From: iurii zdebskyi <47012416+izdeby@users.noreply.github.com>
Date: Mon, 25 Mar 2019 22:48:11 +0000 (-0700)
Subject: Remove unused th_scalar_type (#18390)
X-Git-Tag: accepted/tizen/6.5/unified/20211028.231830~642
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=7a90bae416aba899fa1d3a5239fced428cf9f2e9;p=platform%2Fupstream%2Fpytorch.git

Remove unused th_scalar_type (#18390)

Summary:
th_scalar_type seems to be unused anywhere so can be removed.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18390

Reviewed By: ezyang

Differential Revision: D14591374

Pulled By: izdeby

fbshipit-source-id: 2113aa81229cdfdfb8dc5c951ea6dea3725b8582
---

diff --git a/aten/src/ATen/gen.py b/aten/src/ATen/gen.py
index a8a3769..8b0cf0d 100644
--- a/aten/src/ATen/gen.py
+++ b/aten/src/ATen/gen.py
@@ -178,17 +178,17 @@ backends = ['CPU', 'CUDA']
 densities = ['Dense', 'Sparse']
 extension_backends = ['MSNPU', 'XLA']
 
-# scalar_name, c_type, accreal, th_scalar_type, is_floating_type
+# scalar_name, c_type, accreal, is_floating_type
 scalar_types = [
-    ('Bool', 'uint8_t', 'BoolAccrealNotDefined', 'uint8_t', False),
-    ('Byte', 'uint8_t', 'Long', 'uint8_t', False),
-    ('Char', 'int8_t', 'Long', 'int8_t', False),
-    ('Double', 'double', 'Double', 'double', True),
-    ('Float', 'float', 'Double', 'float', True),
-    ('Int', 'int', 'Long', 'int32_t', False),
-    ('Long', 'int64_t', 'Long', 'int64_t', False),
-    ('Short', 'int16_t', 'Long', 'int16_t', False),
-    ('Half', 'Half', 'Double', 'at::Half', True),
+    ('Bool', 'uint8_t', 'BoolAccrealNotDefined', False),
+    ('Byte', 'uint8_t', 'Long', False),
+    ('Char', 'int8_t', 'Long', False),
+    ('Double', 'double', 'Double', True),
+    ('Float', 'float', 'Double', True),
+    ('Int', 'int', 'Long', False),
+    ('Long', 'int64_t', 'Long', False),
+    ('Short', 'int16_t', 'Long', False),
+    ('Half', 'Half', 'Double', True),
 ]
 
 # shared environment for non-derived base classes Type.h Tensor.h Storage.h
@@ -256,13 +256,12 @@ def format_yaml(data):
 
 
 def generate_storage_type_and_tensor(backend, density, scalar_type, declarations):
-    scalar_name, c_type, accreal, th_scalar_type, is_floating_type = scalar_type
+    scalar_name, c_type, accreal, is_floating_type = scalar_type
     env = {}
     density_tag = 'Sparse' if density == 'Sparse' else ''
     env['Density'] = density
     env['ScalarName'] = scalar_name
     env['ScalarType'] = c_type
-    env['THScalarType'] = th_scalar_type
     env['AccScalarName'] = accreal
     env['isFloatingType'] = is_floating_type
     env['isIntegralType'] = not is_floating_type
@@ -385,7 +384,7 @@ def generate_type_extension_backend(backend, declarations):
 def generate_type_extension_backend_derived_types(backend):
     env = {}
     env['Backend'] = backend
-    for scalar_name, c_type, _, _, _ in scalar_types:
+    for scalar_name, c_type, _, _ in scalar_types:
         env['Type'] = "{}{}Type".format(backend, scalar_name)
         env['ScalarName'] = scalar_name
         env['ScalarType'] = c_type
@@ -402,7 +401,7 @@ def generate_type_extension_backend_derived_types(backend):
 
 def generate_legacy_th_dispatcher(backend, density, scalar_type, declarations):
     assert density != 'Sparse'
-    scalar_name, c_type, accreal, th_scalar_type, is_floating_type = scalar_type
+    scalar_name, c_type, accreal, is_floating_type = scalar_type
     env = {}
     env['Backend'] = backend
     env['Dispatcher'] = "LegacyTH{}{}Dispatcher".format(backend, scalar_name)