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Results 1 - 3 of 3 for conv_3_fn (0.18 sec)
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tensorflow/compiler/mlir/quantization/common/lift_as_function_call_test.cc
SmallVector<func::FuncOp> funcs = GetSortedFunctions(*module_op); ASSERT_THAT(funcs, SizeIs(3)); EXPECT_THAT(funcs[0].getSymName(), StrEq("conv_1_fn")); EXPECT_THAT(funcs[1].getSymName(), StrEq("conv_2_fn")); EXPECT_THAT(funcs[2].getSymName(), StrEq("conv_3_fn")); } } // namespace
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 26.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir
func.return %2: tensor<1x3x3x4xf32> } } // CHECK-LABEL: @conv_3_fn // CHECK: tf.XlaCallModule // CHECK-SAME: _entry_function = @composite_conv_fn_6, _original_entry_function = "composite_conv_fn_6" // CHECK: tf.XlaCallModule // CHECK-SAME: _entry_function = @composite_conv_fn_5, _original_entry_function = "composite_conv_fn_5" // CHECK-LABEL: @conv_1_fn // CHECK: tf.XlaCallModule
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 49.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// This case covers for the following quantization patterns because // activation clipping ranges take affect in scale and zp of the final // `stablehlo.uniform_quantize`. See more details in b/319168201. // * conv_fn // * conv_with_relu_fn // * conv_with_relu6_fn func.func @conv_srq(%arg0: tensor<1x5x5x2x!quant.uniform<i8:f32, 2.000000e+00:0>>) -> (tensor<1x4x4x4x!quant.uniform<i8:f32, 8.000000e+00:-128>>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0)