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Fix error in pallas tutorial

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PiperOrigin-RevId: 737727935
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jax authors 2025-03-17 13:17:34 -07:00
parent 20658fabb3
commit 4f70471310
2 changed files with 10 additions and 10 deletions
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10
docs/pallas/tpu/sparse.ipynb
View File

@ -299,7 +299,7 @@
" ):\n",
" \"\"\"A DSD (Dense = Sparse @ Dense) matmul kernel.\"\"\"\n",
" del idxs_k_ref\n",
" blk_idx = pl.program_id(0)\n",
" blk_idx = pl.program_id(1)\n",
" is_start = blk_idx == 0\n",
" changed_blocks = (idxs_i_ref[blk_idx] != idxs_i_ref[jnp.maximum(blk_idx-1, 0)])\n",
" @pl.when(is_start | changed_blocks)\n",
@ -314,13 +314,13 @@
" o_ref[...] = accum_scratch[...].astype(o_ref.dtype)\n",
"\n",
"\n",
"def x_map(blk_idx, j, blk_idxs_i, blk_idxs_k):\n",
"def x_map(j, blk_idx, blk_idxs_i, blk_idxs_k):\n",
" del j, blk_idxs_i, blk_idxs_k\n",
" return (blk_idx, 0, 0)\n",
"def y_map(blk_idx, j, blk_idxs_i, blk_idxs_k):\n",
"def y_map(j, blk_idx, blk_idxs_i, blk_idxs_k):\n",
" del blk_idxs_i\n",
" return (blk_idxs_k[blk_idx], j)\n",
"def o_map(blk_idx, j, blk_idxs_i, blk_idxs_k):\n",
"def o_map(j, blk_idx, blk_idxs_i, blk_idxs_k):\n",
" del blk_idxs_k\n",
" return (blk_idxs_i[blk_idx], j)\n",
"\n",
@ -335,7 +335,7 @@
" num_scalar_prefetch=2,\n",
" # Note that while num_blocks is static here, Pallas does support\n",
" # dynamic grid sizes.\n",
" grid=(num_blocks, N // blk_N),\n",
" grid=(N // blk_N, num_blocks),\n",
" in_specs=[pl.BlockSpec((1, blk_M, blk_K), x_map),\n",
" pl.BlockSpec((blk_K, blk_N), y_map),\n",
" # Placeholder for a zeros-array used by input_output_aliases.\n",

10
docs/pallas/tpu/sparse.md
View File

@ -239,7 +239,7 @@ def dsd_kernel(idxs_i_ref, idxs_k_ref, # Scalar prefetch inputs.
):
"""A DSD (Dense = Sparse @ Dense) matmul kernel."""
del idxs_k_ref
blk_idx = pl.program_id(0)
blk_idx = pl.program_id(1)
is_start = blk_idx == 0
changed_blocks = (idxs_i_ref[blk_idx] != idxs_i_ref[jnp.maximum(blk_idx-1, 0)])
@pl.when(is_start | changed_blocks)
@ -254,13 +254,13 @@ def dsd_kernel(idxs_i_ref, idxs_k_ref, # Scalar prefetch inputs.
o_ref[...] = accum_scratch[...].astype(o_ref.dtype)
def x_map(blk_idx, j, blk_idxs_i, blk_idxs_k):
def x_map(j, blk_idx, blk_idxs_i, blk_idxs_k):
del j, blk_idxs_i, blk_idxs_k
return (blk_idx, 0, 0)
def y_map(blk_idx, j, blk_idxs_i, blk_idxs_k):
def y_map(j, blk_idx, blk_idxs_i, blk_idxs_k):
del blk_idxs_i
return (blk_idxs_k[blk_idx], j)
def o_map(blk_idx, j, blk_idxs_i, blk_idxs_k):
def o_map(j, blk_idx, blk_idxs_i, blk_idxs_k):
del blk_idxs_k
return (blk_idxs_i[blk_idx], j)
@ -275,7 +275,7 @@ grid_spec = pltpu.PrefetchScalarGridSpec(
num_scalar_prefetch=2,
# Note that while num_blocks is static here, Pallas does support
# dynamic grid sizes.
grid=(num_blocks, N // blk_N),
grid=(N // blk_N, num_blocks),
in_specs=[pl.BlockSpec((1, blk_M, blk_K), x_map),
pl.BlockSpec((blk_K, blk_N), y_map),
# Placeholder for a zeros-array used by input_output_aliases.