Import Warp v1.15.0
PiperOrigin-RevId: 956678131 Change-Id: I09a672b7335a85a17c95773ffc29eb9272744986
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Copybara-Service
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@@ -20,8 +20,8 @@ jax-cuda12-pjrt==0.8.3; python_version >= '3.13' \
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jax-cuda12-pjrt==0.5.3; python_version < '3.13' \
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--hash=sha256:04ee111eaf5fc2692978ad4a5c84d5925e42eb05c1701849ba3a53f6515400cc \
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--hash=sha256:c5378306568ba0c81b230a779dd3194c9dd10339ab6360ae80928108d37e7f75
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warp-lang==1.14.0 \
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--hash=sha256:12656050545cc77bf9b9b155399496c1a6279b5b6c59e407507d6858a2beb4a2 \
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--hash=sha256:70cd127d0e9109417099649fedf9d00f39f1307ccb7a6e9fb87661337868d7de \
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--hash=sha256:f482787e8da9c9ef045601fde99095e16d604fbcc3cbb4a1e0cef0769388b316 \
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--hash=sha256:936b49ec78237f9760e58cbe9c46ee6f4244aefbd62071c4fa9fd3b313dfa878
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warp-lang==1.15.0 \
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--hash=sha256:06ef42c3ce522749268056653ea253645eb4a96ca164af74ae5113f0d55a6970 \
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--hash=sha256:3c0711b39ad98ff924d29654b028ec4eaa02330e207ae3efc72445e9cde05b34 \
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--hash=sha256:95c169f28bd7d6c78ac4ad62e2df1e61a096033748f757157fa4551aed80d010 \
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--hash=sha256:ee06e2e76bff84088a09e64315e71ed0e55e94c936ec664d7b05ebd56f66a363
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+20
-5
@@ -5,7 +5,7 @@ import ctypes
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from functools import reduce
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import warp as wp
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from warp._src.context import _build_launch_bounds, type_str
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from warp._src.context import _build_launch_bounds, _raise_cuda_launch_error, _validate_cluster_launch, type_str
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from mujoco.mjx.third_party.warp._src.jax import get_jax_device
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from warp._src.logger import log_warning
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from warp._src.types import array_t, matches_array_class, strides_from_shape
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@@ -129,10 +129,25 @@ def _warp_custom_callback(stream, buffers, opaque, opaque_len):
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hooks = kernel.module.get_kernel_hooks(kernel, device)
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assert hooks.forward, "Failed to find kernel entry point"
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# Launch the kernel.
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wp._src.context.runtime.core.wp_cuda_launch_kernel(
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device.context, hooks.forward, bounds.size, 0, 256, hooks.forward_smem_bytes, kernel_params, stream, None
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)
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# Reject non-cluster-aligned grids with a clear Python error instead of a
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# cryptic native CUDA error (block_dim=256, max_blocks=0 below).
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_validate_cluster_launch(hooks.cluster_dim, bounds.size, 256, 0)
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# Launch the kernel (cluster_dim is cached on the hooks at load time).
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if wp._src.context.runtime.core.wp_cuda_launch_kernel(
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device.context,
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hooks.forward,
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bounds.size,
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0,
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256,
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int(kernel.grid_stride),
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hooks.cluster_dim,
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hooks.forward_smem_bytes,
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kernel_params,
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stream,
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None,
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):
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_raise_cuda_launch_error(kernel, device)
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def _create_jax_warp_primitive():
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@@ -471,6 +471,8 @@ class FfiKernel:
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launch_bounds.size,
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0,
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256,
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int(self.kernel.grid_stride),
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hooks.cluster_dim,
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hooks.forward_smem_bytes,
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kernel_params,
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stream,
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+1
-1
@@ -37,7 +37,7 @@ dependencies = [
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[project.optional-dependencies]
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warp = [
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"warp-lang==1.14.0",
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"warp-lang==1.15.0",
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]
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dev = [
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"isort",
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