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synced 2026-01-23 22:08:08 -05:00
needs_load in image correct
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@@ -177,6 +177,7 @@ def compile(input, output_fn):
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saved_binaries = set()
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kernels_to_save = set()
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kernels_to_not_save = set()
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import pyopencl as cl
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for self, args in local_cl_cache:
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for i,a in enumerate(args[2:]):
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@@ -186,7 +187,9 @@ def compile(input, output_fn):
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if cl.kernel_arg_access_qualifier.READ_ONLY == access_qualifer or cl.kernel_arg_type_qualifier.CONST == type_qualifer:
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kernels_to_save.add(a)
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else:
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kernels_to_save.discard(a)
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# this is written to at some point, we don't have to save it
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kernels_to_not_save.add(a)
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kernels_to_save -= kernels_to_not_save
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gobj = 0
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for self, args in local_cl_cache:
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@@ -226,7 +229,7 @@ def compile(input, output_fn):
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if needs_load:
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data = np.empty(a.size, dtype=np.uint8)
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CL.enqueue_copy(data, a, is_blocking=True)
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weights.append(data)
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weights.append(data.tobytes())
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elif isinstance(a, cl.Image):
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needs_load = a in kernels_to_save
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row_pitch = (a.shape[0]*4*2 + 63)//64 * 64
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@@ -249,14 +252,14 @@ def compile(input, output_fn):
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# multiple of 32 isn't enough
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jdat['objects'].append({
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"id": ptr, "needs_load": True, "size": size, "arg_type": "image2d_t",
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"id": ptr, "needs_load": needs_load, "size": size, "arg_type": "image2d_t",
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"width": a.shape[0], "height": a.shape[1], "row_pitch": row_pitch,
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})
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if needs_load:
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data = np.empty(size, dtype=np.uint8)
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CL.enqueue_copy(data, buf.cl, is_blocking=True)
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weights.append(data)
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weights.append(data.tobytes())
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else:
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raise Exception("unknown object", a)
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#print(jdat['objects'][-1])
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