metal : add F16 support for bin ops (#26465)
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@@ -1181,6 +1181,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
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case GGML_OP_MUL:
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case GGML_OP_DIV:
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case GGML_OP_ADD_ID:
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return ggml_is_contiguous_rows(op->src[0]) && ggml_is_contiguous_rows(op->src[1]) && (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) && (op->src[0]->type == op->src[1]->type);
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case GGML_OP_ACC:
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return ggml_is_contiguous_rows(op->src[0]) && ggml_is_contiguous_rows(op->src[1]) && op->src[0]->type == GGML_TYPE_F32;
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case GGML_OP_REPEAT:
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@@ -3334,9 +3334,6 @@ int ggml_metal_op_bin(ggml_metal_op_t ctx, int idx) {
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GGML_TENSOR_LOCALS( int32_t, ne, op, ne);
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GGML_TENSOR_LOCALS(uint64_t, nb, op, nb);
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GGML_ASSERT(op->src[0]->type == GGML_TYPE_F32);
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GGML_ASSERT(op->src[1]->type == GGML_TYPE_F32);
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GGML_ASSERT(ggml_is_contiguous_rows(op->src[0]));
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GGML_ASSERT(ggml_is_contiguous_rows(op->src[1]));
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@@ -1418,6 +1418,8 @@ typedef decltype(kernel_bin_fuse_impl<float, float, float>) kernel_bin_fuse_t;
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template [[host_name("kernel_bin_fuse_f32_f32_f32")]] kernel kernel_bin_fuse_t kernel_bin_fuse_impl<float, float, float>;
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template [[host_name("kernel_bin_fuse_f32_f32_f32_4")]] kernel kernel_bin_fuse_t kernel_bin_fuse_impl<float4, float4, float4>;
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template [[host_name("kernel_bin_fuse_f16_f16_f16")]] kernel kernel_bin_fuse_t kernel_bin_fuse_impl<half, half, half>;
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template [[host_name("kernel_bin_fuse_f16_f16_f16_4")]] kernel kernel_bin_fuse_t kernel_bin_fuse_impl<half4, half4, half4>;
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kernel void kernel_add_id(
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constant ggml_metal_kargs_add_id & args,
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