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removed shared conflicts for 8x32x4 and 32x8x4 configurations

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Philippe Tillet
2019-06-13 17:51:54 -07:00
parent 21a9b92c87
commit 36e3667a9a
3 changed files with 11 additions and 11 deletions
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2
examples/python/tensorflow/dot.cpp
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@@ -119,7 +119,7 @@ class BlockSparseGemmOp : public OpKernel {
// just-in-time compile source-code
// jit.autotune("matmul", src, benchmark);
// jit.add_module("matmul", src, {4, 2, 8, 4, 2, 32, 1, 4, 1, 1, 8, 8, 8, 1});
jit.add_module("matmul", src, {16, 4, 128, 16, 4, 128, 2, 2, 2, 2, 8, 32, 8, 1});
jit.add_module("matmul", src, {16, 4, 128, 16, 4, 128, 1, 4, 2, 2, 8, 32, 8, 1});
// jit.add_module("matmul", src, {8, 8, 128, 16, 8, 128, 2, 2, 2, 2, 16, 32, 8, 1 });
triton::driver::kernel* kernel = jit.get_function("matmul");
triton::jit::launch_information info = jit.get_launch_info("matmul");

8
examples/python/tensorflow/run.py
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@@ -6,7 +6,7 @@ data_files_path = tf.resource_loader.get_data_files_path()
library_dir = os.path.dirname(os.path.realpath(__file__))
module = tf.load_op_library(os.path.join(library_dir, 'libtf_blocksparse.so'))
M, N, K = 8192, 8192, 8192
M, N, K = 256, 256, 256
a = tf.placeholder(tf.float16, shape=[M, K])
b = tf.placeholder(tf.float16, shape=[N, K])
locks = tf.placeholder(tf.int32, shape=[4096])
@@ -30,9 +30,9 @@ result = sess.run([c], feed_dict = {locks: np.zeros(4096),
# min_iters=100)
#print(end - start)
#print(2*M*N*K / (end - start) * 1e-12)
#hresult = np.dot(ha.T, hb).T
#dif = np.abs(result - hresult)
#print("dif: %f" % np.max(dif))
hresult = np.dot(ha.T, hb).T
dif = np.abs(result - hresult)
print("dif: %f" % np.max(dif))
#np.savetxt("dif.txt", dif, fmt="%5.2f")
#np.savetxt("gpu.txt", result, fmt="%5.2f")