[Lang] [type] Rename some parameters in quant APIs

python/taichi/_snode/fields_builder.py

@@ -99,11 +99,11 @@ def bitmasked(self, indices: Union[Sequence[_Axis], _Axis],
         return self.root.bitmasked(indices, dimensions)
 
     def quant_array(self, indices: Union[Sequence[_Axis], _Axis],
-                    dimensions: Union[Sequence[int], int], num_bits: int):
+                    dimensions: Union[Sequence[int], int], max_num_bits: int):
         """Same as :func:`taichi.lang.snode.SNode.quant_array`"""
         self._check_not_finalized()
         self.empty = False
-        return self.root.quant_array(indices, dimensions, num_bits)
+        return self.root.quant_array(indices, dimensions, max_num_bits)
 
     def place(self,
               *args: Any,

python/taichi/lang/snode.py

@@ -96,21 +96,21 @@ def bitmasked(self, axes, dimensions):
             self.ptr.bitmasked(axes, dimensions,
                                impl.current_cfg().packed))
 
-    def quant_array(self, axes, dimensions, num_bits):
+    def quant_array(self, axes, dimensions, max_num_bits):
         """Adds a quant_array SNode as a child component of `self`.
 
         Args:
             axes (List[Axis]): Axes to activate.
             dimensions (Union[List[int], int]): Shape of each axis.
-            num_bits (int): Number of bits to use.
+            max_num_bits (int): Maximum number of bits it can hold.
 
         Returns:
             The added :class:`~taichi.lang.SNode` instance.
         """
         if isinstance(dimensions, int):
             dimensions = [dimensions] * len(axes)
         return SNode(
-            self.ptr.quant_array(axes, dimensions, num_bits,
+            self.ptr.quant_array(axes, dimensions, max_num_bits,
                                  impl.current_cfg().packed))
 
     def place(self, *args, offset=None):

python/taichi/types/quantized_types.py

@@ -27,13 +27,13 @@ def int(bits, signed=True, compute=None):  # pylint: disable=W0622
     return _type_factory.get_quant_int_type(bits, signed, compute)
 
 
-def fixed(frac, signed=True, range=1.0, compute=None, scale=None):  # pylint: disable=W0622
+def fixed(bits, signed=True, max_value=1.0, compute=None, scale=None):
     """Generates a quantized type for fixed-point real numbers.
 
     Args:
-        frac (int): Number of bits.
+        bits (int): Number of bits.
         signed (bool): Signed or unsigned.
-        range (float): Range of the number.
+        max_value (float): Maximum value of the number.
         compute (DataType): Type for computation.
         scale (float): Scaling factor. The argument is prioritized over range.
 
@@ -44,14 +44,14 @@ def fixed(frac, signed=True, range=1.0, compute=None, scale=None):  # pylint: di
         compute = impl.get_runtime().default_fp
     if isinstance(compute, _ti_python_core.DataType):
         compute = compute.get_ptr()
-    # TODO: handle cases with frac > 32
-    frac_type = int(bits=frac, signed=signed, compute=i32)
+    # TODO: handle cases with bits > 32
+    underlying_type = int(bits=bits, signed=signed, compute=i32)
     if scale is None:
         if signed:
-            scale = range / 2**(frac - 1)
+            scale = max_value / 2 ** (bits - 1)
         else:
-            scale = range / 2**frac
-    return _type_factory.get_quant_fixed_type(frac_type, compute, scale)
+            scale = max_value / 2 ** bits
+    return _type_factory.get_quant_fixed_type(underlying_type, compute, scale)
 
 
 def float(exp, frac, signed=True, compute=None):  # pylint: disable=W0622

tests/python/test_bitpacked_fields.py

@@ -157,7 +157,7 @@ def test_bitpacked_fields_struct_for():
     block_size = 16
     N = 64
     cell = ti.root.pointer(ti.i, N // block_size)
-    fixed32 = ti.types.quant.fixed(frac=32, range=1024)
+    fixed32 = ti.types.quant.fixed(bits=32, max_value=1024)
 
     x = ti.field(dtype=fixed32)
     bitpack = ti.BitpackedFields(max_num_bits=32)

tests/python/test_matrix_different_type.py

@@ -71,9 +71,9 @@ def verify():
 @test_utils.test(require=ti.extension.quant_basic)
 def test_quant_type():
     qit1 = ti.types.quant.int(bits=10, signed=True)
-    qfxt1 = ti.types.quant.fixed(frac=10, signed=True, scale=0.1)
+    qfxt1 = ti.types.quant.fixed(bits=10, signed=True, scale=0.1)
     qit2 = ti.types.quant.int(bits=22, signed=False)
-    qfxt2 = ti.types.quant.fixed(frac=22, signed=False, scale=0.1)
+    qfxt2 = ti.types.quant.fixed(bits=22, signed=False, scale=0.1)
     type_list = [[qit1, qfxt2], [qfxt1, qit2]]
     a = ti.Matrix.field(len(type_list), len(type_list[0]), dtype=type_list)
     b = ti.Matrix.field(len(type_list), len(type_list[0]), dtype=type_list)

tests/python/test_quant_array.py

@@ -10,7 +10,7 @@ def test_1D_quant_array():
 
     N = 32
 
-    ti.root.quant_array(ti.i, N, num_bits=32).place(x)
+    ti.root.quant_array(ti.i, N, max_num_bits=32).place(x)
 
     @ti.kernel
     def set_val():
@@ -31,7 +31,7 @@ def test_1D_quant_array_negative():
     N = 4
     qi7 = ti.types.quant.int(7)
     x = ti.field(dtype=qi7)
-    ti.root.quant_array(ti.i, N, num_bits=32).place(x)
+    ti.root.quant_array(ti.i, N, max_num_bits=32).place(x)
 
     @ti.kernel
     def assign():
@@ -45,13 +45,13 @@ def assign():
 
 @test_utils.test(require=ti.extension.quant, debug=True)
 def test_1D_quant_array_fixed():
-    qfxt = ti.types.quant.fixed(frac=8, range=2)
+    qfxt = ti.types.quant.fixed(bits=8, max_value=2)
 
     x = ti.field(dtype=qfxt)
 
     N = 4
 
-    ti.root.quant_array(ti.i, N, num_bits=32).place(x)
+    ti.root.quant_array(ti.i, N, max_num_bits=32).place(x)
 
     @ti.kernel
     def set_val():
@@ -75,7 +75,7 @@ def test_2D_quant_array():
 
     M, N = 4, 8
 
-    ti.root.quant_array(ti.ij, (M, N), num_bits=32).place(x)
+    ti.root.quant_array(ti.ij, (M, N), max_num_bits=32).place(x)
 
     @ti.kernel
     def set_val():
@@ -102,7 +102,7 @@ def test_quant_array_struct_for():
 
     x = ti.field(dtype=qi7)
     cell.dense(ti.i, block_size // 4).quant_array(ti.i, 4,
-                                                  num_bits=32).place(x)
+                                                  max_num_bits=32).place(x)
 
     @ti.kernel
     def activate():

tests/python/test_quant_array_vectorization.py

@@ -18,9 +18,9 @@ def test_vectorized_struct_for():
 
     block = ti.root.pointer(ti.ij, (n_blocks, n_blocks))
     block.dense(ti.ij, (N // n_blocks, N // (bits * n_blocks))).quant_array(
-        ti.j, bits, num_bits=bits).place(x)
+        ti.j, bits, max_num_bits=bits).place(x)
     block.dense(ti.ij, (N // n_blocks, N // (bits * n_blocks))).quant_array(
-        ti.j, bits, num_bits=bits).place(y)
+        ti.j, bits, max_num_bits=bits).place(y)
 
     @ti.kernel
     def init():
@@ -61,11 +61,11 @@ def test_offset_load():
 
     block = ti.root.pointer(ti.ij, (n_blocks, n_blocks))
     block.dense(ti.ij, (N // n_blocks, N // (bits * n_blocks))).quant_array(
-        ti.j, bits, num_bits=bits).place(x)
+        ti.j, bits, max_num_bits=bits).place(x)
     block.dense(ti.ij, (N // n_blocks, N // (bits * n_blocks))).quant_array(
-        ti.j, bits, num_bits=bits).place(y)
+        ti.j, bits, max_num_bits=bits).place(y)
     block.dense(ti.ij, (N // n_blocks, N // (bits * n_blocks))).quant_array(
-        ti.j, bits, num_bits=bits).place(z)
+        ti.j, bits, max_num_bits=bits).place(z)
 
     @ti.kernel
     def init():
@@ -121,11 +121,11 @@ def test_evolve():
 
     block = ti.root.pointer(ti.ij, (n_blocks, n_blocks))
     block.dense(ti.ij, (N // n_blocks, N // (bits * n_blocks))).quant_array(
-        ti.j, bits, num_bits=bits).place(x)
+        ti.j, bits, max_num_bits=bits).place(x)
     block.dense(ti.ij, (N // n_blocks, N // (bits * n_blocks))).quant_array(
-        ti.j, bits, num_bits=bits).place(y)
+        ti.j, bits, max_num_bits=bits).place(y)
     block.dense(ti.ij, (N // n_blocks, N // (bits * n_blocks))).quant_array(
-        ti.j, bits, num_bits=bits).place(z)
+        ti.j, bits, max_num_bits=bits).place(z)
 
     @ti.kernel
     def init():

tests/python/test_quant_atomics.py

@@ -50,7 +50,7 @@ def test_quant_int_atomics_b64():
 
     x = ti.field(dtype=qi13)
 
-    ti.root.quant_array(ti.i, 4, num_bits=64).place(x)
+    ti.root.quant_array(ti.i, 4, max_num_bits=64).place(x)
 
     x[0] = 100
     x[1] = 200
@@ -70,8 +70,8 @@ def foo():
 
 @test_utils.test(require=ti.extension.quant_basic, debug=True)
 def test_quant_fixed_atomics():
-    qfxt13 = ti.types.quant.fixed(frac=13, signed=True, scale=0.1)
-    qfxt19 = ti.types.quant.fixed(frac=19, signed=False, scale=0.1)
+    qfxt13 = ti.types.quant.fixed(bits=13, signed=True, scale=0.1)
+    qfxt19 = ti.types.quant.fixed(bits=19, signed=False, scale=0.1)
 
     x = ti.field(dtype=qfxt13)
     y = ti.field(dtype=qfxt19)

tests/python/test_quant_fixed.py

@@ -8,7 +8,7 @@
 
 @test_utils.test(require=ti.extension.quant_basic)
 def test_quant_fixed():
-    qfxt = ti.types.quant.fixed(frac=32, range=2)
+    qfxt = ti.types.quant.fixed(bits=32, max_value=2)
     x = ti.field(dtype=qfxt)
 
     bitpack = ti.BitpackedFields(max_num_bits=32)
@@ -31,7 +31,7 @@ def foo():
 
 @test_utils.test(require=ti.extension.quant_basic)
 def test_quant_fixed_matrix_rotation():
-    qfxt = ti.types.quant.fixed(frac=16, range=1.2)
+    qfxt = ti.types.quant.fixed(bits=16, max_value=1.2)
 
     x = ti.Matrix.field(2, 2, dtype=qfxt)
 
@@ -61,7 +61,7 @@ def rotate_18_degrees():
 
 @test_utils.test(require=ti.extension.quant_basic)
 def test_quant_fixed_implicit_cast():
-    qfxt = ti.types.quant.fixed(frac=13, scale=0.1)
+    qfxt = ti.types.quant.fixed(bits=13, scale=0.1)
     x = ti.field(dtype=qfxt)
 
     bitpack = ti.BitpackedFields(max_num_bits=32)
@@ -78,7 +78,7 @@ def foo():
 
 @test_utils.test(require=ti.extension.quant_basic)
 def test_quant_fixed_cache_read_only():
-    qfxt = ti.types.quant.fixed(frac=15, scale=0.1)
+    qfxt = ti.types.quant.fixed(bits=15, scale=0.1)
     x = ti.field(dtype=qfxt)
 
     bitpack = ti.BitpackedFields(max_num_bits=32)

tests/python/test_quant_time_integration.py

@@ -28,7 +28,7 @@ def test_quant_time_integration(use_quant, use_exponent, use_shared_exp):
                 bitpack.place(x.get_scalar_field(1))
                 ti.root.place(bitpack)
         else:
-            qfxt = ti.types.quant.fixed(frac=16, range=2)
+            qfxt = ti.types.quant.fixed(bits=16, max_value=2)
             x = ti.Vector.field(2, dtype=qfxt)
             bitpack = ti.BitpackedFields(max_num_bits=32)
             bitpack.place(x)