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tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
// CHECK: "tf.FusedBatchNormV3" // CHECK-SAME: device = "/job:localhost/replica:0/task:0/device:GPU:0"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
got_outputs = converted_model.signatures['serving_default']( input_tensor=ops.convert_to_tensor(input_data) ) self.assertAllClose(expected_outputs, got_outputs, atol=0.05) @parameterized.parameters( ('abc,cde->abde', quant_opts_pb2.XLA), ('abc,dce->abde', quant_opts_pb2.XLA), ) def test_einsum_ptq_model( self, equation: str,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK: [[RESHAPE:%.*]] = mhlo.reshape [[DYNSLICE]] // CHECK: return [[RESHAPE]] %0 = "tf.Const"() {value = dense<[[0.000000e+00, 1.000000e+00, 2.000000e+00, 3.000000e+00], [4.000000e+00, 5.000000e+00, 6.000000e+00, 7.000000e+00]]> : tensor<2x4xf32>} : () -> tensor<2x4xf32> %1 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32> %2 = "tf.Const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
doc/go1.17_spec.html
2.71828 1.e+0 6.67428e-11 1E6 .25 .12345E+5 1_5. // == 15.0 0.15e+0_2 // == 15.0 0x1p-2 // == 0.25 0x2.p10 // == 2048.0 0x1.Fp+0 // == 1.9375 0X.8p-0 // == 0.5 0X_1FFFP-16 // == 0.1249847412109375 0x15e-2 // == 0x15e - 2 (integer subtraction) 0x.p1 // invalid: mantissa has no digits 1p-2 // invalid: p exponent requires hexadecimal mantissa
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Apr 11 20:22:45 UTC 2024 - 211.6K bytes - Viewed (0) -
src/regexp/testdata/re2-exhaustive.txt.bz2