Updated examples in readme
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3 changed files with 221 additions and 36 deletions
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@ -30,6 +30,63 @@ kp_log = logging.getLogger("kp")
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#
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# assert tensor_out.data() == [2.0, 4.0, 6.0]
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def test_end_to_end():
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mgr = kp.Manager()
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tensor_in_a = mgr.tensor([2, 2, 2])
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tensor_in_b = mgr.tensor([1, 2, 3])
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tensor_out_a = mgr.tensor([0, 0, 0])
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tensor_out_b = mgr.tensor([0, 0, 0])
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params = [tensor_in_a, tensor_in_b, tensor_out_a, tensor_out_b]
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shader = """
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#version 450
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layout (local_size_x = 1) in;
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// The input tensors bind index is relative to index in parameter passed
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layout(set = 0, binding = 0) buffer buf_in_a { float in_a[]; };
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layout(set = 0, binding = 1) buffer buf_in_b { float in_b[]; };
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layout(set = 0, binding = 2) buffer buf_out_a { float out_a[]; };
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layout(set = 0, binding = 3) buffer buf_out_b { float out_b[]; };
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// Kompute supports push constants updated on dispatch
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layout(push_constant) uniform PushConstants {
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float val;
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} push_const;
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// Kompute also supports spec constants on initalization
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layout(constant_id = 0) const float const_one = 0;
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void main() {
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uint index = gl_GlobalInvocationID.x;
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out_a[index] += in_a[index] * in_b[index];
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out_b[index] += const_one * push_const.val;
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}
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"""
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workgroup = (3, 1, 1)
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spec_consts = [2]
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push_consts_a = [2]
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push_consts_b = [3]
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algo = mgr.algorithm(params, kp.Shader.compile_source(shader), workgroup, spec_consts)
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(mgr.sequence()
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.record(kp.OpTensorSyncDevice(params))
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.record(kp.OpAlgoDispatch(algo, push_consts_a))
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.record(kp.OpAlgoDispatch(algo, push_consts_b))
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.eval())
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sq = mgr.sequence()
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sq.eval_async(kp.OpTensorSyncLocal(params))
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sq.eval_await()
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assert tensor_out_a.data().tolist() == [4, 8, 12]
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assert tensor_out_b.data().tolist() == [10, 10, 10]
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def test_shader_str():
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