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test-schedule.lisp
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(in-package :caten/test-suite)
(defmacro with-protect-jit (&body body)
"Ensures the body is only executed under JIT=1"
`(if (= 1 (ctx:getenv :JIT))
(progn ,@body)
(skip "NEED JIT")))
(deftest matmul-schedule-test
(with-no-grad
(with-protect-jit
(let* ((m (caten (!matmul (make-tensor `(3 10)) (make-tensor `(10 20)))))
(allocs (loop for node in (graph-nodes (avm-graph m))
if (eql (node-type node) :Allocate) collect node)))
(ok (= (length allocs) 3) "gemm(a, b, c)")
(ok (every #'(lambda (x) (if (= (getattr x :nrank) 2)
t
(if (= (getattr x :nrank) 3)
(some #'(lambda (x) (= x 1)) (subseq (node-reads x) 0 3))
nil)))
allocs)
"Contiguous array creations are not allowed"))))
(testing "Static Matmul"
(flet ((f () (caten (!matmul (make-tensor `(10 20)) (!matmul (make-tensor `(20 30)) (make-tensor `(30 40)))))))
(with-no-grad
(with-protect-jit
(check-kernels 2 (f))
(check-args 5 :tensor (f))))))
(testing "Symbolic Matmul"
(flet ((f () (caten (!matmul (make-tensor `(a b)) (!matmul (make-tensor `(b c)) (make-tensor `(c d)))))))
(with-no-grad
(with-protect-jit
(check-kernels 2 (f))
(check-args 5 :tensor (f)))))))
(deftest embedding-schedule-test
(testing "Embedding < 1 Kernels, < 3 Tensors."
(with-no-grad
(with-protect-jit
(check-kernels 1 (caten (call (Embedding 100 100) (make-tensor `(100 100)))))
(check-args 3 t (caten (call (Embedding 100 100) (make-tensor `(100 100)))))
(check-kernels 1 (caten (call (Embedding 100 100) (make-tensor `(batch_size sentence_len)))))
(check-args 3 :tensor (caten (call (Embedding 100 100) (make-tensor `(batch_size sentence_len)))))))))
(defmacro define-kernel-count-test (name n-excepted description body)
`(deftest ,name
(flet ((op () ,body))
(with-protect-jit
(testing ,description
(ok (= ,n-excepted (n-kernels (op)))))))))
(deftest double-reduction-single-kernel
(flet ((op ()
;; [TODO] Fix for an inefficient backward
(caten (!add (call (Embedding 10 10) (make-tensor `(10 10))) (call (Embedding 10 10) (!cast (!add (iconst 'n) (!index-components `(1 10))) :float32))))))
(with-protect-jit
(testing "Embedding + Embedding is a single kernel (Except Failure)" (ng (= 2 (n-kernels (op)))))
(testing "Embedding + Embedding is a single kernel (no-grad)" (with-no-grad (ok (= 1 (n-kernels (op)))))))))
(define-kernel-count-test schedule-matmul 1
"Matmul = Single Kernel"
(caten (!matmul (make-tensor `(10 20)) (make-tensor `(20 30)))))
(define-kernel-count-test softmax-fusion 1
"Softmax(Softmax(Softmax(x))) is a single kernel"
(caten (!softmax (!softmax (!softmax (make-tensor `(3 3)))))))
(define-kernel-count-test padding-fusion 2
"Sin(Padding) Fusion. 1 Kernel for Tensor Creation, 1 Kernel For Fused Padding."
(caten (!cos (!sin (!padding (make-tensor `(10 10) :initial-element 2.0) `((2 2) (2 2)) :value 0.0)))))
(define-kernel-count-test elwise-after-reduction 1
"Activation(Matmul(X, Y)) is a single kernel"
(caten (!gelu (!matmul (make-tensor `(10 10)) (make-tensor `(10 10))))))
(define-kernel-count-test fuse-squared-matmul 2
"Matmul(Matmul(X, Y), Z) should separate into two kernels"
(caten (!matmul (!matmul (make-tensor `(10 10)) (make-tensor `(10 10))) (make-tensor `(10 10)))))
(define-kernel-count-test embedding-single-kernel 1
"Embedding is a single kernel"
(with-no-grad (caten (call (Embedding 10 10) (make-tensor `(b c))))))
(define-kernel-count-test conv-schedule 2
"ConvND = 2 Kernels (TODO: 1 Kernels)"
(with-no-grad (caten (forward (ConvND 3 6 `(5 5)) (make-tensor `(10 3 25 25))))))
(define-kernel-count-test conv-relu-schedule 2
"ConvND+ReLU = 2 Kernels (TODO: 1 Kernels)"
(with-no-grad (caten (!relu (forward (ConvND 3 6 `(5 5)) (make-tensor `(10 3 25 25)))))))
(define-kernel-count-test conv-gelu-schedule 2
"ConvND+GeLU = 2 Kernels (TODO: 1 Kernels)"
(with-no-grad (caten (!gelu (forward (ConvND 3 6 `(5 5)) (make-tensor `(10 3 25 25)))))))
(define-kernel-count-test conv-padded-schedule 3
"ConvND with padded will create no extra kernel. (TODO: 1 Kernel)"
(with-no-grad (caten (!gelu (!convnd (make-tensor `(10 3 25 25)) (make-tensor `(6 3 5 5)) :bias (make-tensor `(6)) :stride 1 :padding 2 :dilation 1 :groups 1)))))
(define-kernel-count-test symbolic-conv-schedule 2
"ConvND = 2 Kernels (TODO: 1 Kernels)"
(with-no-grad (caten (forward (ConvND 3 6 `(5 5)) (make-tensor `(b 3 25 25))))))
(define-kernel-count-test symbolic-conv-relu-schedule 2
"ConvND+ReLU = 2 Kernels (TODO: 1 Kernels)"
(with-no-grad (caten (!relu (forward (ConvND 3 6 `(5 5)) (make-tensor `(b 3 25 25)))))))
(define-kernel-count-test symbolic-conv-gelu-schedule 2
"ConvND+GeLU = 2 Kernels (TODO: 1 Kernels)"
(with-no-grad (caten (!gelu (forward (ConvND 3 6 `(5 5)) (make-tensor `(b 3 25 25)))))))
(define-kernel-count-test singleconv-schedule 2
"ConvND = 2 Kernels (TODO: 1 Kernels)"
(with-no-grad (caten (forward (ConvND 3 6 `(5 5)) (make-tensor `(1 3 25 25))))))
(define-kernel-count-test single-conv-relu-schedule 2
"ConvND+ReLU = 2 Kernels (TODO: 1 Kernels)"
(with-no-grad (caten (!relu (forward (ConvND 3 6 `(5 5)) (make-tensor `(1 3 25 25)))))))
(define-kernel-count-test single-conv-gelu-schedule 2
"ConvND+GeLU = 2 Kernels (TODO: 1 Kernels)"
(with-no-grad (caten (!gelu (forward (ConvND 3 6 `(5 5)) (make-tensor `(1 3 25 25)))))))
(define-kernel-count-test tril-triu-matmul 4
"!matmul+Tril+Triu is a single kernel"
(caten (!matmul (!tril (make-tensor `(10 1 1 10))) (!triu (make-tensor `(10 1))))))
(define-kernel-count-test serialize-argmax-single-kernel 2
"!argmax + !matmul should be separated"
(caten (!argmax (!matmul (make-tensor `(10 10)) (make-tensor `(10 10))))))
(define-kernel-count-test serialize-double-reduction-softmax 1
"Scheduler should be able to serialize double sofmtax"
(caten (!add (!softmax (make-tensor `(3 3))) (!softmax (make-tensor `(3 3))))))
(define-kernel-count-test sum-after-double-matmul 3
"Scheduler should be able to separate sum after matmul"
(caten (!sum (!matmul (make-tensor `(10 10)) (!matmul (make-tensor `(10 10)) (make-tensor `(10 10)))))))
(define-kernel-count-test activation-after-embedding 1
"Embedding+GeLU should be fused"
(with-no-grad (caten (!gelu (call (Embedding 10 10) (make-tensor `(b c)))))))
(define-kernel-count-test symbolic-gemm-fused 2
"Symbolic Composed Matmul"
(caten (!matmul (make-tensor `(a b)) (!matmul (make-tensor `(b c)) (make-tensor `(c d))))))
(define-kernel-count-test scaled-dot-product-attention 3
"ScaledDotProductAttention is 3 kernels"
(caten (scaled-dot-product-attention (rand `(4 8 8)) (rand `(4 8 8)) (rand `(4 8 8)))))
(define-kernel-count-test threefry-single-kernel 1
"threefry2x32 in a single kernel"
(caten (!rand `(3 3))))
(define-kernel-count-test batch-norm-single-kernel 1
"BatchNorm = 1 Kernel"
(caten (!batch-norm (make-tensor `(3 3)))))
(define-kernel-count-test layer-norm-single-kernel 1
"LayerNorm = 1 Kernel"
(caten (!layer-norm (make-tensor `(3 3)) `(3))))
(define-kernel-count-test rms-norm-single-kernel 1
"RMSNorm = 1 Kernel"
(caten (!rms-norm (make-tensor `(3 3)) `(3))))
(define-kernel-count-test softmax-1d 1
"Softmax(10)"
(caten (!softmax (make-tensor `(10)))))